CN111526772A - 通过使用单色光折射率来表征组织不平度 - Google Patents
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Abstract
本发明公开了一种外科图像采集系统,所述外科图像采集系统包括:多个照射源,每个照射源发射指定波长的光;光传感器,所述光传感器用于接收从被所述照射源中的每个照射源照射的组织样本反射的光;以及计算系统。所述计算系统可当所述组织样本被所述照射源照射时从光传感器接收数据,以及计算与所述组织内的结构的一个或多个特性相关的结构数据。所述结构数据可为表面特性(诸如表面粗糙度)或结构组成(诸如胶原和弹性蛋白组成)。所述计算机系统还可将结构数据传输到智能外科装置。所述智能装置可包括智能缝合器、智能RF密封装置或智能超声切割装置。所述系统可包括控制器和计算机启用的指令以实现以上目的。
Description
相关申请的交叉引用
本申请按照美国法典第35卷第119条(e)款的规定要求2018年3月28日提交的标题为“USE OF LASER LIGHT AND RED-GREEN-BLUE COLORATION TO DETERMINE PROPERTIESOF BACK SCATTERED LIGHT”的美国临时专利申请序列号62/649,291的优先权权益,该临时专利申请的公开内容全文以引用方式并入本文。
本申请按照美国法典第35卷第119条(e)款的规定还要求2017年12月28日提交的标题为“INTERACTIVE SURGICAL PLATFORM”的美国临时专利申请序列号62/611,341、2017年12月28日提交的标题为“CLOUD-BASED MEDICAL ANALYTICS”的美国临时专利申请序列号62/611,340和2017年12月28日提交的标题为“ROBOT ASSISTED SURGICAL PLATFORM”的美国临时专利申请序列号62/611,339的优先权权益,这些临时专利申请中的每个的公开内容全文以引用方式并入本文。
背景技术
本公开涉及各种外科系统。外科手术通常在外科手术室或医疗设施(诸如,例如医院)的房间中执行。通常在患者周围形成无菌场。无菌场可包括被恰当地穿着的擦洗的团队构件,以及该区域中的所有家具和固定件。在执行外科手术时利用了各种外科装置和系统。
发明内容
在一些方面,外科图像采集系统可包括:多个照射源,其中每个照射源被配置为发射具有指定中心波长的光;光传感器,该光传感器被配置为当组织样本被该多个照射源中的一个或多个照射源照射时接收光的从组织样本反射的部分;以及计算系统。该计算系统还被配置为当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据,基于当组织样本被该照射源中的每个照射源照射时由该光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据,以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收。该结构的特性可为表面特性或结构组成。
在外科图像采集系统的一个方面,该多个照射源可包括红光照射源、绿光照射源和蓝光照射源中的至少一者。
在外科图像采集的一个方面,该多个照射源可包括红外光照射源和紫外光照射源中的至少一者。
在外科图像采集系统的一个方面,被配置为计算与组织内的结构的特性相关的结构数据的计算系统可包括被配置为计算与组织内的结构的组成相关的结构数据的计算系统。
在外科图像采集的一个方面,被配置为计算与组织内的结构的特性相关的结构数据的计算系统包括被配置为计算与组织内的结构的表面粗糙度相关的结构数据的计算系统。
在一些方面,外科图像采集系统可包括处理器和耦接到该处理器的存储器。
该存储器可存储指令,这些指令能由处理器执行以:控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由该光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收。在一些方面,该结构的特性可为表面特性或结构组成。
在外科图像采集系统的一个方面,能由处理器执行以控制多个照射源的操作的指令包括用于由多个照射源中的每个照射源依次照射组织样本的一个或多个指令。
在外科图像采集系统的一个方面,能由处理器执行以基于由光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据的指令可包括用于基于由组织样本反射的照射的相移来计算与组织样本内的结构的特性相关的结构数据的一个或多个指令。
在外科图像采集系统的一个方面,结构组成可包括组织中胶原和弹性蛋白的相对组成。
在外科图像采集系统的一个方面,结构组成可包括组织的水合量。
在一些方面,外科图像采集系统可包括控制电路,该控制电路被配置为:控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由该光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收。在一些方面,该结构的特性可为表面特性或结构组成。
在外科图像采集系统的一个方面,该控制电路被配置为传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中智能外科装置是智能外科缝合器。
在外科图像采集系统的一个方面,该控制电路还被配置为基于结构的特性来传输与砧座压力相关的数据,该数据将由智能外科缝合器接收。
在外科图像采集系统的一个方面,该控制电路被配置为传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中智能外科装置是智能外科RF密封装置。
在外科图像采集系统的一个方面,该控制电路还被配置为基于结构的特性来传输与RF功率量相关的数据,该数据将由智能RF密封装置接收。
在外科图像采集系统的一个方面,该控制电路被配置为传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中智能外科装置是智能超声切割装置。
在外科图像采集系统的一个方面,该控制电路还被配置为基于结构的特性来传输与提供给超声换能器的功率量或该超声换能器的驱动频率相关的数据,该数据将由超声切割装置接收。
在一些方面,提供了存储计算机可读指令的非暂态计算机可读介质,这些计算机可读指令在被执行时,使得机器:控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由该光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收。在一些方面,该结构的特性为表面特性或结构组成。
附图说明
各种方面的特征在所附权利要求书中进行了特别描述。然而,通过参考以下结合如下附图所作的说明可最好地理解所述多个方面(有关手术组织和方法)及其进一步的目的和优点。
图1为根据本公开的至少一个方面的计算机实现的交互式外科系统的框图。
图2为根据本公开的至少一个方面的用于在手术室中执行外科规程的外科系统。
图3为根据本公开的至少一个方面的与可视化系统、机器人系统和智能器械配对的外科集线器。
图4为根据本公开的至少一个方面的外科集线器壳体和可滑动地容纳在外科集线器壳体的抽屉中的组合发生器模块的局部透视图。
图5为根据本公开的至少一个方面的具有双极、超声和单极触点以及排烟部件的组合发生器模块的透视图。
图6示出了根据本公开的至少一个方面的用于横向模块化外壳的多个横向对接端口的单个电力总线附接件,该横向模块化外壳被配置为容纳多个模块。
图7示出了根据本公开的至少一个方面的被配置为容纳多个模块的竖直模块化外壳。
图8示出了根据本公开的至少一个方面的包括模块化通信集线器的外科数据网络,该模块化通信集线器被配置为将位于医疗设施的一个或多个手术室中的模块化装置或专用于外科操作的医疗设施中的任何房间连接到云。
图9为根据本公开的至少一个方面的计算机实现的交互式外科系统。
图10示出了根据本公开的至少一个方面的包括耦接到模块化控制塔的多个模块的外科集线器。
图11示出了根据本公开的至少一个方面的通用串行总线(USB)网络集线器装置的一个方面。
图12示出了根据本公开的至少一个方面的外科器械或工具的控制系统的逻辑图。
图13示出了根据本公开的至少一个方面的被配置为控制外科器械或工具的各个方面的控制电路。
图14示出了根据本公开的至少一个方面的被配置为控制外科器械或工具的各个方面的组合逻辑电路。
图15示出了根据本公开的至少一个方面的被配置为控制外科器械或工具的各方面的时序逻辑电路。
图16示出了根据本公开的至少一个方面的包括多个马达的外科器械或工具,多个马达可被激活以执行各种功能。
图17为根据本公开的至少一个方面的被配置为操作本文所述的外科工具的机器人外科器械的示意图。
图18示出了根据本公开的至少一个方面的被编程以控制位移构件的远侧平移的外科器械的框图。
图19为根据本公开的至少一个方面的被配置为控制各个功能的外科器械的示意图。
图20为根据本公开的至少一个方面的被配置为除了其他益处之外还提供无电感器调谐的发生器的简化框图。
图21示出了根据本公开的至少一个方面的发生器(其为图20的发生器的一种形式)的示例。
图22A示出了根据本公开的至少一个方面的可并入到外科系统中的可视化系统。
图22B示出了根据本公开的至少一个方面的图22A的可视化系统的手持单元的顶部平面图。
图22C示出了根据本公开的至少一个方面的图22A所描绘的手持单元连同设置在其中的成像传感器的侧平面视图。
图22D示出了根据本公开的至少一个方面的图22C所描绘的多个成像传感器。
图23A示出了根据本公开的至少一个方面的可并入在图22A的可视化系统中的多个激光发射器。
图23B示出了根据本公开的至少一个方面的具有拜耳滤色器图案的图像传感器的照射。
图23C示出了根据本公开的至少一个方面的用于多个帧的像素阵列的操作的图形表示。
图23D示出了根据本公开的至少一个方面的色度帧和亮度帧的操作序列的示例的示意图。
图23E示出了根据本公开的至少一个方面的传感器和发射器图案的示例。
图23F示出了根据本公开的至少一个方面的像素阵列的操作的图形表示。
图24示出了根据本公开的一个方面的用于NIR光谱的仪器的一个示例的示意图。
图25示意性地示出了根据本公开的至少一个方面的用于基于傅里叶变换红外成像来确定NIRS的仪器的一个示例。
图26A-C示出了根据本公开的至少一个方面的从移动的血细胞散射的光波长的变化。
图27示出了根据本公开的至少一个方面的可用于检测从组织的部分散射的激光的多普勒频移的仪器的方面。
图28示意性地示出了根据本公开的至少一个方面的对投射在具有表面下结构的组织上的光的一些光学效应。
图29示出了根据本公开的至少一个方面的对投射在具有表面下结构的组织样本上的光的多普勒分析的效应的示例。
图30A-C示意性地示出了根据本公开的至少一个方面的基于各种激光波长下的激光多普勒分析对组织深度处的移动的血细胞的检测。
图30D示出了根据本公开的至少一个方面的随时间推移用多个光波长照射CMOS成像传感器的效应。
图31示出了根据本公开的至少一个方面的使用多普勒成像来检测存在表面下血管的示例。
图32示出了根据本公开的至少一个方面的基于由于血细胞流经其中而产生的蓝光的多普勒频移来识别表面下血管的方法。
图33示意性地示出了根据本公开的至少一个方面的深部表面下血管的定位。
图34示意性地示出了根据本公开的至少一个方面的浅层表面下血管的定位。
图35示出了根据本公开的至少一个方面的包括表面图像和表面下血管的图像的复合图像。
图36为根据本公开的至少一个方面的用于确定一块组织中的表面特征的深度的方法的流程图。
图37示出了根据本公开的至少一个方面的非血管结构的位置和特性对投射在组织样本上的光的效应。
图38示意性地描绘了根据本公开的至少一个方面的在全场OCT装置中使用的部件的一个示例。
图39示意性地示出了根据本公开的至少一个方面的组织异常对从组织样本反射的光的效应。
图40示出了根据本公开的至少一个方面的来源于组织可视化模态的组合的图像显示。
图41A-C示出了根据本公开的至少一个方面的可被提供给外科医生以用于视觉识别外科部位中的组织的表面结构和表面下结构的组合的显示的若干方面。
图42为根据本公开的至少一个方面的用于向智能外科器械提供与组织的特性相关的信息的方法的流程图。
图43A和图43B示出了根据本公开的至少一个方面的多像素光传感器,该多像素光传感器接收分别由依次暴露于红光、绿光、蓝光和红外光以及红色激光源、绿色激光源、蓝色激光源和紫外激光源照射的组织反射的光。
图44A和图44B示出了根据本公开的至少一个方面的分别具有单个光传感器和两个光传感器的细长相机探头的远侧端部。
图44C示出了根据本公开的至少一个方面的具有多个像素阵列的单片传感器的示例的透视图。
图45示出了根据本公开的至少一个方面的细长相机探头的两个图像传感器可用的一对视场的一个示例。
图46A-D示出了根据本公开的至少一个方面的细长相机探头的两个图像传感器可用的一对视场的附加示例。
图47A-C示出了根据本公开的至少一个方面的使用并入图46D所公开的特征的成像系统的示例。
图48A和图48B示出了根据本公开的至少一个方面的使用双成像系统的另一个示例。
图49A-C示出了根据本公开的至少一个方面的可受益于在外科部位处使用多图像分析的外科步骤序列的示例。
图50为根据本公开的至少一个方面的描绘外科集线器的态势感知的时间轴。
具体实施方式
本申请的申请人拥有于2018年3月28日提交的以下美国临时专利申请,这些临时专利申请中的每个以引用方式全文并入本文:
·美国临时专利申请序列号62/649,302,其标题为“INTERACTIVE SURGICALSYSTEMS WITH encrypted COMMUNICATION CAPABILITIES”;
·美国临时专利申请序列号62/649,294,其标题为“DATA STRIPPING METHOD TOINTERROGATE PATIENT RECORDS AND CREATE ANONYMIZED RECORD”;
·美国专利申请序列号62/649,300,其标题为“SURGICAL HUB SITUATIONALAWARENESS”;
·美国临时专利申请序列号62/649,309,其标题为“SURGICAL HUB SPATIALAWARENESS TO DETERMINE DEVICES IN OPERATING THEATER”;
·美国临时专利申请序列号62/649,310,其标题为“COMPUTER IMPLEMENTEDINTERACTIVE SURGICAL SYSTEMS”;
·美国临时专利申请序列号62/649,291,其标题为“USE OF LASER LIGHT ANDRED-GREEN-BLUE COLORATION TO DETERMINE PROPERTIES OF BACK SCATTERED LIGHT”;
·美国临时专利申请序列号62/649,296,其标题为“ADAPTIVE CONTROL PROGRAMUPDATES FOR SURGICAL DEVICES”;
·美国临时专利申请序列号62/649,333,其标题为“CLOUD-BASED MEDICALANALYTICS FOR CUSTOMIZATION AND RECOMMENDATIONS TO A USER”;
·美国临时专利申请序列号62/649,327,其标题为“CLOUD-BASED MEDICALANALYTICS FOR SECURITY AND AUTHENTICATION TRENDS AND REACTIVE MEASURES”;
·美国临时专利申请序列号62/649,315,其标题为“DATA HANDLING ANDPRIORITIZATION IN A CLOUD ANALYTICS NETWORK”;
·美国专利申请序列号62/649,313,其标题为“CLOUD INTERFACE FOR COUPLEDSURGICAL DEVICES”;
·美国临时专利申请序列号62/649,320,其标题为“DRIVE ARRANGEMENTS FORROBOT-ASSISTED SURGICAL PLATFORMS”;
·美国临时专利申请序列号62/649,307,其标题为“AUTOMATIC TOOLADJUSTMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS”;以及
·美国临时专利申请序列号62/649,323,其标题为“SENSING ARRANGEMENTS FORROBOT-ASSISTED SURGICAL PLATFORMS”。
本申请的申请人拥有于2018年3月29日提交的以下美国专利申请,这些专利申请中的每个以引用方式全文并入本文:
·美国专利申请序列号__________,其标题为“INTERACTIVE SURGICAL SYSTEMSWITH ENCRYPTED COMMUNICATION CAPABILITIES”;代理人案卷号为END8499USNP/170766;
·美国专利申请序列号__________,其标题为“INTERACTIVE SURGICAL SYSTEMSWITH CONDITION HANDLING OF DEVICES AND DATA CAPABILITIES”;代理人案卷号为END8499USNP1/170766-1;
·美国专利申请序列号__________,其标题为“SURGICAL HUB COORDINATION OFCONTROL AND COMMUNICATION OF OPERATING ROOM DEVICES”;代理人案卷号为END8499USNP2/170766-2;
·美国专利申请序列号__________,其标题为“SPATIAL AWARENESS OF SURGICALHUBS IN OPERATING ROOMS”;代理人案卷号为END8499USNP3/170766-3;
·美国专利申请序列号__________,其标题为“COOPERATIVE UTILIZATION OFDATA DERIVED FROM SECONDARY SOURCES BY INTELLIGENT SURGICAL HUBS”;代理人案卷号为END8499USNP4/170766-4;
·美国专利申请序列号__________,其标题为“SURGICAL HUB CONTROLARRANGEMENTS”;代理人案卷号为END8499USNP5/170766-5;
·美国专利申请序列号__________,其标题为“DATA STRIPPING METHOD TOINTERROGATE PATIENT RECORDS AND CREATE ANONYMIZED RECORD”;代理人案卷号为END8500USNP/170767;
·美国专利申请序列号__________,其标题为“COMMUNICATION HUB AND STORAGEDEVICE FOR STORING PARAMETERS AND STATUS OF A SURGICAL DEVICE TO BE SHAREDWITH CLOUD BASED ANALYTICS SYSTEMS”;代理人案卷号为END8500USNP1/170767-1;
·美国专利申请序列号__________,其标题为“SELF DESCRIBING DATA PACKETSGENERATED AT AN ISSUING INSTRUMENT”;代理人案卷号为END8500USNP2/170767-2;
·美国专利申请序列号__________,其标题为“DATA PAIRING TO INTERCONNECTA DEVICE MEASURED PARAMETER WITH AN OUTCOME”;代理人案卷号为END8500USNP3/170767-3;
·美国专利申请序列号__________,其标题为“SURGICAL HUB SITUATIONALAWARENESS”;代理人案卷号为END8501USNP/170768;
·美国专利申请序列号__________,其标题为“SURGICAL SYSTEM DISTRIBUTEDPROCESSING”;代理人案卷号为END8501USNP1/170768-1;
·美国专利申请序列号__________,其标题为“AGGREGATION AND REPORTING OFSURGICAL HUB DATA”;代理人案卷号为END8501USNP2/170768-2;
·美国专利申请序列号__________,其标题为“SURGICAL HUB SPATIALAWARENESS TO DETERMINE DEVICES IN OPERATING THEATER”;代理人案卷号为END8502USNP/170769;
·美国专利申请序列号__________,其标题为“DISPLAY OF ALIGNMENT OFSTAPLE CARTRIDGE TO PRIOR LINEAR STAPLE LINE”;代理人案卷号为END8502USNP1/170769-1;
·美国专利申请序列号__________,其标题为“STERILE FIELD INTERACTIVECONTROL DISPLAYS”;代理人案卷号为END8502USNP2/170769-2;
·美国专利申请序列号__________,其标题为“COMPUTER IMPLEMENTEDINTERACTIVE SURGICAL SYSTEMS”;代理人案卷号为END8503USNP/170770;
·美国专利申请序列号___________,其标题为“USE OF LASER LIGHT AND RED-GREEN-BLUE COLORATION TO DETERMINE PROPERTIES OF BACK SCATTERED LIGHT”;代理人案卷号END8504USNP/170771;以及
·美国专利申请序列号__________,其标题为“DUAL CMOS ARRAY IMAGING”;代理人案卷号为END8504USNP2/170771-2。
本申请的申请人拥有于2018年3月29日提交的以下美国专利申请,这些专利申请中的每个以引用方式全文并入本文:
·美国专利申请序列号__________,其标题为“ADAPTIVE CONTROL PROGRAMUPDATES FOR SURGICAL DEVICES”;代理人案卷号为END8506USNP/170773;
·美国专利申请序列号__________,其标题为“ADAPTIVE CONTROL PROGRAMUPDATES FOR SURGICAL HUBS”;代理人案卷号为END8506USNP1/170773-1;
·美国专利申请序列号__________,其标题为“CLOUD-BASED MEDICAL ANALYTICSFOR CUSTOMIZATION AND RECOMMENDATIONS TO A USER”;代理人案卷号为END8507USNP/170774;
·美国专利申请序列号__________,其标题为“CLOUD-BASED MEDICAL ANALYTICSFOR LINKING OF LOCAL USAGE TRENDS WITH THE RESOURCE ACQUISITION BEHAVIORS OFLARGER DATA SET”;代理人案卷号为END8507USNP1/170774-1;
·美国专利申请序列号__________,其标题为“CLOUD-BASED MEDICAL ANALYTICSFOR MEDICAL FACILITY SEGMENTED INDIVIDUALIZATION OF INSTRUMENT FUNCTION”;代理人案卷号为END8507USNP2/170774-2;
·美国专利申请序列号__________,其标题为“CLOUD-BASED MEDICAL ANALYTICSFOR SECURITY AND AUTHENTICATION TRENDS AND REACTIVE MEASURES”;代理人案卷号为END8508USNP/170775;
·美国专利申请序列号__________,其标题为“DATA HANDLING ANDPRIORITIZATION IN A CLOUD ANALYTICS NETWORK”;代理人案卷号为END8509USNP/170776;以及
·美国专利申请序列号__________,其标题为“CLOUD INTERFACE FOR COUPLEDSURGICAL DEVICES”;代理人案卷号为END8510USNP/170777。
本申请的申请人拥有于2018年3月29日提交的以下美国专利申请,这些专利申请中的每个以引用方式全文并入本文:
·美国专利申请序列号__________,其标题为“DRIVE ARRANGEMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8511USNP/170778;
·美国专利申请序列号__________,其标题为“COMMUNICATION ARRANGEMENTSFOR ROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8511USNP1/170778-1;
·美国专利申请序列号__________,其标题为“CONTROLS FOR ROBOT-ASSISTEDSURGICAL PLATFORMS”;代理人案卷号为END8511USNP2/170778-2;
·美国专利申请序列号__________,其标题为“AUTOMATIC TOOL ADJUSTMENTSFOR ROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8512USNP/170779;
·美国专利申请序列号__________,其标题为“CONTROLLERS FOR ROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8512USNP1/170779-1;
·美国专利申请序列号__________,其标题为“COOPERATIVE SURGICAL ACTIONSFOR ROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8512USNP2/170779-2;
·美国专利申请序列号__________,其标题为“DISPLAY ARRANGEMENTS FORROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8512USNP3/170779-3;以及
·美国专利申请序列号__________,其标题为“SENSING ARRANGEMENTS FORROBOT-ASSISTED SURGICAL PLATFORMS”;代理人案卷号为END8513USNP/170780。
在详细说明外科装置和发生器的各个方面之前,应该指出的是,示例性示例的应用或使用并不局限于附图和具体实施方式中所示出的部件的配置和布置方式的细节。示例性示例可以单独实施,或与其它方面、变更形式和修改形式结合在一起实施,并可以通过多种方式实践或执行。此外,除非另外指明,否则本文所用的术语和表达是为了方便读者而对示例性实施例进行描述而所选的,并非为了限制性的目的。而且,应当理解,以下描述的方面中的一个或多个、方面和/或示例的表达可以与以下描述的其它方面、方面和/或示例的表达中的任何一个或多个组合。
参见图1,计算机实现的交互式外科系统100包括一个或多个外科系统102和基于云的系统(例如,可包括耦接到存储装置105的远程服务器113的云104)。每个外科系统102包括与可包括远程服务器113的云104通信的至少一个外科集线器106。在一个示例中,如图1中所示,外科系统102包括可视化系统108、机器人系统110和手持式智能外科器械112,其被配置为彼此通信并且/或者与集线器106通信。在一些方面,外科系统102可包括M数量的集线器106、N数量的可视化系统108、O数量的机器人系统110和P数量的手持式智能外科器械112,其中M、N、O和P为大于或等于一的整数。
图3示出了用于对平躺在外科手术室116中的手术台114上的患者执行外科规程的外科系统102的示例。机器人系统110在外科规程中用作外科系统102的一部分。机器人系统110包括外科医生的控制台118、患者侧推车120(外科机器人)和外科机器人集线器122。当外科医生通过外科医生的控制台120观察外科部位时,患者侧推车117可通过患者体内的微创切口操纵至少一个可移除地耦接的外科工具118。外科部位的图像可通过医疗成像装置124获得,该医疗成像装置可由患者侧推车120操纵以定向成像装置124。机器人集线器122可用于处理外科部位的图像,以随后通过外科医生的控制台118显示给外科医生。
其它类型的机器人系统可容易地适于与外科系统102一起使用。适用于本公开的机器人系统和外科工具的各种示例在2017年12月28日提交的标题为“ROBOT ASSISTEDSURGICAL PLATFORM”的美国临时专利申请序列号62/611,339中有所描述,该专利的公开内容全文以引用方式并入本文。
由云104执行并且适用于本公开的基于云的分析的各种示例描述于2017年12月28日提交的标题为“CLOUD-BASED MEDICAL ANALYTICS”的美国临时专利申请序列号62/611,340中,其公开内容全文以引用方式并入本文。
在各种方面,成像装置124包括至少一个图像传感器和一个或多个光学部件。合适的图像传感器包括但不限于电荷耦合器件(CCD)传感器和互补金属氧化物半导体(CMOS)传感器。
成像装置124的光学部件可包括一个或多个照射源和/或一个或多个透镜。一个或多个照射源可被引导以照射外科场地的多部分。一个或多个图像传感器可接收从外科场地反射或折射的光,包括从组织和/或外科器械反射或折射的光。
一个或多个照射源可被配置为辐射可见光谱中的电磁能以及不可见光谱。可见光谱(有时被称为光学光谱或发光光谱)是电磁光谱中对人眼可见(即,可被其检测)的那部分,并且可被称为可见光或简单光。典型的人眼将对空气中约380nm至约750nm的波长作出响应。
不可见光谱(即,非发光光谱)是电磁光谱的位于可见光谱之下和之上的部分(即,低于约380nm且高于约750nm的波长)。人眼不可检测到不可见光谱。大于约750nm的波长长于红色可见光谱,并且它们变为不可见的红外(IR)、微波和无线电电磁辐射。小于约380nm的波长比紫色光谱短,并且它们变为不可见的紫外、x射线和γ射线电磁辐射。
在各种方面,成像装置124被配置为用于微创规程中。适用于本公开的成像装置的示例包括但不限于关节镜、血管镜、支气管镜、胆道镜、结肠镜、细胞检查镜、十二指镜、肠窥镜、食道-十二指肠镜(胃镜)、内窥镜、喉镜、鼻咽-肾内窥镜、乙状结肠镜、胸腔镜和子宫内窥镜。
在一个方面,成像装置采用多光谱监测来辨别形貌和底层结构。多光谱图像是捕获跨电磁波谱的特定波长范围内的图像数据的图像。可通过滤波器或通过使用对特定波长敏感的器械来分离波长,特定波长包括来自可见光范围之外的频率的光,例如IR和紫外。光谱成像可允许提取人眼未能用其红色,绿色和蓝色的受体捕获的附加信息。多光谱成像的使用在2017年12月28日提交的标题为“INTERACTIVE SURGICAL PLATFORM”的美国临时专利申请序列号62/611,341的标题“Advanced Imaging Acquisition Module”下更详细地描述,该专利的公开内容全文以引用方式并入本文。在完成外科任务以对处理过的组织执行一个或多个先前所述测试之后,多光谱监测可以是用于重新定位外科场地的有用工具。
不言自明的是,在任何外科期间都需要对手术室和外科设备进行严格消毒。在“外科室”(即,手术室或治疗室)中所需的严格的卫生和消毒条件需要所有医疗装置和设备的最高可能的无菌性。该灭菌过程的一部分是需要对接触患者或穿透无菌场的任何物质进行灭菌,包括成像装置124及其附接件和部件。应当理解,无菌场可被认为是被认为不含微生物的指定区域,诸如在托盘内或无菌毛巾内,或者无菌场可被认为是已准备用于外科规程的患者周围的区域。无菌场可包括被恰当地穿着的擦洗的团队构件,以及该区域中的所有家具和固定件。
在各种方面,可视化系统108包括一个或多个成像传感器、一个或多个图像处理单元、一个或多个存储阵列、以及一个或多个显示器,其相对于无菌场进行策略布置,如图2中所示。在一个方面,可视化系统108包括用于HL7、PACS和EMR的界面。可视化系统108的各种部件在2017年12月28日提交的标题为“INTERACTIVE SURGICAL PLATFORM”的美国临时专利申请序列号62/611,341的标题“Advanced Imaging Acquisition Module”下有所描述,该专利申请的公开内容全文以引用方式并入本文。
如图2中所示,主显示器119被定位在无菌场中,以对在手术台114处的操作者可见。此外,可视化塔111被定位在无菌场之外。可视化塔111包括彼此背离的第一非无菌显示器107和第二非无菌显示器109。由集线器106引导的可视化系统108被配置为利用显示器107、109和119来将信息流协调到无菌场内侧和外侧的操作者。例如,集线器106可使成像系统108在非无菌显示器107或109上显示由成像装置124记录的外科部位的快照,同时保持外科部位在主显示器119上的实时馈送。非无菌显示器107或109上的快照可允许非无菌操作者例如执行与外科手术相关的诊断步骤。
在一个方面,集线器106还被配置为将由非无菌操作者在可视化塔111处输入的诊断输入或反馈路由至无菌场内的主显示器119,其中可由操作台上的无菌操作员查看。在一个示例中,输入可以是对显示在非无菌显示器107或109上的快照的修改形式,该非无菌显示器可通过集线器106路由到主显示器119。
参见图2,外科器械112作为外科系统102的一部分在外科规程中使用。集线器106还被配置为协调流向外科器械112的显示器的信息流。例如,在2017年12月28日提交的标题为“INTERACTIVE SURGICAL PLATFORM”的美国临时专利申请序列号62/611,341,其公开内容全文以引用方式并入本文。由非无菌操作者在可视化塔111处输入的诊断输入或反馈可由集线器106路由至无菌场内的外科器械显示器115,其中外科器械112的操作者可观察到该输入或反馈。适用于外科系统102的示例性外科器械描述于2017年12月28日提交的标题为“INTERACTIVE SURGICAL PLATFORM”的美国临时专利申请序列号62/611,341的标题“Surgical Instrument Hardware”下,该专利的公开内容以引用方式全文并入本文。
现在参见图3,集线器106被描绘为与可视化系统108、机器人系统110和手持式智能外科器械112通信。集线器106包括集线器显示器135、成像模块138、发生器模块140、通信模块130、处理器模块132和存储阵列134。在某些方面,如图3中所示,集线器106还包括排烟模块126和/或抽吸/冲洗模块128。
在外科规程期间,用于密封和/或切割的对组织的能量施加通常与排烟、抽吸过量流体和/或冲洗组织相关。来自不同来源的流体管线、功率管线和/或数据管线通常在外科规程期间缠结。在外科规程期间解决该问题可丢失有价值的时间。断开管线可需要将管线与其相应的模块断开连接,这可需要重置模块。集线器模块化壳体136提供用于管理功率管线、数据管线和流体管线的统一环境,这降低了此类管线之间缠结的频率。
本公开的各方面提供了用于外科规程的外科集线器,该外科规程涉及将能量施加到外科部位处的组织。外科集线器包括集线器壳体和可滑动地容纳在集线器壳体的对接底座中的组合发生器模块。对接底座包括数据触点和功率触点。组合发生器模块包括座置在单个单元中的超声能量发生器部件、双极RF能量发生器部件和单极RF能量发生器部件中的两个或更多个。在一个方面,组合发生器模块还包括排烟部件,用于将组合发生器模块连接到外科器械的至少一根能量递送缆线、被配置为排出通过向组织施加治疗能量而产生的烟雾、流体和/或颗粒的至少一个排烟部件、以及从远程外科部位延伸至排烟部件的流体管线。
在一个方面,流体管线是第一流体管线,并且第二流体管线从远程外科部位延伸至可滑动地容纳在集线器壳体中的抽吸和冲洗模块。在一个方面,集线器壳体包括流体接口。
某些外科规程可需要将多于一种能量类型施加到组织。一种能量类型可更有利于切割组织,而另一种不同的能量类型可更有利于密封组织。例如,双极发生器可用于密封组织,而超声发生器可用于切割密封的组织。本公开的各方面提供了一种解决方案,其中集线器模块化壳体136被配置为容纳不同的发生器,并且有利于它们之间的交互式通信。集线器模块化壳体136的优点之一是能够快速地移除和/或更换各种模块。
本公开的方面提供了在涉及将能量施加到组织的外科规程中使用的模块化外科壳体。模块化外科壳体包括第一能量发生器模块和第一对接底座,该第一能量发生器模块被配置为生成用于施加到组织的第一能量,该第一对接底座包括第一对接端口,该第一对接端口包括第一数据和功率触点,其中第一能量发生器模块可滑动地移动成与该功率和数据触点电接合,并且其中第一能量发生器模块可滑动地移动成不与第一功率和数据触点电接合。
对上文进行进一步描述,模块化外科壳体还包括第二能量发生器模块,该第二能量发生器模块被配置为生成不同于第一能量的第二能量以用于施加到组织,和第二对接底座,该第二对接底座包括第二对接端口,该第二对接端口包括第二数据和功率触点,其中第二能量发生器模块可滑动地移动成与功率和数据触点电接合,并且其中第二能量发生器可滑动地移动出于第二功率和数据触点的电接触。
此外,模块化外科壳体还包括在第一对接端口和第二对接端口之间的通信总线,其被配置为有利于第一能量发生器模块和第二能量发生器模块之间的通信。
参见图3-7,本公开的各方面被呈现为集线器模块化壳体136,其允许发生器模块140、排烟模块126和抽吸/冲洗模块128的模块化集成。集线器模块化壳体136还有利于模块140、126、128之间的交互式通信。如图5中所示,发生器模块140可为具有集成的单极部件、双极部件和超声部件的发生器模块,该部件被支撑在可滑动地插入到集线器模块化壳体136中的单个外壳单元139中。如图5中所示,发生器模块140可被配置为连接到单极装置146、双极装置147和超声装置148。另选地,发生器模块140可包括通过集线器模块化壳体136进行交互的一系列单极发生器模块、双极发生器模块和/或超声发生器模块。集线器模块化壳体136可被配置为有利于多个发生器的插入和对接到集线器模块化壳体136中的发生器之间的交互通信,使得发生器将充当单个发生器。
在一个方面,集线器模块化壳体136包括具有外部和无线通信接头的模块化功率和通信底板149,以实现模块140、126、128的可移除附接件以及它们之间的交互通信。
在一个方面,集线器模块化壳体136包括对接底座或抽屉151(本文也称为抽屉),其被配置为可滑动地容纳模块140、126、128。图4示出了可滑动地容纳在外科集线器壳体136的对接底座151中的外科集线器壳体136和组合发生器模块145的局部透视图。在组合发生器模块145的背面上具有功率和数据触点的对接端口152被配置为当组合发生器模块145滑动到集线器模块壳体136的对应的对接底座151内的适当位置时,将对应的对接端口150与集线器模块化壳体136的对应对接底座151的功率和数据触点接合。在一个方面,组合发生器模块145包括一起集成到单个外壳单元139中的双极、超声和单极模块以及排烟模块,如图5中所示。
在各种方面,排烟模块126包括流体管线154,该流体管线154将捕集/收集的烟雾和/或流体从外科部位传送到例如排烟模块126。源自排烟模块126的真空抽吸可将烟雾吸入外科部位处的公用导管的开口中。耦接到流体管线的公用导管可以是端接在排烟模块126处的柔性管的形式。公用导管和流体管线限定朝向容纳在集线器壳体136中的排烟模块126延伸的流体路径。
在各种方面,抽吸/冲洗模块128耦接到包括吸出流体管线和抽吸流体管线的外科工具。在一个示例中,吸出流体管线和抽吸流体管线为从外科部位朝向抽吸/冲洗模块128延伸的柔性管的形式。一个或多个驱动系统可被配置为冲洗到外科部位的流体和从外科部位抽吸流体。
在一个方面,外科工具包括轴,该轴具有在其远侧端部处的端部执行器以及与端部执行器、吸出管和冲洗管相关联的至少一种能量处理。吸出管可在其远侧端部处具有入口,并且吸出管延伸穿过轴。类似地,吸出管可延伸穿过轴并且可具有邻近能量递送工具的入口。能量递送工具被配置为将超声能量和/或RF能量递送至外科部位,并且通过初始延伸穿过轴的缆线耦接到发生器模块140。
冲洗管可与流体源流体连通,并且吸出管可与真空源流体连通。流体源和/或真空源可座置在抽吸/冲洗模块128中。在一个示例中,流体源和/或真空源可独立于抽吸/冲洗模块128座置在集线器壳体136中。在此类示例中,流体接口能够将抽吸/冲洗模块128连接到流体源和/或真空源。
在一个方面,集线器模块化壳体136上的模块140、126、128和/或其对应的对接底座可包括对准特征件,该对准特征件被配置为将模块的对接端口对准成与其在集线器模块化壳体136的对接底座中的对应端口接合。例如,如图4中所示,组合发生器模块145包括侧支架155,侧支架155被配置为与集线器模块化壳体136的对应的对接底座151的对应支架156可滑动地接合。支架配合以引导组合发生器模块145的对接端口触点与集线器模块化壳体136的对接端口触点电接合。
在一些方面,集线器模块化壳体136的抽屉151为相同的或大体上相同的大小,并且模块的大小被调节为容纳在抽屉151中。例如,侧支架155和/或156可根据模块的大小而更大或更小。在其它方面,抽屉151的大小不同,并且各自被设计成容纳特定模块。
此外,可对特定模块的触点进行键控以与特定抽屉的触点接合,以避免将模块插入到具有不匹配触点的抽屉中。
如图4中所示,一个抽屉151的对接端口150可通过通信链路157耦接到另一个抽屉151的对接端口150,以有利于座置在集线器模块化壳体136中的模块之间的交互式通信。另选地或附加地,集线器模块化壳体136的对接端口150可有利于座置在集线器模块化壳体136中的模块之间的无线交互通信。可采用任何合适的无线通信,诸如例如Air Titan-Bluetooth。
图6示出了用于横向模块化外壳160的多个横向对接端口的单个功率总线附接件,该横向模块化外壳160被配置为容纳外科集线器206的多个模块。横向模块化外壳160被配置为横向容纳和互连模块161。模块161可滑动地插入到横向模块化外壳160的对接底座162中,该横向模块化外壳160包括用于互连模块161的底板。如图6中所示,模块161横向布置在横向模块化外壳160中。另选地,模块161可竖直地布置在横向模块化外壳中。
图7示出了被配置为容纳外科集线器106的多个模块165的竖直模块化外壳164。模块165可滑动地插入到竖直模块化外壳164的对接底座或抽屉167中,该竖直模块化外壳164包括用于互连模块165的底板。尽管竖直模块化外壳164的抽屉167竖直布置,但在某些情况下,竖直模块化外壳164可包括横向布置的抽屉。此外,模块165可通过竖直模块化外壳164的对接端口彼此交互。在图7的示例中,提供了用于显示与模块165的操作相关的数据的显示器177。此外,竖直模块化外壳164包括主模块178,该主模块座置可滑动地容纳在主模块178中的多个子模块。
在各种方面,成像模块138包括集成视频处理器和模块化光源,并且适于与各种成像装置一起使用。在一个方面,成像装置由可装配有光源模块和相机模块的模块化外壳构成。外壳可为一次性外壳。在至少一个示例中,一次性外壳可移除地耦接到可重复使用的控制器、光源模块和相机模块。光源模块和/或相机模块可根据外科规程的类型选择性地选择。在一个方面,相机模块包括CCD传感器。在另一方面,相机模块包括CMOS传感器。在另一方面,相机模块被配置用于扫描波束成像。同样,光源模块可被配置为递送白光或不同的光,这取决于外科规程。
在外科规程期间,从外科场地移除外科装置并用包括不同相机或不同光源的另一外科装置替换外科装置可为低效的。暂时失去对外科场地的视线可导致不期望的后果。本公开的模块成像装置被配置为允许在外科规程期间中流替换光源模块或相机模块,而不必从外科场地移除成像装置。
在一个方面,成像装置包括包括多个通道的管状外壳。第一通道被配置为可滑动地容纳相机模块,该相机模块可被配置为与第一通道搭扣配合接合。第二通道被配置为可滑动地容纳光源模块,该光源模块可被配置为与第二通道搭扣配合接合。在另一个示例中,相机模块和/或光源模块可在其相应通道内旋转到最终位置。可采用螺纹接合代替搭扣配合接合。
在各种示例中,多个成像装置被放置在外科场地中的不同位置以提供多个视图。成像模块138可被配置为在成像装置之间切换以提供最佳视图。在各种方面,成像模块138可被配置为集成来自不同成像装置的图像。
适用于本公开的各种图像处理器和成像装置描述于2011年8月9日公布的标题为“COMBINED SBI AND CONVENTIONAL IMAGE PROCESSOR”的美国专利7,995,045中,该专利以引用方式全文并入本文。此外,2011年7月19日公布的标题为“SBI MOTION ARTIFACTREMOVAL APPARATUS AND METHOD”的美国专利7,982,776描述了用于从图像数据中去除运动伪影的各种系统,该专利以引用方式全文并入本文。此类系统可与成像模块138集成。此外,2011年12月15日公布的标题为“CONTROLLABLE MAGNETIC SOURCE TO FIXTUREINTRACORPOREAL APPARATUS”的美国专利申请公布2011/0306840和2014年8月28日公布的标题为“SYSTEM FOR PERFORMING A MINIMALLY INVASIVE SURGICAL PROCEDURE”的美国专利申请公布2014/0243597,以上专利中的每个全文以引用方式并入本文。
图8示出了包括模块化通信集线器203的外科数据网络201,该模块化通信集线器203被配置为将位于医疗设施的一个或多个手术室中的模块化装置或专门配备用于外科操作的医疗设施中的任何房间连接到基于云的系统(例如,可包括耦接到存储装置205的远程服务器213的云204)。在一个方面,模块化通信集线器203包括与网络路由器通信的网络集线器207和/或网络交换器209。模块化通信集线器203还可耦接到本地计算机系统210以提供本地计算机处理和数据操纵。外科数据网络201可被配置为无源的、智能的或交换的。无源外科数据网络充当数据的管道,从而使其能够从一个装置(或区段)转移到另一个装置(或区段)以及云计算资源。智能外科数据网络包括附加特征,以使得能够监测穿过外科数据网络的流量并配置网络集线器207或网络交换器209中的每个端口。智能外科数据网络可被称为可管理的集线器或交换器。交换集线器读取每个包的目标地址,并且然后将包转发到正确的端口。
位于手术室中的模块化装置1a-1n可耦接到模块化通信集线器203。网络集线器207和/或网络交换器209可耦接到网络路由器211以将装置1a-1n连接至云204或本地计算机系统210。与装置1a-1n相关联的数据可经由路由器传输到基于云的计算机,用于远程数据处理和操纵。与装置1a-1n相关联的数据也可被传输至本地计算机系统210以用于本地数据处理和操纵。位于相同手术室中的模块化装置2a-2m也可耦接到网络交换器209。网络交换器209可耦接到网络集线器207和/或网络路由器211以将装置2a-2m连接至云204。与装置2a-2n相关联的数据可经由网络路由器211传输到云204以用于数据处理和操纵。与装置2a-2m相关联的数据也可被传输至本地计算机系统210以用于本地数据处理和操纵。
应当理解,可通过将多个网络集线器207和/或多个网络交换器209与多个网络路由器211互连来扩展外科数据网络201。模块化通信集线器203可被包含在模块化控制塔中,该模块化控制塔被配置为容纳多个装置1a-1n/2a-2m。本地计算机系统210也可包含在模块化控制塔中。模块化通信集线器203连接到显示器212以显示例如在外科规程期间由装置1a-1n/2a-2m中的一些获得的图像。在各种方面,装置1a-1n/2a-2m可包括例如各种模块,诸如耦接到内窥镜的成像模块138、耦接到基于能量的外科装置的发生器模块140、排烟模块126、抽吸/冲洗模块128、通信模块130、处理器模块132、存储阵列134、连接到显示器的外科装置、和/或可连接到外科数据网络201的模块化通信集线器203的其它模块化装置中的非接触传感器模块。
在一个方面,外科数据网络201可包括将装置1a-1n/2a-2m连接至云的网络集线器、网络交换器和网络路由器的组合。耦接到网络集线器或网络交换器的装置1a-1n/2a-2m中的任何一个或全部可实时收集数据并将数据传输到云计算机中以进行数据处理和操纵。应当理解,云计算依赖于共享计算资源,而不是使用本地服务器或个人装置来处理软件应用程序。可使用“云”一词作为“互联网”的隐喻,尽管该术语不受此限制。因此,本文可使用术语“云计算”来指“基于互联网的计算的类型”,其中将不同的服务(诸如服务器、存储器和应用程序)递送至位于外科室(例如,固定、移动、临时或现场手术室或空间)中的模块化通信集线器203和/或计算机系统210以及通过互联网连接至模块化通信集线器203和/或计算机系统210的装置。云基础设施可由云服务提供方维护。在这种情况下,云服务提供方可以是协调位于一个或多个手术室中的装置1a-1n/2a-2m的使用和控制的实体。云计算服务可基于由智能外科器械、机器人和位于手术室中的其它计算机化装置所收集的数据来执行大量计算。集线器硬件使多个装置或连接能够连接到与云计算资源和存储器通信的计算机。
对由装置1a-1n/2a-2m所收集的数据应用云计算机数据处理技术,外科数据网络提供改善的外科结果,降低的成本和改善的患者满意度。可采用装置1a-1n/2a-2m中的至少一些来观察组织状态以评估在组织密封和切割规程之后密封的组织的渗漏或灌注。可采用装置1a-1n/2a-2m中的至少一些来识别病理学,诸如疾病的影响,使用基于云的计算检查包括用于诊断目的的身体组织样本的图像的数据。这包括组织和表型的定位和边缘确认。可采用装置1a-1n/2a-2m中的至少一些使用与成像装置和技术(诸如重叠由多个成像装置捕获的图像)集成的各种传感器来识别身体的解剖结构。由装置1a-1n/2a-2m收集的数据(包括图像数据)可被传输到云204或本地计算机系统210或两者以用于数据处理和操纵,包括图像处理和操纵。可分析数据以通过确定是否可继续进行进一步治疗(诸如内窥镜式干预、新兴技术、靶向辐射、靶向干预和精确机器人对组织特异性位点和条件的应用来改善外科规程结果。此类数据分析可进一步采用结果分析处理,并且使用标准化方法可提供有益反馈以确认外科治疗和外科医生的行为,或建议修改外科治疗和外科医生的行为。
在一个具体实施中,手术室装置1a-1n可通过有线信道或无线信道连接至模块化通信集线器203,这取决于装置1a-1n至网络集线器的配置。在一个方面,网络集线器207可被实现为在开放式系统互连(OSI)模型的物理层上工作的本地网络广播装置。该网络集线器提供与位于同一手术室网络中的装置1a-1n的连接。网络集线器207以包的形式收集数据,并以半双工模式将其发送至路由器。网络集线器207不存储用于传输装置数据的任何媒体访问控制/互联网协议(MAC/IP)。装置1a-1n中的仅一个可一次通过网络集线器207发送数据。网络集线器207没有关于在何处发送信息并在每个连接上广播所有网络数据以及通过云204向远程服务器213(图9)广播所有网络数据的路由表或智能。网络集线器207可以检测基本网络错误诸如冲突,但将所有信息广播到多个端口可带来安全风险并导致瓶颈。
在另一个具体实施中,手术室装置2a-2m可通过有线信道或无线信道连接到网络交换器209。网络交换器209在OSI模型的数据链路层中工作。网络交换器209是用于将位于相同手术室中的装置2a-2m连接到网络的多点广播装置。网络交换器209以帧的形式向网络路由器211发送数据并且以全双工模式工作。多个装置2a-2m可通过网络交换器209同时发送数据。网络交换器209存储并使用装置2a-2m的MAC地址来传输数据。
网络集线器207和/或网络交换器209耦接到网络路由器211以连接到云204。网络路由器211在OSI模型的网络层中工作。网络路由器211创建用于将从网络集线器207和/或网络交换器211接收的数据包传输至基于云的计算机资源的路由,以进一步处理和操纵由装置1a-1n/2a-2m中的任一者或所有收集的数据。可采用网络路由器211来连接位于不同位置的两个或更多个不同的网络,诸如例如同一医疗设施的不同手术室或位于不同医疗设施的不同手术室的不同网络。网络路由器211以包的形式向云204发送数据并且以全双工模式工作。多个装置可以同时发送数据。网络路由器211使用IP地址来传输数据。
在一个示例中,网络集线器207可被实现为USB集线器,其允许多个USB装置连接到主机。USB集线器可以将单个USB端口扩展到多个层级,以便有更多端口可用于将装置连接到主机系统计算机。网络集线器207可包括用于通过有线信道或无线信道接收信息的有线或无线能力。在一个方面,无线USB短距离、高带宽无线无线电通信协议可用于装置1a-1n和位于手术室中的装置2a-2m之间的通信。
在其它示例中,手术室装置1a-1n/2a-2m可经由蓝牙无线技术标准与模块化通信集线器203通信,以用于在短距离(使用ISM频带中的2.4至2.485GHz的短波长UHF无线电波)从固定装置和移动装置交换数据以及构建个人局域网(PAN)。在其它方面,手术室装置1a-1n/2a-2m可经由多种无线或有线通信标准或协议与模块化通信集线器203通信,包括但不限于Wi-Fi(IEEE 802.11系列)、WiMAX(IEEE 802.16系列)、IEEE 802.20、长期演进(LTE)和Ev-DO、HSPA+、HSDPA+、HSUPA+、EDGE、GSM、GPRS、CDMA、TDMA、DECT、及其以太网衍生物、以及指定为3G、4G、5G和以上的任何其它无线和有线协议。计算模块可包括多个通信模块。例如,第一通信模块可专用于较短距离的无线通信诸如Wi-Fi和蓝牙,并且第二通信模块可专用于较长距离的无线通信,诸如GPS、EDGE、GPRS、CDMA、WiMAX、LTE、Ev-DO等。
模块化通信集线器203可用作手术室装置1a-1n/2a-2m中的一者或全部的中心连接,并且处理被称为帧的数据类型。帧携带由装置1a-1n/2a-2m生成的数据。当模块化通信集线器203接收到帧时,其被放大并传输至网络路由器211,该网络路由器211通过使用如本文所述的多个无线或有线通信标准或协议将数据传输到云计算资源。
模块化通信集线器203可用作独立装置或连接到兼容的网络集线器和网络交换器以形成更大的网络。模块化通信集线器203通常易于安装、配置和维护,使得其成为对手术室装置1a-1n/2a-2m进行联网的良好选项。
图9示出了计算机实现的交互式外科系统200。计算机实现的交互式外科系统200在许多方面类似于计算机实现的交互式外科系统100。例如,计算机实现的交互式外科系统200包括在许多方面类似于外科系统102的一个或多个外科系统202。每个外科系统202包括与可包括远程服务器213的云204通信的至少一个外科集线器206。在一个方面,计算机实现的交互式外科系统200包括模块化控制塔236,该模块化控制塔236连接到多个手术室装置,诸如例如智能外科器械、机器人和位于手术室中的其它计算机化装置。如图10中所示,模块化控制塔236包括耦接到计算机系统210的模块化通信集线器203。如图9的示例中所示,模块化控制塔236耦接到耦接到内窥镜239的成像模块238、耦接到能量装置241的发生器模块240、排烟器模块226、抽吸/冲洗模块228、通信模块230、处理器模块232、存储阵列234、任选地耦接到显示器237的智能装置/器械235、和非接触传感器模块242。手术室装置经由模块化控制塔236耦接到云计算资源和数据存储。机器人集线器222也可连接到模块化控制塔236和云计算资源。装置/器械235、可视化系统208等等可经由有线或无线通信标准或协议耦接到模块化控制塔236,如本文所述。模块化控制塔236可耦接到集线器显示器215(例如,监测器、屏幕)以显示和叠加从成像模块、装置/器械显示器和/或其它可视化系统208接收的图像。集线器显示器还可结合图像和叠加图像来显示从连接到模块化控制塔的装置接收的数据。
图10示出了包括耦接到模块化控制塔236的多个模块的外科集线器206。模块化控制塔236包括模块化通信集线器203(例如,网络连接性装置)和计算机系统210,以提供例如本地处理、可视化和成像。如图10中所示,模块化通信集线器203可以分层配置连接以扩展可连接到模块化通信集线器203的模块(例如,装置)的数量,并将与模块相关联的数据传输至计算机系统210、云计算资源或两者。如图10中所示,模块化通信集线器203中的网络集线器/交换器中的每个包括三个下游端口和一个上游端口。上游网络集线器/交换器连接至处理器以提供与云计算资源和本地显示器217的通信连接。与云204的通信可通过有线或无线通信信道进行。
外科集线器206采用非接触传感器模块242来测量手术室的尺寸,并且使用超声或激光型非接触测量装置来生成外科室的标测图。基于超声的非接触传感器模块通过传输一阵超声波并在其从手术室的围墙弹回时接收回波来扫描手术室,如在2017年12月28日提交的标题为“INTERACTIVE SURGICAL PLATFORM”的美国临时专利申请序列号62/611,341中的标题“Surgical Hub Spatial Awareness Within an Operating Room”下所述,该专利的公开内容全文以引用方式并入本文,其中传感器模块被配置为确定手术室的大小并调节蓝牙配对距离限制。基于激光的非接触传感器模块通过传输激光脉冲、接收从手术室的围墙弹回的激光脉冲,以及将传输脉冲的相位与所接收的脉冲进行比较来扫描手术室,以确定手术室的尺寸并调节蓝牙配对距离限制。
计算机系统210包括处理器244和网络接口245。处理器244经由系统总线耦接到通信模块247、存储装置248、存储器249、非易失性存储器250和输入/输出接口251。系统总线可为若干类型的总线结构中的任一者,该总线结构包括存储器总线或存储器控制器、外围总线或外部总线、和/或使用任何各种可用总线架构的本地总线,包括但不限于9位总线、工业标准架构(ISA)、微型Charmel架构(MSA)、扩展ISA(EISA)、智能驱动电子器件(IDE)、VESA本地总线(VLB)、外围部件互连(PCI)、USB、高级图形端口(AGP)、个人计算机存储卡国际协会总线(PCMCIA)、小型计算机系统接口(SCSI)或任何其它外围总线。
控制器244可为任何单核或多核处理器,诸如由Texas Instruments提供的商品名为ARM Cortex的那些处理器。在一个方面,处理器可为购自例如Texas Instruments的LM4F230H5QR ARM Cortex-M4F处理器核心,其包括256KB的单循环闪存或其它非易失性存储器(最多至40MHZ)的片上存储器、用于改善40MHz以上的性能的预取缓冲器、32KB单循环序列随机存取存储器(SRAM)、装载有软件的内部只读存储器(ROM)、2KB电可擦除可编程只读存储器(EEPROM)、和/或一个或多个脉宽调制(PWM)模块、一个或多个正交编码器输入(QEI)模拟、具有12个模拟输入信道的一个或多个12位模数转换器(ADC),其细节可见于产品数据表。
在一个方面,处理器244可包括安全控制器,该安全控制器包括两个基于控制器的系列(诸如TMS570和RM4x),已知同样由Texas Instruments生产的商品名为Hercules ARMCortex R4。安全控制器可被配置为专门用于IEC 61508和ISO 26262安全关键应用等等,以提供先进的集成安全特征件,同时递送可定标的性能、连接性和存储器选项。
系统存储器包括易失性存储器和非易失性存储器。基本输入/输出系统(BIOS)(包含诸如在启动期间在计算机系统内的元件之间传输信息的基本例程,)存储在非易失性存储器中。例如,非易失性存储器可包括ROM、可编程ROM(PROM)、电可编程ROM(EPROM)、EEPROM或闪存。易失存储器包括充当外部高速缓存存储器的随机存取存储器(RAM)。此外,RAM可以多种形式可用,诸如SRAM、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据速率SDRAM(DDRSDRAM)增强SDRAM(ESDRAM)、同步链路DRAM(SLDRAM)和直接Rambus RAM(DRRAM)。
计算机系统210还包括可移除/不可移除的、易失性/非易失性的计算机存储介质,诸如例如磁盘存储器。磁盘存储器包括但不限于诸如装置如磁盘驱动器、软盘驱动器、磁带驱动器、Jaz驱动器、Zip驱动器、LS-60驱动器、闪存存储卡或内存条。此外,磁盘存储器可包括单独地或与其它存储介质组合的存储介质,包括但不限于光盘驱动器诸如光盘ROM装置(CD-ROM)、光盘可记录驱动器(CD-R驱动器)、光盘可重写驱动器(CD-RW驱动器)或数字通用磁盘ROM驱动器(DVD-ROM)。为了有利于磁盘存储装置与系统总线的连接,可使用可移除或非可移除接口。
应当理解,计算机系统210包括充当用户与在合适的操作环境中描述的基本计算机资源之间的中介的软件。此类软件包括操作系统。可存储在磁盘存储装置上的操作系统用于控制并分配计算机系统的资源。系统应用程序利用操作系统通过存储在系统存储器或磁盘存储装置中的程序模块和程序数据来管理资源。应当理解,本文所述的各种部件可用各种操作系统或操作系统的组合来实现。
用户通过耦接到I/O接口251的输入装置将命令或信息输入到计算机系统210中。输入装置包括但不限于指向装置,诸如鼠标、触控球、触笔、触摸板、键盘、麦克风、操纵杆、游戏垫、卫星盘、扫描仪、电视调谐器卡、数字相机、数字摄像机、幅材相机等。这些和其它输入装置经由接口端口通过系统总线连接到处理器。接口端口包括例如串口、并行端口、游戏端口和USB。输出装置使用与输入装置相同类型的端口。因此,例如,USB端口可用于向计算机系统提供输入并将信息从计算机系统输出到输出装置。提供了输出适配器来说明在其它输出装置中存在需要特殊适配器的一些输出装置(如监测器、显示器、扬声器和打印机。输出适配器以举例的方式包括但不限于提供输出装置和系统总线之间的连接装置的视频和声卡。应当指出,其它装置或装置诸如远程计算机的系统提供了输入能力和输出能力两者。
计算机系统210可使用与一个或多个远程计算机(诸如云计算机)或本地计算机的逻辑连接在联网环境中操作。远程云计算机可为个人计算机、服务器、路由器、网络PC、工作站、基于微处理器的器具、对等装置或其它公共网络节点等,并且通常包括相对于计算机系统所述的元件中的许多或全部。为简明起见,仅示出了具有远程计算机的存储器存储装置。远程计算机通过网络接口在逻辑上连接到计算机系统,并且然后经由通信连接物理连接。网络接口涵盖通信网络诸如局域网(LAN)和广域网(WAN)。LAN技术包括光纤分布式数据接口(FDDI)、铜分布式数据接口(CDDI)、以太网/IEEE802.3、令牌环/IEEE 802.5等。WAN技术包括但不限于点对点链路、电路交换网络如综合业务数字网络(ISDN)及其变体、分组交换网络和数字用户管线(DSL)。
在各种方面,图10的计算机系统210、成像模块238和/或可视化系统208、以及/或者图9至图10的处理器模块232可包括图像处理器、图像处理引擎、媒体处理器、或用于处理数字图像的任何专用数字信号处理器(DSP)。图像处理器可采用具有单个指令、多数据(SIMD)或多指令、多数据(MIMD)技术的并行计算以提高速度和效率。数字图像处理引擎可执行一系列任务。图像处理器可为具有多核处理器架构的芯片上的系统。
通信连接是指用于将网络接口连接到总线的硬件/软件。虽然示出了通信连接以便在计算机系统内进行示例性澄清,但其也可位于计算机系统210的外部。连接到网络接口所必需的硬件/软件仅出于示例性目的包括内部和外部技术,诸如调制解调器,包括常规的电话级调制解调器、电缆调制解调器和DSL调制解调器、ISDN适配器和以太网卡。
图11示出了根据本公开的一个方面的USB网络集线器300装置的一个方面的功能框图。在例示的方面,USB网络集线器装置300采用Texas Instruments的TUSB2036集成电路集线器。USB网络集线器300是根据USB2.0规范提供上游USB收发器端口302和多达三个下游USB收发器端口304、306、308的CMOS装置。上游USB收发器端口302为差分根数据端口,其包括与差分数据正(DM0)输入配对的差分数据负(DP0)输入。三个下游USB收发器端口304、306、308为差分数据端口,其中每个端口包括与差分数据负(DM1-DM3)输出配对的差分数据正(DP1-DP3)输出。
USB网络集线器300装置用数字状态机而不是微控制器来实现,并且不需要固件编程。完全兼容的USB收发器集成到用于上游USB收发器端口302和所有下游USB收发器端口304、306、308的电路中。下游USB收发器端口304、306、308通过根据附接到端口的装置的速度自动设置转换速率来支持全速度装置和低速装置两者。USB网络集线器300装置可被配置为处于总线供电模式或自供电模式,并且包括用于管理功率的集线器功率逻辑312。
USB网络集线器300装置包括串行接口引擎310(SIE)。SIE 310是USB网络集线器300硬件的前端,并处理USB规范第8章中描述的大多数协议。SIE 310通常包括多达交易级别的信令。其处理的功能可包括:包识别、事务排序、SOP、EOP、RESET和RESUME信号检测/生成、时钟/数据分离、不返回到零反转(NRZI)数据编码/解码和数位填充、CRC生成和校验(令牌和数据)、包ID(PID)生成和校验/解码、和/或串行并行/并行串行转换。310接收时钟输入314并且耦接到暂停/恢复逻辑和帧定时器316电路以及集线器中继器电路318,以通过端口逻辑电路320、322、324控制上游USB收发器端口302和下游USB收发器端口304、306、308之间的通信。SIE 310经由接口逻辑耦接到命令解码器326,以经由串行EEPROM接口330来控制来自串行EEPROM的命令。
在各种方面,USB网络集线器300可将配置在多达六个逻辑层(层级)中的127功能连接至单个计算机。此外,USB网络集线器300可使用提供通信和电力分配两者的标准化四线电缆连接到所有外装置。功率配置为总线供电模式和自供电模式。USB网络集线器300可被配置为支持四种功率管理模式:具有单独端口功率管理或成套端口功率管理的总线供电集线器,以及具有单独端口功率管理或成套端口功率管理的自供电集线器。在一个方面,使用USB电缆将USB网络集线器300、上游USB收发器端口302插入USB主机控制器中,并且将下游USB收发器端口304、306、308暴露以用于连接USB兼容装置等。
外科器械硬件
图12示出了根据本公开的一个或多个方面的外科器械或工具的控制系统470的逻辑图。系统470包括控制电路。该控制电路包括微控制器461,该微控制器包括处理器462和存储器468。例如,传感器472、474、476中的一个或多个向处理器462提供实时反馈。由马达驱动器492驱动的马达482可操作地耦接纵向可移动的位移构件以驱动I形梁刀元件。跟踪系统480被配置为确定纵向可移动的位移构件的位置。将位置信息提供给处理器462,该处理器可被编程或配置为确定纵向可移动的驱动构件的位置以及击发构件、击发杆和I形梁刀元件的位置。附加马达可设置在工具驱动器接口处,以控制I形梁击发、闭合管行进、轴旋转和关节运动。显示器473显示器械的多种操作条件并且可包括用于数据输入的触摸屏功能。显示在显示器473上的信息可叠加有经由内窥镜式成像模块获取的图像。
在一个方面,微处理器461可为任何单核或多核处理器,诸如已知的由TexasInstruments生产的商品名为ARM Cortex的那些。在一个方面,微控制器461可为购自例如Texas Instruments的LM4F230H5QR ARM Cortex-M4F处理器核心,其包括256KB的单循环闪存或其它非易失性存储器(最多至40MHZ)的片上存储器、用于改善40MHz以上的性能的预取缓冲器、32KB单循环SRAM、装载有软件的内部ROM、2KB电EEPROM、一个或多个PWM模块、一个或多个QEI模拟、具有12个模拟输入信道的一个或多个12位ADC,其细节可见于产品数据表。
在一个方面,微控制器461可包括安全控制器,该安全控制器包括两个基于控制器的系列(诸如TMS570和RM4x),已知同样由Texas Instruments生产的商品名为HerculesARM Cortex R4。安全控制器可被配置为专门用于IEC 61508和ISO 26262安全关键应用等等,以提供先进的集成安全特征件,同时递送可定标的性能、连接性和存储器选项。
可对微控制器461进行编程以执行各种功能,诸如对刀和关节运动系统的速度和位置的精确控制。在一个方面,微控制器461包括处理器462和存储器468。电动马达482可为有刷直流(DC)马达,其具有齿轮箱以及至关节运动或刀系统的机械链路。在一个方面,马达驱动器492可为可购自Allegro Microsystems,Inc的A3941。其它马达驱动器可容易地被替换以用于包括绝对定位系统的跟踪系统480中。绝对定位系统的详细描述在2017年10月19日公布的标题为“SYSTEMS AND METHODS FOR CONTROLLING A SURGICAL STAPLING ANDCUTTING INSTRUMENT”的美国专利申请公布2017/0296213中有所描述,该专利申请全文以引用方式并入本文。
微控制器461可被编程为提供对位移构件和关节运动系统的速度和位置的精确控制。微控制器461可被配置为计算微控制器461的软件中的响应。将计算的响应与实际系统的所测量响应进行比较,以获得“观察到的”响应,其用于实际反馈决定。观察到的响应为有利的调谐值,该值使所模拟响应的平滑连续性质与所测量响应均衡,这可检测对系统的外部影响。
在一个方面,马达482可由马达驱动器492控制并可被外科器械或工具的击发系统采用。在各种形式中,马达482可为具有大约25,000RPM的最大旋转速度的有刷DC驱动马达。在其他布置中,马达482可包括无刷马达、无绳马达、同步马达、步进马达或任何其他合适的电动马达。马达驱动器492可包括例如包括场效应晶体管(FET)的H桥驱动器。马达482可通过可释放地安装到柄部组件或工具外壳的功率组件来供电,以用于向外科器械或工具供应控制功率。功率组件可包括电池,该电池可以包括串联连接的、可用作功率源以为外科器械或工具提供电力的多个电池单元。在某些情况下,功率组件的电池单元可为可替换的和/或可再充电的。在至少一个示例中,电池单元可为锂离子电池,其可耦接到功率组件并且可与功率组件分离。
驱动器492可为可购自Allegro Microsystems,Inc的A3941。A3941 492为全桥控制器,其用于与针对电感负载(诸如有刷DC马达)特别设计的外部N信道功率金属氧化物半导体场效应晶体管(MOSFET)一起使用。驱动器492包括独特的电荷泵调整器,其为低至7V的电池电压提供完整的(>10V)栅极驱动并且允许A3941在低至5.5V的减小的栅极驱动下操作。可采用自举电容器来提供N信道MOSFET所需的上述电池供电电压。高边驱动装置的内部电荷泵允许直流(100%占空比)操作。可使用二极管或同步整流在快衰减模式或慢衰减模式下驱动全桥。在慢衰减模式下,电流再循环可穿过高边或低边FET。通过电阻器可调式空载时间保护功率FET不被击穿。整体诊断提供欠压、过热和功率桥故障的指示,并且可被配置为在大多数短路条件下保护功率MOSFET。其它马达驱动器可容易地被替换以用于包括绝对定位系统的跟踪系统480中。
跟踪系统480包括根据本公开的一个方面的包括位置传感器472的受控马达驱动电路布置方式。用于绝对定位系统的位置传感器472提供对应于位移构件的位置的独特位置信号。在一个方面,位移构件表示纵向可移动的驱动构件,其包括用于与齿轮减速器组件的对应驱动齿轮啮合接合的驱动齿的齿条。在其它方面,位移构件表示击发构件,该击发构件可被适配和配置为包括驱动齿的齿条。在又一方面,位移构件表示击发杆或I形梁,它们中的每个可被适配和配置为包括驱动齿的齿条。因此,如本文所用,术语位移构件通常用于指外科器械或工具的任何可移动的构件诸如驱动构件、击发构件、击发杆、I形梁或可进行移位的任何元件。在一个方面,纵向可移动的驱动构件耦接到击发构件、击发杆和I形梁。因此,绝对定位系统实际上可通过跟踪纵向可移动的驱动构件的线性位移来跟踪I形梁的线性位移。在各种其它方面,位移构件可耦接到适于测量线性位移的任何位置传感器472。因此,纵向可移动的驱动构件、击发构件、击发杆或I形梁或它们的组合可耦接到任何合适的线性位移传感器。线性位移传感器可包括接触式位移传感器或非接触式位移传感器。线性位移传感器可包括线性可变差分变压器(LVDT)、差分可变磁阻换能器(DVRT)、滑动电位计、包括可移动磁体和一系列线性布置的霍尔效应传感器的磁感测系统、包括固定磁体和一系列可移动的线性布置的霍尔效应传感器的磁感测系统、包括可移动光源和一系列线性布置的光电二极管或光电检测器的光学感测系统、包括固定光源和一系列可移动的线性布置的光电二极管或光电检测器的光学感测系统、或它们的任何组合。
电动马达482可包括可操作地与齿轮组件交接的可旋转轴,该齿轮组件与驱动齿的组或齿条啮合接合安装在位移构件上。传感器元件可以可操作地耦接到齿轮组件,使得位置传感器472元件的单次旋转对应于位移构件的一些线性纵向平移。传动装置和传感器的布置方式可经由齿条和小齿轮布置方式连接至线性致动器,或者经由直齿齿轮或其它连接连接至旋转致动器。功率源为绝对定位系统供电,并且输出指示器可显示绝对定位系统的输出。位移构件表示纵向可移动驱动构件,该纵向可移动驱动构件包括形成于其上的驱动齿的齿条,以用于与齿轮减速器组件的对应驱动齿轮啮合接合。位移构件表示纵向可移动的击发构件、击发杆、I形梁或它们的组合。
与位置传感器472相关联的传感器元件的单次旋转等同于位移构件的纵向线性位移d1,其中d1为在耦接到位移构件的传感器元件的单次旋转之后位移构件从点“a”移动到点“b”的纵向线性距离。可经由齿轮减速连接传感器布置方式,该齿轮减速使得位置传感器472针对位移构件的全行程仅完成一次或多次旋转。位置传感器472可针对位移构件的全行程完成多次旋转。
可单独或结合齿轮减速采用一系列开关(其中n为大于一的整数)以针对位置传感器472的多于一次旋转提供独特位置信号。开关的状态被馈送回微控制器461,该微控制器应用逻辑以确定对应于位移构件的纵向线性位移d1+d2+…dn的独特位置信号。位置传感器472的输出被提供给微控制器461。该传感器布置方式的位置传感器472可包括磁性传感器、模拟旋转传感器(如电位差计)、模拟霍尔效应元件的阵列,该霍尔效应元件的阵列输出位置信号或值的独特组合。
位置传感器472可包括任何数量的磁性感测元件,诸如例如根据它们是否测量磁场的总磁场或矢量分量而被分类的磁性传感器。用于产生上述两种类型磁性传感器的技术涵盖物理学和电子学的多个方面。用于磁场感测的技术包括探查线圈、磁通门、光泵、核旋、超导量子干涉仪(SQUID)、霍尔效应、各向异性磁电阻、巨磁电阻、磁性隧道结、巨磁阻抗、磁致伸缩/压电复合材料、磁敏二极管、磁敏晶体管、光纤、磁光,以及基于微机电系统的磁性传感器等等。
在一个方面,用于包括绝对定位系统的跟踪系统480的位置传感器472包括磁性旋转绝对定位系统。位置传感器472可被实现为AS5055EQFT单片磁性旋转位置传感器,其可购自Austria Microsystems,AG。位置传感器472与微控制器461交接,以提供绝对定位系统。位置传感器472为低电压和低功率部件,并且包括位于磁体上的位置传感器472的区域中的四个霍尔效应元件。在芯片上还提供了高分辨率ADC和智能功率管理控制器。提供了坐标旋转数字计算机(CORDIC)处理器(也被称为逐位法和Volder算法)以执行简单有效的算法来计算双曲线函数和三角函数,其仅需要加法、减法、数位位移和表格查找操作。角位置、报警位和磁场信息通过标准串行通信接口(诸如串行外围接口(SPI)接口)传输到微控制器461。位置传感器472提供12或14位分辨率。位置传感器472可为以小QFN 16引脚4×4×0.85mm封装提供的AS5055芯片。
包括绝对定位系统的跟踪系统480可包括并且/或者可被编程以实现反馈控制器,诸如PID、状态反馈和自适应控制器。功率源将来自反馈控制器的信号转换为对系统的物理输入:在这种情况下为电压。其它示例包括电压、电流和力的PWM。除了由位置传感器472所测量的位置之外,可提供其它传感器来测量物理系统的物理参数。在一些方面,其它传感器可包括传感器布置方式,诸如在2016年5月24日发布的标题为“STAPLE CARTRIDGE TISSUETHICKNESS”的美国专利9,345,481中所述的那些,该专利全文以引用方式并入本文;2014年9月18日公布的标题为“STAPLE CARTRIDGE TISSUE THICKNESS”的美国专利申请公布2014/0263552,该专利全文以引用方式并入本文;以及2017年6月20日提交的标题为“TECHNIQUESFOR ADAPTIVE CONTROL OF MOTOR VELOCITY OF A SURGICAL STAPLING AND CUTTINGINSTRUMENT”的美国专利申请序列号15/628,175,该专利申请全文以引用方式并入本文。在数字信号处理系统中,绝对定位系统耦接到数字数据采集系统,其中绝对定位系统的输出将具有有限分辨率和采样频率。绝对定位系统可包括比较和组合电路,以使用算法(诸如加权平均和理论控制环路)将计算响应与测量响应进行组合,该算法驱动计算响应朝向所测量的响应。物理系统的计算响应将特性如质量、惯性、粘性摩擦、电感电阻考虑在内,以通过得知输入预测物理系统的状态和输出。
因此,绝对定位系统在器械上电时提供位移构件的绝对位置,并且不使位移构件回缩或推进至如常规旋转编码器可需要的复位(清零或本位)位置,这些编码器仅对马达482采取的向前或向后的步骤数进行计数以推断装置致动器、驱动棒、刀等等的位置。
传感器474(诸如,例如应变仪或微应变仪)被配置为测量端部执行器的一个或多个参数,诸如例如在夹持操作期间施加在砧座上的应变的幅值,该幅值可以指示施加到砧座的闭合力。将测得的应变转换成数字信号并提供给处理器462。另选地或除了传感器474之外,传感器476(诸如例如负载传感器)可以测量由闭合驱动系统施加到砧座的闭合力。诸如例如负载传感器的传感器476可以测量在外科器械或工具的击发行程中施加到I形梁的击发力。I形梁被配置为接合楔形滑动件,该楔形滑动件被配置为使钉驱动器向上凸轮运动以将钉推出以与砧座变形接触。I形梁还包括锋利切割刃,当通过击发杆向远侧推进I形梁时,该切割刃可用于切断组织。另选地,可以采用电流传感器478来测量由马达482消耗的电流。推进击发构件所需的力可对应于例如由马达482消耗的电流。将测得的力转换成数字信号并提供给处理器462。
在一种形式中,应变仪传感器474可用于测量由端部执行器施加到组织的力。应变计可联接到端部执行器以测量被端部执行器处理的组织上的力。用于测量施加到由端部执行器抓握的组织的力的系统包括应变仪传感器474,诸如例如微应变仪,其被配置为测量例如端部执行器的一个或多个参数。在一个方面,应变仪传感器474可测量在夹持操作期间施加到端部执行器的钳口构件上的应变的振幅或量值,这可指示组织压缩。将测得的应变转换成数字信号并将其提供到微控制器461的处理器462。负载传感器476可测量用于操作刀元件例如以切割被捕获在砧座和钉仓之间的组织的力。可采用磁场传感器来测量捕集的组织的厚度。磁场传感器的测量值也可被转换成数字信号并提供给处理器462。
微控制器461可使用分别由传感器474、476测量的组织压缩、组织厚度和/或闭合端部执行器所需的力的测量来表征击发构件的所选择的位置和/或击发构件的速度的对应值。在一个实例中,存储器468可存储可由微控制器461在评估中所采用的技术、公式和/或查找表。
外科器械或工具的控制系统470还可包括有线或无线通信电路以与模块化通信集线器通信,如图8-11中所示。
图13示出了控制电路500,该控制电路500被配置为控制根据本公开的一个方面的外科器械或工具的各方面。控制电路500可被配置为实现本文所述的各种过程。电路500可以包括微控制器,该微控制器包括耦接到至少一个存储器电路504的一个或多个处理器502(例如,微处理器、微控制器)。存储器电路504存储在由处理器502执行时使处理器502执行机器指令以实现本文所述的各种过程的机器可执行指令。处理器502可为本领域中已知的多种单核或多核处理器中的任一种。存储器电路504可包括易失性存储介质和非易失性存储介质。处理器502可包括指令处理单元506和运算单元508。指令处理单元可被配置为从本公开的存储器电路504接收指令。
图14示出了组合逻辑电路510,该组合逻辑电路510被配置为控制根据本公开的一个方面的外科器械或工具的各方面。组合逻辑电路510可被配置为实现本文所述的各种过程。组合逻辑电路510可包括有限状态机,该有限状态机包括组合逻辑512,该组合逻辑512被配置为在输入514处接收与外科器械或工具相关联的数据,通过组合逻辑512处理数据并提供输出516。
图15示出了根据本公开的一个方面的被配置为控制外科器械或工具的各个方面的时序逻辑电路520。时序逻辑电路520或组合逻辑522可被配置为实现本文所述的各种过程。时序逻辑电路520可包括有限状态机。时序逻辑电路520可包括例如组合逻辑522、至少一个存储器电路524和时钟529。该至少一个存储器电路524可以存储有限状态机的当前状态。在某些情况下,时序逻辑电路520可为同步的或异步的。组合逻辑522被配置为从输入526接收与外科器械或工具相关联的数据,通过组合逻辑522处理数据并提供输出528。在其它方面,电路可包括处理器(例如,处理器502,图13)和有限状态机的组合以实现本文的各种过程。在其它实施方案中,有限状态机可以包括组合逻辑电路(例如,组合逻辑电路510,图14)和时序逻辑电路520的组合。
图16示出了包括可被激活以执行各种功能的多个马达的外科器械或工具。在某些情况下,第一马达可被激活以执行第一功能,第二马达可被激活以执行第二功能,并且第三马达可被激活以执行第三功能。在某些情况下,机器人外科器械600的多个马达可被单独地激活以导致端部执行器中的击发运动、闭合运动、和/或关节运动。击发运动、闭合运动、和/或关节运动可例如通过轴组件传输到端部执行器。
在某些情况下,外科器械系统或工具可包括击发马达602。击发马达602可操作地耦接到击发马达驱动组件604,该击发马达驱动组件可被配置为将由马达602生成的击发运动传输到端部执行器,具体地用于移位I形梁元件。在某些情况下,由马达602生成的击发运动可使例如钉从钉仓部署到由端部执行器捕获的组织内并且/或者使I形梁元件的切割刃被推进以切割捕获组织。I形梁元件可通过反转马达602的方向而回缩。
在某些情况下,外科器械或工具可包括闭合马达603。闭合马达603可以可操作地耦接到闭合马达驱动组件605,该闭合马达驱动组件605被配置为将由马达603生成的闭合运动传输到端部执行器,具体地用于移置闭合管以闭合砧座并且压缩砧座和钉仓之间的组织。闭合运动可使例如端部执行器从打开配置转变成接近配置以捕获组织。端部执行器可通过反转马达603的方向而转变到打开位置。
在某些情况下,外科器械或工具可包括例如一个或多个关节运动马达606a、606b。马达606a、606b可以可操作地耦接到相应的关节运动马达驱动组件608a、608b,该关节运动马达驱动组件可被配置为将由马达606a、606b生成的关节运动传输到端部执行器。在某些情况下,关节运动可使端部执行器相对于轴进行关节运动,例如。
如上所述,外科器械或工具可包括多个马达,该多个马达可被配置为执行各种独立功能。在某些情况下,外科器械或工具的多个马达可被单独地或独立地激活以执行一个或多个功能,而其它马达保持非活动的。例如,关节运动马达606a、606b可被激活以使端部执行器进行关节运动,而击发马达602保持非活动的。另选地,击发马达602可被激活以击发多个钉并且/或者推进切割边缘,而关节运动马达606保持非活动的。此外,闭合马达603可与击发马达602同时被激活,以使闭合管和I形梁元件朝远侧推进,如下文更详细地描述。
在某些情况下,外科器械或工具可包括公共控制模块610,该公共控制模块610可与外科器械或工具的多个马达一起使用。在某些情况下,公共控制模块610每次可适应该多个马达中的一个。例如,公共控制模块610可单独地耦接到外科器械的多个马达并且可从外科器械的多个马达分离。在某些情况下,外科器械或工具的多个马达可共用一个或多个公共控制模块诸如公共控制模块610。在某些情况下,外科器械或工具的多个马达可独立地和选择性地接合公共控制模块610。在某些情况下,公共控制模块610可从与外科器械或工具的多个马达中的一个交接切换到与外科器械或工具的多个马达中的另一个交接。
在至少一个示例中,公共控制模块610可在可操作地接合关节运动马达606a、606b与可操作地接合击发马达602或闭合马达603之间选择性地切换。在至少一个示例中,如图16中所示,开关614可在多个位置和/或状态之间移动或转变。在第一位置616中,开关614可以将公共控制模块610电耦接到击发马达602;在第二位置617中,开关614可以将公共控制模块610电耦接到闭合马达603;在第三位置618a中,开关614可以将公共控制模块610电耦接到第一关节运动马达606a;并且在第四位置618b中,开关614可以将公共控制模块610电耦接到例如第二关节运动马达606b。在某些情况下,单独的公共控制模块610可同时电耦接到击发马达602、闭合马达603和关节运动马达606a、606b。在某些情况下,开关614可为机械开关、机电开关、固态开关、或任何合适的开关机构。
马达602、603、606a、606b中的每个可包括扭矩传感器以测量马达的轴上的输出扭矩。可以任何常规方式感测端部执行器上的力,诸如通过钳口的外侧上的力传感器或通过用于致动钳口的马达的扭矩传感器来感测端部执行器上的力。
在各种情况下,如图16中所示,公共控制模块610可包括马达驱动器626,该马达驱动器626可包括一个或多个H桥场效应FET。马达驱动器626可例如基于得自微控制器620(“控制器”)的输入来调节从功率源628传输到耦接到公共控制模块610的马达的电力。在某些情况下,当马达耦接到公共控制模块610时,可例如采用微控制器620来确定由马达消耗的电流,如上所述。
在某些情况下,微控制器620可包括微处理器622(“处理器”)和一个或多个非暂态计算机可读介质或存储单元624(“存储器”)。在某些情况下,存储器624可存储各种程序指令,这些各种程序指令在被执行时可使处理器622执行本文所述的多个功能和/或计算。在某些情况下,存储器单元624中的一个或多个可例如耦接到处理器622。
在某些情况下,功率源628可例如用于为微控制器620供电。在某些情况下,功率源628可包括电池(或者“电池组”或“功率组”),诸如锂离子电池,例如。在某些情况下,电池组可被配置为可释放地安装到柄部以用于给外科器械600供电。可将多个串联连接的电池单元用作功率源628。在某些情况下,功率源628可为例如可替换的和/或可再充电的。
在各种情况下,处理器622可控制马达驱动器626以控制耦接到公共控制器610的马达的位置、旋转方向、和/或速度。在某些情况下,处理器622可发信号通知马达驱动器626,以停止和/或停用耦接到公共控制器610的马达。应当理解,如本文所用的术语“处理器”包括任何合适的微处理器、微控制器、或将计算机的中央处理单元(CPU)的功能结合在一个集成电路或至多几个集成电路上的其它基础计算装置。处理器是多用途的可编程装置,该装置接收数字数据作为输入,根据其存储器中存储的指令来处理输入,然后提供结果作为输出。因为处理器具有内部存储器,所以是顺序数字逻辑的示例。处理器的操作对象是以二进制数字系统表示的数字和符号。
在一个实例中,处理器622可为任何单核或多核处理器,诸如已知的由TexasInstruments生产的商品名为ARM Cortex的那些。在某些情况下,微控制器620可为例如购自Texas Instruments的LM 4F230H5QR。在至少一个示例中,Texas InstrumentsLM4F230H5QR为ARM Cortex-M4F处理器芯,其包括:256KB的单循环闪存或其它非易失性存储器(最多至40MHZ)的片上存储器、用于改善40MHz以上的性能的预取缓冲器、32KB的单循环SRAM、装载有软件的内部ROM、2KB的EEPROM、一个或多个PWM模块、一个或多个QEI模拟、具有12个模拟输入信道的一个或多个12位ADC、以及易得的其它特征。可容易地换用其它微控制器,以与模块4410一起使用。因此,本公开不应限于这一上下文。
在某些情况下,存储器624可包括用于控制可耦接到公共控制器610的外科器械600的马达中的每个的程序指令。例如,存储器624可包括用于控制击发马达602、闭合马达603和关节运动马达606a、606b的程序指令。此类程序指令可使得处理器622根据来自外科器械或工具的算法或控制程序的输入来控制击发、闭合和关节运动功能。
在某些情况下,一个或多个机构和/或传感器(诸如例如传感器630)可用于警示处理器622注意应当在特定设定中使用的程序指令。例如,传感器630可警示处理器622使用与击发、闭合和关节运动端部执行器相关联的程序指令。在某些情况下,传感器630可包括例如可用于感测开关614的位置的位置传感器。因此,处理器622可以在例如通过传感器630检测到开关614处于第一位置616时使用与击发端部执行器的I形梁相关联的程序指令;处理器622可以在例如通过传感器630检测到开关614处于第二位置617时使用与闭合砧座相关联的程序指令;并且处理器622可以在例如通过传感器630检测到开关614处于第三位置618a或第四位置618b时使用与使端部执行器进行关节运动相关联的程序指令。
图17是根据本公开的一个方面的被配置为操作本文所述的外科工具的机器人外科器械700的示意图。机器人外科器械700可被编程或配置为控制位移构件的远侧/近侧平移、闭合管的远侧/近侧位移、轴旋转、以及具有单个或多个关节运动驱动连杆的关节运动。在一个方面,外科器械700可被编程或配置为单独地控制击发构件、闭合构件、轴构件和/或一个或多个关节运动构件。外科器械700包括控制电路710,该控制电路被配置为控制马达驱动的击发构件、闭合构件、轴构件和/或一个或多个关节运动构件。
在一个方面,机器人外科器械700包括控制电路710,该控制电路被配置为经由多个马达704a-704e来控制端部执行器702的砧座716和I形梁714(包括锋利切割刃)部分,可移除钉仓718、轴740、以及一个或多个关节运动构件742a、742b。位置传感器734可被配置为向控制电路710提供I形梁714的位置反馈。其他传感器738可被配置为向控制电路710提供反馈。定时器/计数器731向控制电路710提供定时和计数信息。可提供能量源712以操作马达704a-704e,并且电流传感器736向控制电路710提供马达电流反馈。马达704a-704e可通过控制电路710在开环或闭环反馈控制中单独操作。
在一个方面,控制电路710可包括用于执行使得一个或多个处理器执行一个或多个任务的指令的一个或多个微控制器、微处理器或其它合适的处理器。在一个方面,定时器/计数器731向控制电路710提供输出信号,诸如耗用时间或数字计数,以将如由位置传感器734确定的I形梁714的位置与定时器/计数器731的输出相关联,使得控制电路710可确定I形梁714在相对于起始位置的特定时间(t)或I形梁714处于相对于起始位置的特定位置时的时间(t)处的位置。定时器/计数器731可被配置为测量所耗用的时间、计数外部事件或时间外部事件。
在一个方面,控制电路710可被编程为基于一个或多个组织条件来控制端部执行器702的功能。控制电路710可被编程为直接或间接地感测组织条件,诸如厚度,如本文所述。控制电路710可被编程为基于组织条件来选择击发控制程序或闭合控制程序。击发控制程序可以描述位移构件的远侧运动。可以选择不同的击发控制程序以更好地处理不同的组织状况。例如,当存在较厚的组织时,控制电路710可被编程为以较低的速度和/或以较低的功率平移位移构件。当存在较薄的组织时,控制电路710可被编程为以较高的速度和/或以较高的功率平移位移构件。闭合控制程序可控制由砧座716施加到组织的闭合力。其它控制程序控制轴740和关节运动构件742a、742b的旋转。
在一个方面,控制电路710可生成马达设定点信号。马达设定点信号可以被提供给各种马达控制器708a-708e。马达控制器708a-708e可以包括一个或多个电路,这些电路被配置为向马达704a-704e提供马达驱动信号,以驱动马达704a-704e,如本文所述。在一些示例中,马达704a-704e可为有刷DC电动马达。例如,马达704a-704e的速度可与相应的马达驱动信号成比例。在一些示例中,马达704a-704e可为无刷DC马达,并且相应的马达驱动信号可包括提供给马达704a-704e的一个或多个定子绕组的PWM信号。而且,在一些示例中,可以省略马达控制器708a-708e,并且控制电路710可以直接生成马达驱动信号。
在一些示例中,控制电路710可以针对位移构件的行程的第一开环部分初始以开环配置操作马达704a-704e中的每个。基于在行程的开环部分期间机器人外科器械700的响应,控制电路710可以选择处于闭环配置的击发控制程序。器械的响应可以包括在开环部分期间位移构件的平移距离、在开环部分期间耗用的时间、在开环部分期间提供给马达704a-704e中的一者的能量、马达驱动信号的脉冲宽度之和等。在开环部分之后,控制电路710可以对位移构件行程的第二部分实现所选择的击发控制程序。例如,在行程的闭环部分期间,控制电路710可以基于以闭环方式描述位移构件的位置的平移数据来调制马达704a-704e中的一者,以使位移构件以恒定速度平移。
在一个方面,马达704a-704e可从能量源712接收电力。能量源712可为由主交流功率源、电池、超级电容器或任何其它合适的能量源驱动的DC功率源。马达704a-704e可经由相应的变速器706a-706e机械耦接到单独的可移动的机械元件,诸如I形梁714、砧座716、轴740、关节运动742a和关节运动742b。变速器706a-706e可以包括一个或多个齿轮或其它连杆部件,以将马达704a-704e耦接到可移动机械元件。位置传感器734可感测I形梁714的位置。位置传感器734可为能够生成指示I形梁714的位置的位置数据的任何类型的传感器或包括该传感器。在一些示例中,位置传感器734可包括编码器,该编码器被配置为在I形梁714向远侧和向近侧平移时向控制电路710提供一系列脉冲。控制电路710可跟踪脉冲以确定I形梁714的位置。可使用其它合适的位置传感器,包括例如接近传感器。其他类型的位置传感器可提供指示I形梁714的运动的其他信号。而且,在一些示例中,可省略位置传感器734。在马达704a-704e中的任一个为步进马达的情况下,控制电路710可通过聚合马达704已被指示执行的步骤的数量和方向来跟踪I形梁714的位置。位置传感器734可位于端部执行器702中或器械的任何其他部分处。马达704a-704e中的每个的输出包括用于感测力的扭矩传感器744a-744e,并且具有用于感测驱动轴的旋转的编码器。
在一个方面,控制电路710被配置为驱动击发构件诸如端部执行器702的I形梁714部分。控制电路710向马达控制708a提供马达设定点,该马达控制向马达704a提供驱动信号。马达704a的输出轴耦接到扭矩传感器744a。扭矩传感器744a耦接到变速器706a,该变速器耦接到I形梁714。变速器706a包括可移动的机械元件诸如旋转元件和击发构件,以控制I形梁714沿端部执行器702的纵向轴线朝远侧和近侧的移动。在一个方面,马达704a可耦接到刀齿轮组件,该刀齿轮组件包括刀齿轮减速组,该刀齿轮减速组包括第一刀驱动齿轮和第二刀驱动齿轮。扭矩传感器744a向控制电路710提供击发力反馈信号。击发力信号表示击发或移位I形梁714所需的力。位置传感器734可被配置为将I形梁714沿击发行程的位置或击发构件的位置作为反馈信号提供给控制电路710。端部执行器702可包括被配置为向控制电路710提供反馈信号的附加传感器738。当准备好使用时,控制电路710可向马达控制708a提供击发信号。响应于击发信号,马达704a可沿端部执行器702的纵向轴线将击发构件从近侧行程开始位置朝远侧驱动至行程开始位置远侧的行程结束位置。在击发构件朝远侧平移时,具有定位在远侧端部处的切割元件的I形梁714朝远侧推进以切割位于钉仓718与砧座716之间的组织。
在一个方面,控制电路710被配置为驱动闭合构件,诸如端部执行器702的砧座716部分。控制电路710向马达控制708b提供马达设定点,该马达控制708b向马达704b提供驱动信号。马达704b的输出轴耦接到扭矩传感器744b。扭矩传感器744b耦接到耦接到砧座716的变速器706b。变速器706b包括可移动的机械元件诸如旋转元件和闭合构件,以控制砧座716从打开位置和闭合位置开始的移动。在一个方面,马达704b耦接到闭合齿轮组件,该闭合齿轮组件包括被支撑成与闭合正齿轮啮合接合的闭合减速齿轮组。扭矩传感器744b向控制电路710提供闭合力反馈信号。闭合力反馈信号表示施加到砧座716的闭合力。位置传感器734可被配置为将闭合构件的位置作为反馈信号提供给控制电路710。端部执行器702中的附加传感器738可向控制电路710提供闭合力反馈信号。可枢转砧座716与钉仓718相对地定位。当准备好使用时,控制电路710可向马达控制708b提供闭合信号。响应于闭合信号,马达704b推进闭合构件以抓握砧座716与钉仓718之间的组织。
在一个方面,控制电路710被配置为使轴构件诸如轴740旋转,以使端部执行器702旋转。控制电路710向马达控制708c提供马达设定点,该马达控制708c向马达704c提供驱动信号。马达704c的输出轴耦接到扭矩传感器744c。扭矩传感器744c耦接到耦接到轴740的变速器706c。变速器706c包括可移动机械元件诸如旋转元件,以控制轴740顺时针或逆时针旋转360°以上。在一个方面,马达704c耦接到旋转变速器组件,该旋转变速器组件包括管齿轮区段,该管齿轮区段形成于(或附接到)近侧闭合管的近侧端部上,以通过可操作地支撑在工具安装板上的旋转齿轮组件可操作地接合。扭矩传感器744c向控制电路710提供旋转力反馈信号。旋转力反馈信号表示施加到轴740的旋转力。位置传感器734可被配置为将闭合构件的位置作为反馈信号提供给控制电路710。附加传感器738诸如轴编码器可向控制电路710提供轴740的旋转位置。
在一个方面,控制电路710被配置为使端部执行器702进行关节运动。控制电路710向马达控制708d提供马达设定点,该马达控制708d向马达704d提供驱动信号。马达704d的输出轴耦接到扭矩传感器744d。扭矩传感器744d耦接到耦接到关节运动构件742a的变速器706d。变速器706d包括可移动的机械元件诸如关节运动元件,以控制端部执行器702±65°的关节运动。在一个方面,马达704d耦接到关节运动螺母,该关节运动螺母可旋转地轴颈连接在远侧脊部的近侧端部部分上并且通过关节运动齿轮组件在其上可旋转地驱动。扭矩传感器744d向控制电路710提供关节运动力反馈信号。关节运动力反馈信号表示施加到端部执行器702的关节运动力。传感器738(诸如关节运动编码器)可向控制电路710提供端部执行器702的关节运动位置。
在另一方面,机器人外科系统700的关节运动功能可包括两个关节运动构件或连杆742a、742b。这些关节运动构件742a、742b被由两个马达708d、708e驱动的机器人接口(齿条)上的单独的盘驱动。当提供单独的击发马达704a时,关节运动连杆742a、742b中的每个可相对于另一个连杆进行拮抗驱动,以便在头部未运动时向头部提供阻力保持运动和负载,并且在头部进行关节运动时提供关节运动。当头部旋转时,关节运动构件742a、742b以固定的半径附接到头部。因此,当头部旋转时,推拉连杆的机械优点发生变化。机械优点的该变化对于其它关节运动连杆驱动系统可更明显。
在一个方面,一个或多个马达704a-704e可包括具有齿轮箱的有刷DC马达和与击发构件、闭合构件或关节运动构件的机械链路。另一个示例包括操作可移动机械元件诸如位移构件、关节运动连杆、闭合管和轴的电动马达704a-704e。外部影响是事物如组织、周围身体和摩擦对物理系统的未测量的、不可预测的影响。此类外部影响可被称为曳力,其相对电动马达704a-704e中的一个作用。外部影响诸如曳力可导致物理系统的操作偏离物理系统的期望操作。
在一个方面,位置传感器734可被实现为绝对定位系统。在一个方面,位置传感器734可包括磁性旋转绝对定位系统,该磁性旋转绝对定位系统被实现为AS5055EQFT单片磁性旋转位置传感器,其可购自Austria Microsystems,AG。位置传感器734可与控制电路710交接以提供绝对定位系统。位置可包括位于磁体上方并耦接到CORDIC处理器的霍尔效应元件,该CORDIC处理器也被已知为逐位方法和Volder算法,提供该CORDIC处理器以实现用于计算双曲线函数和三角函数的简单有效的算法,双曲线函数和三角函数仅需要加法操作、减法操作、数位位移操作和表格查找操作。
在一个方面,控制电路710可与一个或多个传感器738通信。传感器738可定位在端部执行器702上并且适于与机器人外科器械700一起操作以测量各种衍生参数,诸如间隙距离对时间、组织压缩与时间、以及砧座应变与时间。传感器738可包括磁性传感器、磁场传感器、应变仪、负载传感器、压力传感器、力传感器、扭矩传感器、电感式传感器诸如涡流传感器、电阻式传感器、电容式传感器、光学传感器和/或用于测量端部执行器702的一个或多个参数的任何其他合适的传感器。传感器738可包括一个或多个传感器。传感器738可位于钉仓718平台上,以使用分段电极来确定组织位置。扭矩传感器744a-744e可被配置为感测力诸如击发力、闭合力和/或关节运动力等。因此,控制电路710可感测(1)远侧闭合管所经受的闭合负载及其位置,(2)在齿条处的击发构件及其位置,(3)钉仓718的上面具有组织的部分,以及(4)两个关节运动杆上的负载和位置。
在一个方面,该一个或多个传感器738可包括应变仪,诸如微应变仪,该应变仪被配置为在夹持条件期间测量砧座716中的应变的量值。应变仪提供电信号,该电信号的幅值随着应变量值而变化。传感器738可包括压力传感器,该压力传感器被配置为检测由砧座716与钉仓718之间存在的压缩组织生成的压力。传感器738可被配置为检测位于砧座716与钉仓718之间的组织区段的阻抗,该阻抗指示位于其间的组织的厚度和/或完全性。
在一个方面,传感器738可实现为一个或多个限位开关、机电装置、固态开关、霍尔效应装置、磁阻(MR)装置、巨磁电阻(GMR)装置、磁力计等等。在其它具体实施中,传感器738可被实现为在光的影响下操作的固态开关,诸如光学传感器、IR传感器、紫外线传感器等等。同样,开关可为固态装置,诸如晶体管(例如,FET、结型FET、MOSFET、双极型晶体管等)。在其它具体实施中,传感器738可包括无电导体开关、超声开关、加速度计和惯性传感器等等。
在一个方面,传感器738可被配置为测量由闭合驱动系统施加在砧座716上的力。例如,一个或多个传感器738可位于闭合管与砧座716之间的交互点处,以检测由闭合管施加到砧座716的闭合力。施加在砧座716上的力可表示在砧座716与钉仓718之间捕获的组织区段所经受的组织压缩。该一个或多个传感器738可沿闭合驱动系统定位在各种交互点处,以检测由闭合驱动系统施加到砧座716的闭合力。一个或多个传感器738可在夹持操作期间由控制电路710的处理器实时取样。控制电路710接收实时样本测量值以提供和分析基于时间的信息,并实时评估施加到砧座716的闭合力。
在一个方面,电流传感器736可用于测量由马达704a-704e中的每个所消耗的电流。推进可移动的机械元件(诸如I形梁714)中的任一者所需的力对应于由马达704a-704e中的一个所消耗的电流。该力被转换成数字信号并提供给处理器710。控制电路710可被配置为模拟器械的实际系统在控制器的软件中的响应。可致动位移构件以将端部执行器702中的I形梁714以目标速度或接近目标速度移动。机器人外科系统700可包括反馈控制器,该反馈控制器可为任何反馈控制器中的一者,包括但不限于例如PID、状态反馈、线性平方(LQR)和/或自适应控制器。机器人外科器械700可包括功率源,以例如将来自反馈控制器的信号转换成物理输入,诸如外壳电压、PWM电压、频率调制电压、电流、扭矩和/或力。附加细节公开于2017年6月29日提交的标题为“CLOSED LOOP VELOCITY CONTROL TECHNIQUES FORROBOTIC SURGICAL INSTRUMENT”的美国专利申请序列号15/636,829中,该专利全文以引用方式并入本文。
图18示出了根据本公开的一个方面的被编程为控制位移构件的远侧平移的外科器械750的框图。在一个方面,外科器械750被编程为控制位移构件诸如I形梁764的远侧平移。外科器械750包括端部执行器752,该端部执行器可包括砧座766、I形梁764(包括锋利切割刃)和可移除钉仓768。
线性位移构件诸如I形梁764的位置、移动、位移和/或平移可通过绝对定位系统、传感器布置和位置传感器784来测量。因为I形梁764耦接到纵向可移动的驱动构件,因此I形梁764的位置可通过采用位置传感器784测量纵向可移动的驱动构件的位置来确定。因此,在以下描述中,I形梁764的位置、位移和/或平移可通过如本文所述的位置传感器784来实现。控制电路760可被编程为控制位移构件诸如I形梁764的平移。在一些示例中,控制电路760可包括用于执行使一个或多个处理器以所述方式控制位移构件(例如,I形梁764)的指令的一个或多个微控制器、微处理器或其他合适的处理器。在一个方面,定时器/计数器781向控制电路760提供输出信号,诸如耗用时间或数字计数,以将如由位置传感器784确定的I形梁764的位置与定时器/计数器781的输出相关联,使得控制电路760可确定I形梁764在相对于起始位置的特定时间(t)处的位置。定时器/计数器781可被配置为测量耗用时间,对外部事件进行计数或测定外部事件的时间。
控制电路760可生成马达设定点信号772。马达设定点信号772可被提供给马达控制器758。马达控制器758可包括被配置为向马达754提供马达驱动信号774以驱动马达754的一个或多个电路,如本文所述。在一些示例中,马达754可为有刷DC电动马达。例如,马达754的速度可与马达驱动信号774的电压成比例。在一些示例中,马达754可为无刷DC电动马达,并且马达驱动信号774可以包括提供给马达754的一个或多个定子绕组的PWM信号。而且,在一些示例中,可以省略马达控制器758,并且控制电路760可以直接生成马达驱动信号774。
马达754可从能量源762接收电力。能量源762可以是或包括电池、超级电容器或任何其它合适的能量源。马达754可经由变速器756机械耦接到I形梁764。变速器756可包括用于将马达754耦接到I形梁764的一个或多个齿轮或其他连杆部件。位置传感器784可感测I形梁764的位置。位置传感器784可为能够生成指示I形梁764的位置的位置数据的任何类型的传感器或包括该传感器。在一些示例中,位置传感器784可包括编码器,该编码器被配置为在I形梁764朝远侧和朝近侧平移时向控制电路760提供一系列脉冲。控制电路760可跟踪脉冲以确定I形梁764的位置。可使用其它合适的位置传感器,包括例如接近传感器。其他类型的位置传感器可提供指示I形梁764的运动的其他信号。而且,在一些示例中,可省略位置传感器784。在马达754为步进马达的情况下,控制电路760可通过聚合马达754已被指示执行的步骤的数量和方向来跟踪I形梁764的位置。位置传感器784可位于端部执行器752中或器械的任何其他部分处。
控制电路760可与一个或多个传感器788通信。传感器788可定位在端部执行器752上并且适配于与外科器械750一起操作以测量各种衍生参数,诸如间隙距离与时间、组织压缩与时间、以及砧座应变与时间。传感器788可包括磁性传感器、磁场传感器、应变仪、压力传感器、力传感器、电感式传感器诸如涡流传感器、电阻式传感器、电容式传感器、光学传感器和/或用于测量端部执行器752的一个或多个参数的任何其他合适的传感器。传感器788可包括一个或多个传感器。
该一个或多个传感器788可包括应变仪,诸如微应变仪,该应变仪被配置为在夹持条件期间测量砧座766中的应变的量值。应变仪提供电信号,该电信号的幅值随着应变量值而变化。传感器788可包括压力传感器,该压力传感器被配置为检测由砧座766与钉仓768之间存在的压缩组织生成的压力。传感器788可被配置为检测位于砧座766与钉仓768之间的组织区段的阻抗,该阻抗指示位于其间的组织的厚度和/或完全性。
传感器788可被配置为测量由闭合驱动系统施加在砧座766上的力。例如,一个或多个传感器788可位于闭合管与砧座766之间的交互点处,以检测由闭合管施加到砧座766的闭合力。施加在砧座766上的力可表示在砧座766与钉仓768之间捕获的组织区段所经受的组织压缩。该一个或多个传感器788可沿闭合驱动系统定位在各种交互点处,以检测由闭合驱动系统施加到砧座766的闭合力。一个或多个传感器788可在夹持操作期间由控制电路760的处理器实时取样。控制电路760接收实时样本测量值以提供和分析基于时间的信息,并实时评估施加到砧座766的闭合力。
可采用电流传感器786来测量由马达754消耗的电流。推进I形梁764所需的力对应于由马达754消耗的电流。该力被转换成数字信号并提供给处理器760。
控制电路760可被配置为模拟器械的实际系统在控制器的软件中的响应。可致动位移构件以将端部执行器752中的I形梁764以目标速度或接近目标速度移动。外科器械750可包括反馈控制器,该反馈控制器可为任何反馈控制器中的一者,包括但不限于例如PID、状态反馈、LQR和/或自适应控制器。外科器械750可包括功率源,以例如将来自反馈控制器的信号转换为物理输入,诸如外壳电压、PWM电压、频率调制电压、电流、扭矩和/或力。
外科器械750的实际驱动系统被配置为通过具有齿轮箱和与关节运动和/或刀系统的机械链路的有刷DC马达来驱动位移构件、切割构件或I形梁764。另一示例为操作例如可互换轴组件的位移构件和关节运动驱动器的电动马达754。外部影响是事物如组织、周围身体和摩擦对物理系统的未测量的、不可预测的影响。此类外部影响可被称为相对电动马达754作用的曳力。外部影响诸如曳力可导致物理系统的操作偏离物理系统的期望操作。
各种示例方面涉及外科器械750,该外科器械包括具有马达驱动的外科缝合和切割工具的端部执行器752。例如,马达754可沿端部执行器752的纵向轴线朝远侧和朝近侧驱动位移构件。端部执行器752可包括可枢转砧座766,并且当被配置用于使用时,钉仓768与砧座766相对定位。临床医生可握持砧座766与钉仓768之间的组织,如本文所述。当准备好使用器械750时,临床医生可例如通过按下器械750的触发器来提供击发信号。响应于击发信号,马达754可沿端部执行器752的纵向轴线将位移构件从近侧行程开始位置朝远侧驱动到行程开始位置远侧的行程结束位置。当位移构件朝远侧平移时,具有定位在远侧端部处的切割元件的I形梁764可切割钉仓768与砧座766之间的组织。
在各种示例中,外科器械750可包括控制电路760,该控制电路被编程为例如基于一个或多个组织条件来控制位移构件诸如I形梁764的远侧平移。控制电路760可被编程为直接或间接地感测组织条件,诸如厚度,如本文所述。控制电路760可被编程为基于组织条件来选择击发控制程序。击发控制程序可以描述位移构件的远侧运动。可以选择不同的击发控制程序以更好地处理不同的组织状况。例如,当存在较厚的组织时,控制电路760可被编程为以较低的速度和/或以较低的功率平移位移构件。当存在较薄的组织时,控制电路760可被编程为以较高的速度和/或以较高的功率平移位移构件。
在一些示例中,控制电路760最初可针对位移构件的行程的第一开环部分以开环构型来操作马达754。基于在行程的开环部分期间器械750的响应,控制电路760可选择击发控制程序。器械的响应可包括在开环部分期间位移构件的平移距离、在开环部分期间耗用的时间、在开环部分期间提供给马达754的能量、马达驱动信号的脉冲宽度总和等。在开环部分之后,控制电路760可对位移构件行程的第二部分实现所选择的击发控制程序。例如,在行程的闭环部分期间,控制电路760可基于以闭环方式描述位移构件的位置的平移数据来调制马达754,以使位移构件以恒定速度平移。附加细节公开于2017年9月29日提交的标题为“SYSTEM AND METHODS FOR CONTROLLING A DISPLAY OF A SURGICAL INSTRUMENT”的美国专利申请序列号15/720,852中,该专利申请全文以引用方式并入本文。
图19是根据本公开的一个方面的被配置为控制各种功能的外科器械790的示意图。在一个方面,外科器械790被编程为控制位移构件诸如I形梁764的远侧平移。外科器械790包括端部执行器792,该端部执行器可包括砧座766、I形梁764和可移除钉仓768,该可移除钉仓可与RF仓796(以虚线示出)互换。
在一个方面,传感器788可被实现为限位开关、机电装置、固态开关、霍尔效应装置、MR装置、GMR装置、磁力计等等。在其它具体实施中,传感器638可被实现为在光的影响下操作的固态开关,诸如光学传感器、IR传感器、紫外线传感器等等。同样,开关可为固态装置,诸如晶体管(例如,FET、结型FET、MOSFET、双极型晶体管等)。在其他具体实施中,传感器788可包括无电导体开关、超声开关、加速度计和惯性传感器等等。
在一个方面,位置传感器784可被实现为绝对定位系统,该绝对定位系统包括被实现为AS5055EQFT单片磁性旋转位置传感器(购自Austria Microsystems,AG)的磁性旋转绝对定位系统。位置传感器784可与控制电路760交接以提供绝对定位系统。位置可包括位于磁体上方并耦接到CORDIC处理器的霍尔效应元件,该CORDIC处理器也被已知为逐位方法和Volder算法,提供该CORDIC处理器以实现用于计算双曲线函数和三角函数的简单有效的算法,双曲线函数和三角函数仅需要加法操作、减法操作、数位位移操作和表格查找操作。
在一个方面,I形梁764可被实现为包括刀主体的刀构件,该刀主体将组织切割刀片可操作地支撑在其上,并且还可包括砧座接合插片或特征件和通道接合特征件或脚部。在一个方面,钉仓768可被实现为标准(机械)外科紧固件仓。在一个方面,RF仓796可被实现为RF仓。这些和其他传感器布置在2017年6月20日提交的共同拥有的标题为“TECHNIQUESFOR ADAPTIVE CONTROL OF MOTOR VELOCITY OF A SURGICAL STAPLING AND CUTTINGINSTRUMENT”的美国专利申请序列号15/628,175中描述,该专利全文以引用方式并入本文。
线性位移构件诸如I形梁764的位置、移动、位移和/或平移可通过绝对定位系统、传感器布置和表示为位置传感器784的位置传感器来测量。因为I形梁764耦接到纵向可移动的驱动构件,因此I形梁764的位置可通过采用位置传感器784测量该纵向可移动的驱动构件的位置来确定。因此,在以下描述中,I形梁764的位置、位移和/或平移可通过如本文所述的位置传感器784来实现。控制电路760可被编程为控制位移构件诸如I形梁764的平移,如本文所述。在一些示例中,控制电路760可包括用于执行使一个或多个处理器以所述方式控制位移构件(例如,I形梁764)的指令的一个或多个微控制器、微处理器或其他合适的处理器。在一个方面,定时器/计数器781向控制电路760提供输出信号,诸如耗用时间或数字计数,以将如由位置传感器784确定的I形梁764的位置与定时器/计数器781的输出相关联,使得控制电路760可确定I形梁764在相对于起始位置的特定时间(t)处的位置。定时器/计数器781可被配置为测量耗用时间,对外部事件进行计数或测定外部事件的时间。
控制电路760可生成马达设定点信号772。马达设定点信号772可被提供给马达控制器758。马达控制器758可包括被配置为向马达754提供马达驱动信号774以驱动马达754的一个或多个电路,如本文所述。在一些示例中,马达754可为有刷DC电动马达。例如,马达754的速度可与马达驱动信号774的电压成比例。在一些示例中,马达754可为无刷DC电动马达,并且马达驱动信号774可以包括提供给马达754的一个或多个定子绕组的PWM信号。而且,在一些示例中,可以省略马达控制器758,并且控制电路760可以直接生成马达驱动信号774。
马达754可从能量源762接收电力。能量源762可以是或包括电池、超级电容器或任何其它合适的能量源。马达754可经由变速器756机械耦接到I形梁764。变速器756可包括用于将马达754耦接到I形梁764的一个或多个齿轮或其他连杆部件。位置传感器784可感测I形梁764的位置。位置传感器784可为能够生成指示I形梁764的位置的位置数据的任何类型的传感器或包括该传感器。在一些示例中,位置传感器784可包括编码器,该编码器被配置为在I形梁764朝远侧和朝近侧平移时向控制电路760提供一系列脉冲。控制电路760可跟踪脉冲以确定I形梁764的位置。可使用其它合适的位置传感器,包括例如接近传感器。其他类型的位置传感器可提供指示I形梁764的运动的其他信号。而且,在一些示例中,可省略位置传感器784。在马达754为步进马达的情况下,控制电路760可通过聚合马达已被指示执行的步骤的数量和方向来跟踪I形梁764的位置。位置传感器784可位于端部执行器792中或器械的任何其他部分处。
控制电路760可与一个或多个传感器788通信。传感器788可定位在端部执行器792上并且适配于与外科器械790一起操作以测量各种衍生参数,诸如间隙距离与时间、组织压缩与时间、以及砧座应变与时间。传感器788可包括磁性传感器、磁场传感器、应变仪、压力传感器、力传感器、电感式传感器诸如涡流传感器、电阻式传感器、电容式传感器、光学传感器和/或用于测量端部执行器792的一个或多个参数的任何其他合适的传感器。传感器788可包括一个或多个传感器。
该一个或多个传感器788可包括应变仪,诸如微应变仪,该应变仪被配置为在夹持条件期间测量砧座766中的应变的量值。应变仪提供电信号,该电信号的幅值随着应变量值而变化。传感器788可包括压力传感器,该压力传感器被配置为检测由砧座766与钉仓768之间存在的压缩组织生成的压力。传感器788可被配置为检测位于砧座766与钉仓768之间的组织区段的阻抗,该阻抗指示位于其间的组织的厚度和/或完全性。
传感器788可被配置为测量由闭合驱动系统施加在砧座766上的力。例如,一个或多个传感器788可位于闭合管与砧座766之间的交互点处,以检测由闭合管施加到砧座766的闭合力。施加在砧座766上的力可表示在砧座766与钉仓768之间捕获的组织区段所经受的组织压缩。该一个或多个传感器788可沿闭合驱动系统定位在各种交互点处,以检测由闭合驱动系统施加到砧座766的闭合力。该一个或多个传感器788可在夹持操作期间由控制电路760的处理器部分实时取样。控制电路760接收实时样本测量值以提供和分析基于时间的信息,并实时评估施加到砧座766的闭合力。
可采用电流传感器786来测量由马达754消耗的电流。推进I形梁764所需的力对应于由马达754消耗的电流。该力被转换成数字信号并提供给处理器760。
当RF仓796代替钉仓768被装载在端部执行器792中时,RF能量源794耦接到端部执行器792并且被施加到RF仓796。控制电路760控制RF能量到RF仓796的递送。
附加细节公开于2017年6月28日提交的美国专利申请序列号15/636,096,其标题为“SURGICAL SYSTEM COUPLABLE WITH STAPLE CARTRIDGE AND RADIO FREQUENCYCARTRIDGE,AND METHOD OF USING SAME”,该专利全文以引用方式并入本文。
发生器硬件
图20为被配置为除了其他益处之外还提供无电感器调谐的发生器800的简化框图。发生器800的附加细节在公布于2015年6月23日的标题为“SURGICAL GENERATOR FORULTRASONIC AND ELECTROSURGICAL DEVICES”的美国专利9,060,775中描述,该专利全文以引用方式并入本文。发生器800可包括患者隔离级802,该患者隔离级经由电力变压器806与非隔离级804通信。电力变压器806的次级绕组808包含在隔离级802中,并且可包括分接配置(例如,中心分接或非中心分接配置)以限定驱动信号输出810a、810b、810c,该驱动信号输出用于将驱动信号递送至不同的外科器械,诸如例如超声外科器械、RF电外科器械和包括能够单独或同时递送的超声能量模式和RF能量模式的多功能外科器械。具体地讲,驱动信号输出810a、810c可将超声驱动信号(例如,420V均方根(RMS)驱动信号)输出到超声外科器械,并且驱动信号输出810b、810c可将RF电外科驱动信号(例如,100V RMS驱动信号)输出到RF电外科器械,其中驱动信号输出810b对应于电力变压器806的中心分接头。
在某些形式中,超声驱动信号和电外科驱动信号可同时提供给不同的外科器械和/或具有将超声能量和电外科能量两者传递到组织的能力的单个外科器械诸如多功能外科器械。应当理解,提供至专用电外科器械和/或提供至组合多功能超声/电外科器械的电外科信号可以是治疗级信号或亚治疗级信号,其中可以使用例如亚治疗信号来监测组织或器械状况并向发生器提供反馈。例如,超声信号和RF信号可从具有单个输出端口的发生器单独地或同时递送,以便向外科器械提供期望的输出信号,如将在以下更详细地讨论。因此,发生器可组合超声能量和电外科RF能量并且将组合的能量递送到多功能超声/电外科器械。双极电极可被放置在端部执行器的一个或两个钳口上。除了电外科RF能量之外,一个钳口可由超声能量同时驱动。可采用超声能量来解剖组织,同时可采用电外科RF能量来进行脉管密封。
非隔离级804可包括功率放大器812,该功率放大器具有连接到电力变压器806的初级绕组814的输出。在某些形式中,功率放大器812可包括推挽放大器。例如,非隔离级804还可包括用于向数字/模拟转换器(DAC)电路818提供数字输出的逻辑装置816,其中该DAC电路又将对应的模拟信号提供至功率放大器812的输入。在某些形式中,除了其他逻辑电路之外,逻辑装置816例如可包括可编程门阵列(PGA)、FPGA、可编程逻辑装置(PLD)。因此,由于经由DAC电路818控制功率放大器812的输入,因此逻辑装置816可控制在驱动信号输出810a、810b、810c处出现的驱动信号的多个参数(例如,频率、波形形状、波形振幅)中的任一者。在某些形式中并且如下所讨论,逻辑装置816结合处理器(例如,以下所讨论的DSP)可实现多个基于DSP的算法和/或其他控制算法,以控制由发生器800输出的驱动信号的参数。
可通过开关模式调节器820(例如,功率转换器)将功率提供给功率放大器812的功率导轨。在某些形式中,开关模式调节器820例如可包括可调式降压调节器。例如,非隔离级804还可包括第一处理器822,在一种形式中,第一处理器可包括DSP处理器,诸如可从Analog Devices(Norwood,MA)购得的Analog Devices ADSP-21469SHARC DSP,但可在各种形式中采用任何合适的处理器。在某些形式中,DSP处理器822可响应于由DSP处理器822经由ADC电路824从功率放大器812接收的电压反馈数据来控制对开关模式调节器820的操作。在一种形式中,例如,DSP处理器822可经由ADC电路824接收由功率放大器812放大的信号(例如,RF信号)的波形包络作为输入。随后,DSP处理器822可控制开关模式调节器820(例如,经由PWM输出),使得被提供给功率放大器812的导轨电压跟踪放大的信号的波形包络。通过基于波形包络以动态方式调制功率放大器812的导轨电压,功率放大器812的效率可相对于固定导轨电压放大器方案显著升高。
在某些形式中,逻辑装置816结合DSP处理器822可实现数字合成电路诸如直接数字合成器控制方案,以控制由发生器800输出的驱动信号的波形形状、频率和/或振幅。在一种形式中,例如,逻辑装置816可通过召回存储于动态更新的查找表(LUT)(诸如RAM LUT)中的波形样本来实现DDS控制算法,该动态更新的查找表可被嵌入FPGA中。该控制算法尤其可用于如下超声应用,其中超声换能器诸如超声换能器可由其谐振频率下的纯正弦式电流驱动。因为其它频率可激发寄生谐振,因此最小化或降低动态支路电流的总失真可相应地最小化或降低不利的谐振效应。因为由发生器800输出的驱动信号的波形形状受输出驱动电路(例如,电力变压器806、功率放大器812)中所存在的各种畸变源的影响,因此基于驱动信号的电压和电流反馈数据可被输入到算法(诸如由DSP处理器822实现的误差控制算法)中,该算法通过适当地以动态行进方式(例如,实时)使存储于LUT中的波形样本预先畸变或修改来补偿畸变。在一种形式中,对LUT样本所施加的预先畸变量或程度可根据所计算的动态支路电流与期望的电流波形形状之间的误差而定,其中所述误差可基于逐一样本确定。以该方式,预先失真的LUT样本在通过驱动电路进行处理时,可使动态支路驱动信号具有所期望的波形形状(例如,正弦形状),以最佳地驱动超声换能器。因此,在此类形式中,当考虑到畸变效应时,LUT波形样本将不呈现驱动信号的期望波形形状,而是呈现要求最终产生动态支路驱动信号的期望波形形状的波形形状。
非隔离级804还可包括经由相应的隔离变压器830、832耦接到电力变压器806的输出的第一ADC电路826和第二ADC电路828,以用于分别对发生器800所输出的驱动信号的电压和电流进行采样。在某些形式中,ADC电路826、828可被配置为以高速(例如,80兆样本每秒(MSPS))进行采样,以实现对驱动信号进行过采样。在一种形式中,例如,ADC电路826、828的采样速度可实现对驱动信号进行约200×(根据频率)的过采样。在某些形式中,可通过单个ADC电路经由双向复用器接收输入电压和电流信号来执行ADC电路826、828的采样操作。通过在发生器800的形式中使用高速采样,除了别的之外,还可实现对流过动态支路的复杂电流的计算(这在某些形式中可用于实现上述基于DDS的波形形状控制)、对采样信号进行精确的数字滤波、以及以高精度计算实际功耗。由ADC电路826、828输出的电压和电流反馈数据可由逻辑装置816接收并处理(例如,先进先出(FIFO)缓冲器、复用器),并且被存储在数据存储器中,以供例如由DSP处理器822后续检索。如上所述,电压和电流反馈数据可用作算法的输入用于以动态行进方式使LUT波形样本预先失真或修改。在某些形式中,当采集到电压和电流反馈数据对时,可能需要基于由逻辑装置816输出的对应LUT样本或换句话讲与该对应LUT样本相关联来为每个所存储的电压和电流反馈数据对进行编索引。以此方式使LUT样本和电压和电流反馈数据同步有助于预失真算法的准确计时和稳定性。
在某些形式中,可使用电压和电流反馈数据来控制驱动信号的频率和/或振幅(例如,电流振幅)。在一种形式中,例如,可使用电压和电流反馈数据来确定阻抗相位。随后,可控制驱动信号的频率以最小化或减小所确定阻抗相位与阻抗相位设定点(例如,0°)之间的差值,从而最小化或减小谐波畸变的影响,并相应地提高阻抗相位测量精确度。相位阻抗和频率控制信号的确定可在DSP处理器822中实现,例如,其中频率控制信号作为输入被提供给由逻辑装置816实现的DDS控制算法。
在另一形式中,例如可监测电流反馈数据,以便将驱动信号的电流振幅保持在电流振幅设定点。电流振幅设定点可被直接指定或基于特定的电压振幅和功率设定点而间接地确定。在某些形式中,可通过DSP处理器822中的控制算法(诸如例如,比例积分微分(PID)控制算法)来实现对电流振幅的控制。由控制算法控制以适当地控制驱动信号的电流幅值的变量可包括:例如,存储在逻辑装置816中的LUT波形样本的标度和/或经由DAC电路834的DAC电路818(其将输入提供给功率放大器812)的满标度输出电压。
非隔离级804还可包括第二处理器836,其用于除别的之外还提供用户接口(UI)功能性。在一种形式中,UI处理器836可包括例如购自Atmel Corporation,San Jose,California的具有ARM 926EJ-S核芯的Atmel AT91SAM9263处理器。由UI处理器836支持的UI功能性的示例可包括听觉和视觉用户反馈、与外围装置的通信(例如,经由USB接口)、与脚踏开关的通信、与输入装置(例如,触摸屏显示器)的通信、以及与输出装置(例如,扬声器)的通信。UI处理器836可与DSP处理器822和逻辑装置816通信(例如,经由SPI总线)。尽管UI处理器836可主要支持UI功能性,但是在某些形式中,其也可与DSP处理器822配合以实现风险减缓。例如,UI处理器836可被编程为监测用户输入和/或其他输入(例如,触摸屏输入、脚踏开关输入、温度传感器输入)的各个方面,并且当检测到错误状况时停用发生器800的驱动输出。
在某些形式中,DSP处理器822与UI处理器836两者例如可确定并监测发生器800的操作状态。对于DSP处理器822,发生器800的操作状态例如可指示由DSP处理器822实现的是哪些控制和/或诊断过程。对于UI处理器836,发生器800的操作状态例如可指示UI的哪些元件(例如,显示屏、声音)可呈现给用户。相应的DSP处理器822和UI处理器836可独立地保持发生器800的当前操作状态并识别和评估当前操作状态的可能转变。DSP处理器822可用作此关系中的主体并确定何时会发生操作状态间的转变。Ui处理器836可注意到操作状态间的有效转变并可证实特定的转变是否适当。例如,当DSP处理器822指示UI处理器836转变到特定状态时,UI处理器836可证实所要求的转变是有效的。如果由UI处理器836确定所要求的状态间转变是无效的,则UI处理器836可使发生器800进入故障模式。
非隔离级804还可包括控制器838,以用于监测输入装置(例如,用于接通和断开发生器800的电容触摸传感器、电容触摸屏)。在某些形式中,控制器838可包括至少一个处理器和/或与UI处理器836通信的其他控制装置。在一种形式中,例如,控制器838可包括处理器(例如,购自Atmel的Meg168 8位控制器),该处理器被配置为监测经由一个或多个电容触摸传感器提供的用户输入。在一种形式中,控制器838可包括触摸屏控制器(例如购自Atmel的QT5480触摸屏控制器),以控制和管理对来自电容触摸屏的触摸数据的采集。
在某些形式中,当发生器800处于“功率关”状态时,控制器838可继续接收操作功率(例如,通过来自发生器800的功率源的线,诸如以下所述的功率源854)。以此方式,控制器838可继续监测输入装置(例如,位于发生器800的前面板上的电容触摸传感器),以用于接通和断开发生器800。当发生器800处于功率关状态时,如果检测到用户“接通/断开”输入装置的启动,则控制器838可唤醒功率源(例如,启用功率源854的一个或多个DC/DC电压转换器856的操作)。控制器838可因此开始以用于使发生器800转变到“功率开”状态的序列。相反,当发生器800处于功率开状态时,如果检测到“接通/断开”输入装置的启动,则控制器838可开始以用于使发生器800转变到功率关状态的序列。在某些形式中,例如,控制器838可向UI处理器836报告“接通/断开”输入装置的启动,该UI处理器继而实现必要的过程序列以用于使发生器800转变到功率关状态。在此类形式中,控制器838可能不具有在建立起功率开状态之后以用于从发生器800移除功率的独立能力。
在某些形式中,控制器838可使发生器800提供听觉或其他感观反馈,以用于警示用户功率开或功率关序列已开始。可在功率开或功率关序列开始时以及在与序列相关联的其它过程开始之前提供此类警示。
在某些形式中,隔离级802可包括器械接口电路840以例如在外科器械的控制电路(例如,包括手持件开关的控制电路)与非隔离级804的部件(例如,逻辑装置816、DSP处理器822和/或UI处理器836)之间提供通信接口。器械接口电路840可经由通信连接装置(例如,基于IR的通信连接装置)与非隔离级804的部件交换信息,该通信连接装置在隔离级802与非隔离级804之间保持合适程度的电隔离。例如,可使用由隔离变压器供电的低压差稳压器为器械接口电路840供应电力,该低压差稳压器从非隔离级804被驱动。
在一种形式中,器械接口电路840可包括与信号调节电路844通信的逻辑电路842(例如,逻辑电路、可编程逻辑电路、PGA、FPGA、PLD)。信号调节电路844可被配置为从逻辑电路842接收周期性信号(例如,2kHz的方波),以生成具有相同频率的双极性询问信号。例如,可使用由差分放大器馈送的双极电流源生成询问信号。询问信号可被传送到外科器械控制电路(例如,通过使用将发生器800连接到外科器械的缆线中的导体对)并被监测,以确定控制电路的状态或配置。控制电路可包括多个开关、电阻器和/或二极管,以修改询问信号的一个或多个特性(例如,振幅、校正),使得可基于该一个或多个特性唯一地辨别控制电路的状态或配置。在一种形式中,例如,信号调节电路844可包括ADC电路,以用于生成由于询问信号通过控制电路而出现在控制电路的输入两端的电压信号的样本。随后,逻辑电路842(或非隔离级804的部件)可基于ADC电路样本来确定控制电路的状态或配置。
在一种形式中,器械接口电路840可包括第一数据电路接口846,以实现逻辑电路842(或器械接口电路840的其他元件)与设置于外科器械中的或换句话讲与外科器械相联的第一数据电路之间的信息交换。在某些形式中,例如,第一数据电路可设置在整体地附接到外科器械手持件的缆线中,或设置在以用于使特定的外科器械类型或型号与发生器800交接的适配器中。第一数据电路可以任何合适的方式实现并且可根据包括例如本文关于第一数据电路所述的任何合适的协议与发生器通信。在某些形式中,第一数据电路可包括非易失性存储装置,诸如EEPROM装置。在某些形式中,第一数据电路接口846可与逻辑电路842分开实现并且包括合适的电路(例如,分立的逻辑装置、处理器),以实现逻辑电路842与第一数据电路之间的通信。在其他形式中,第一数据电路接口846可与逻辑电路842成为整体。
在某些形式中,第一数据电路可存储与相关联的特定外科器械相关的信息。此类信息可包括例如型号、序列号、其中已使用外科器械的多个操作、和/或任何其它类型的信息。该信息可被器械接口电路840(例如,由逻辑电路842)读取、被传输至非隔离级804的部件(例如,传输至逻辑装置816、DSP处理器822和/或UI处理器836),以用于经由输出装置呈现给用户和/或用于控制发生器800的功能或操作。另外,任何类型的信息均可经由第一数据电路接口846(例如,使用逻辑电路842)被传送到第一数据电路以存储于其中。此类信息可包括例如使用外科器械的操作的更新数量和/或其使用的日期和/或时间。
如此前所讨论,外科器械可从手持件拆卸(例如,多功能外科器械可从手持件拆卸)以促进器械可互换性和/或可处置性。在此类情形中,常规发生器的识别所使用特定器械构型和相应地优化控制和诊断过程的能力可受限。然而,从兼容性角度来看,通过对外科器械添加可读数据电路来解决此问题是有问题的。例如,设计外科器械来保持与缺少必备数据读取功能的发生器的向后兼容可能由于例如不同的信号方案、设计复杂性和成本而不切实际。本文所讨论器械的形式通过使用数据电路来解决这些问题,这些数据电路可经济地实现于现有外科器械中并具有最小的设计变化,以保持外科器械与电流发生器平台的兼容性。
另外,发生器800的形式可实现与基于器械的数据电路的通信。例如,发生器800可被配置为与包含在器械(例如,多功能外科器械)中的第二数据电路进行通信。在一些形式中,第二数据电路可以类似于本文所述的第一数据电路的方式实现。器械接口电路840可包括用于实现该通信的第二数据电路接口848。在一种形式中,第二数据电路接口848可包括三态数字接口,但也可使用其他接口。在某些形式中,第二数据电路通常可为用于传输和/或接收数据的任何电路。在一种形式中,例如第二数据电路可存储与相关联的特定外科器械相关的信息。此类信息可包括例如型号、序列号、其中已使用外科器械的多个操作、和/或任何其它类型的信息。
在一些形式中,第二数据电路可存储关于相关联的超声换能器、端部执行器或超声驱动系统的电性能和/或超声性能的信息。例如,第一数据电路可指示老化频率斜率,如本文所述。附加地或另选地,任何类型的信息均可经由第二数据电路接口848(例如,使用逻辑电路842)被传送到第二数据电路以存储于其中。此类信息例如可包括其中使用外科器械的操作的更新数量和/或其使用的日期和/或时间。在某些形式中,第二数据电路可传输由一个或多个传感器(例如,基于器械的温度传感器)采集的数据。在某些形式中,第二数据电路可从发生器800接收数据并基于所接收的数据向用户提供指示(例如,发光二极管指示或其他可视指示)。
在某些形式中,第二数据电路和第二数据电路接口848可被配置为使得可实现逻辑电路842与第二数据电路之间的通信而无需提供用于此目的的附加导体(例如,将手持件连接到发生器800的缆线的专用导体)。在一种形式中,例如,可使用实现于现有缆线上的单总线通信方案(诸如用于将询问信号从信号调节电路844传输到手持件中的控制电路的导体中的一者)而将信息传送到第二数据电路并从第二数据电路传送信息。这样,可最小化或减少原本可能必要的外科器械的设计变化或修改。此外,因为在共用物理通道上实现的不同类型的通信可为频带分离的,因此存在第二数据电路对于不具有必备数据读取功能的发生器而言可为“隐形的”,因此实现外科器械的向后兼容性。
在某些形式中,隔离级802可包括至少一个阻挡电容器850-1,该至少一个阻挡电容器连接到驱动信号输出810b以防止DC电流流向患者。例如,可要求信号阻挡电容器符合医疗规则或标准。尽管相对而言单电容器设计中很少出现故障,然而此类故障可造成不良后果。在一种形式中,可设置有与阻挡电容器850-1串联的第二阻挡电容器850-2,其中例如通过ADC电路852来监测从阻挡电容器850-1与850-2之间的点发生的电流渗漏,以用于对由泄漏电流感生的电压进行采样。这些样本例如可由逻辑电路842接收。基于泄漏电流的变化(如电压样本所指示),发生器800可确定阻塞电容器850-1、850-2中的至少一个何时发生故障,从而提供优于具有单个故障点的单电容器设计的益处。
在某些形式中,非隔离级804可包括功率源854,其用于在适当的电压和电流下递送DC功率。该功率源可包括例如400W的功率源,以用于输出48VDC的系统电压。功率源854还可包括一个或多个DC/DC电压转换器856,其用于接收功率源的输出以在发生器800的各种部件所需的电压和电流下生成DC输出。如以上结合控制器838所讨论,当由控制器838检测到用户“接通/断开”输入装置的启动以实现DC/DC电压转换器856的操作或唤醒该DC/DC电压转换器时,DC/DC电压转换器856中的一个或多个可从控制器838接收输入。
图21示出了发生器900的示例,该发生器是发生器800(图20)的一种形式。发生器900被配置为将多个能量模态递送至外科器械。发生器900提供用于独立地或同时将能量递送至外科器械的RF信号和超声信号。RF信号和超声信号可单独或组合提供,并且可同时提供。如上所述,至少一个发生器输出可通过单个端口递送多种能量模态(例如,超声、双极或单极RF、不可逆和/或可逆电穿孔和/或微波能量等等),并且这些信号可分开或同时被递送到端部执行器以处理组织。
发生器900包括耦接到波形发生器904的处理器902。处理器902和波形发生器904被配置为基于存储在耦接到处理器902的存储器中的信息来生成各种信号波形,为了本公开清楚起见而未示出该存储器。与波形相关联的数字信息被提供给波形发生器904,该波形发生器904包括一个或多个DAC电路以将数字输入转换成模拟输出。模拟输出被馈送到放大器1106用于信号调节和放大。放大器906的经调节和放大的输出耦接到电力变压器908。信号通过电力变压器908耦接到患者隔离侧中的次级侧。第一能量模态的第一信号被提供给被标记为ENERGY1和RETURN的端子之间的外科器械。第二能量模态的第二信号耦接在电容器910两端并被提供给被标记为ENERGY2和RETURN的端子之间的外科器械。应当理解,可输出超过两种能量模态,并且因此下标“n”可被用来指定可提供多至n个ENERGYn端子,其中n是大于1的正整数。还应当理解,在不脱离本公开的范围的情况下,可提供多至“n”个返回路径RETURNn。
第一电压感测电路912耦接在被标记为ENERGY1的端子和RETURN路径的两端,以测量其间的输出电压。第二电压感测电路924耦接在被标记为ENERGY2的端子和RETURN路径两端,以测量其间的输出电压。如图所示,电流感测电路914与电力变压器908的次级侧的RETURN支路串联设置,以测量任一能量模态的输出电流。如果为每种能量模态提供不同的返回路径,则应在每个返回支路中提供单独的电流感测电路。第一电压感测电路912和第二电压感测电路924的输出被提供给相应的隔离变压器916、922,并且电流感测电路914的输出被提供给另一隔离变压器918。电力变压器908(非患者隔离侧)的初级侧上的隔离变压器916、928、922的输出被提供给一个或多个ADC电路926。ADC电路926的数字化输出被提供给处理器902用于进一步处理和计算。可采用输出电压和输出电流反馈信息来调整提供给外科器械的输出电压和电流,并且计算输出阻抗等参数。处理器902与患者隔离电路之间的输入/输出通信通过接口电路920提供。传感器也可通过接口920与处理器902电气通信。
在一个方面,阻抗可由处理器902通过将耦接在被标记为ENERGY1/RETURN的端子两端的第一电压感测电路912或耦接在被标记为ENERGY2/RETURN的端子两端的第二电压感测电路924的输出除以与电力变压器908的次级侧的RETURN支路串联设置的电流感测电路914的输出来确定。第一电压感测电路912和第二电压感测电路924的输出被提供给单独的隔离变压器916、922,并且电流感测电路914的输出被提供给另一隔离变压器916。来自ADC电路926的数字化电压和电流感测测量值被提供给处理器902以用于计算阻抗。例如,第一能量模态ENERGY1可以是超声能量,并且第二能量模态ENERGY2可以是RF能量。然而,除了超声和双极或单极RF能量模态之外,其它能量模态还包括不可逆和/或可逆电穿孔和/或微波能量等。而且,尽管图21所示的示例示出了可为两种或更多种能量模态提供单个返回路径RETURN,但是在其他方面,可为每种能量模态ENERGYn提供多个返回路径RETURNn。因此,如本文所述,超声换能器阻抗可通过将第一电压感测电路912的输出除以电流感测电路914的输出来测量,并且组织阻抗可通过将第二电压感测电路924的输出除以电流感测电路914的输出来测量。
如图21中所示,包括至少一个输出端口的发生器900可包括具有单个输出和多个分接头的电力变压器908,以例如根据正在执行的组织处理类型以一种或多种能量模态(诸如超声、双极或单极RF、不可逆和/或可逆电穿孔和/或微波能量等等)的形式向端部执行器提供功率。例如,发生器900可用较高电压和较低电流递送能量以驱动超声换能器,用较低电压和较高电流递送能量以驱动RF电极以用于密封组织,或者用凝固波形递送能量以用于使用单极或双极RF电外科电极。来自发生器900的输出波形可被操纵、切换或滤波,以向外科器械的端部执行器提供频率。超声换能器与发生器900输出的连接将优选地位于被标记为ENERGY1与RETURN的输出端之间,如图21所示。在一个示例中,RF双极电极与发生器900输出的连接将优选地位于被标记为ENERGY2与RETURN的输出端之间。在单极输出的情况下,优选的连接将是ENERGY2输出端的有源电极(例如,铅笔或其他探头)以及连接至RETURN输出端的合适的返回垫。
附加细节公开于2017年3月30日公布的标题为“TECHNIQUES FOR OPERATINGGENERATOR FOR DIGITALLY GENERATING ELECTRICAL SIGNAL WAVEFORMS AND SURGICALINSTRUMENTS”的美国专利申请公布2017/0086914中,该专利申请全文以引用方式并入本文。
如本说明书通篇所用,术语“无线”及其衍生物可用于描述可通过使用经调制的电磁辐射通过非固体介质来传送数据的电路、装置、系统、方法、技术、通信信道等。该术语并不意味着相关联的组织不包含任何电线,尽管在一些方面它们可能不包含。通信模块可实现多种无线或有线通信标准或协议中的任一种,包括但不限于Wi-Fi(IEEE 802.11系列)、WiMAX(IEEE 802.16系列)、IEEE 802.20、长期演进(LTE)、Ev-DO、HSPA+、HSDPA+、HSUPA+、EDGE、GSM、GPRS、CDMA、TDMA、DECT、蓝牙、及其以太网衍生物、以及被指定为3G、4G、5G和以上的任何其它无线和有线协议计算模块可包括多个通信模块。例如,第一通信模块可专用于较短距离的无线通信诸如Wi-Fi和蓝牙,并且第二通信模块可专用于较长距离的无线通信诸如GPS、EDGE、GPRS、CDMA、WiMAX、LTE、Ev-DO等。
如本文所用,处理器或处理单元是对一些外部数据源(通常为存储器或一些其它数据流)执行操作的电子电路。本文所用术语是指组合多个专门的“处理器”的一个或多个系统(尤其是片上系统(SoC))中的中央处理器(中央处理单元)。
如本文所用,片上系统或芯片上系统(SoC或SOC)为集成了计算机或其它电子系统的所有部件的集成电路(也被称为“IC”或“芯片”)。它可以包含数字、模拟、混合信号以及通常射频功能—全部在单个基板上。SoC将微控制器(或微处理器)与高级外围装置如图形处理单元(GPU)、Wi-Fi模块或协处理器集成。SoC可以包含或可不包含内置存储器。
如本文所用,微控制器或控制器为将微处理器与外围电路和存储器集成的系统。微控制器(或微控制器单元的MCU)可被实现为单个集成电路上的小型计算机。其可类似于SoC;SoC可包括作为其部件之一的微控制器。微控制器可包含一个或多个核心处理单元(CPU)以及存储器和可编程输入/输出外围装置。以铁电RAM、NOR闪存或OTP ROM形式的程序存储器以及少量RAM也经常包括在芯片上。与个人计算机或由各种分立芯片组成的其它通用应用中使用的微处理器相比,微控制器可用于嵌入式应用。
如本文所用,术语控制器或微控制器可为与外围装置交接的独立式IC或芯片装置。这可为计算机的两个部件或用于管理该装置的操作(以及与该装置的连接)的外部装置上的控制器之间的链路。
如本文所述的处理器或微控制器中的任一者可为任何单核或多核处理器,诸如由Texas Instruments提供的商品名为ARM Cortex的那些。在一个方面,处理器可为例如购自Texas Instruments的LM4F230H5QR ARM Cortex-M4F处理器内核,其包括:256KB的单循环闪存或其它非易失性存储器(最多至40MHZ)的片上存储器、用于使性能改善超过40MHz的预取缓冲器、32KB的单循环串行随机存取存储器(SRAM)、装载有软件的内部只读存储器(ROM)、2KB的电可擦除可编程只读存储器(EEPROM)、一个或多个脉宽调制(PWM)模块、一个或多个正交编码器输入(QEI)模拟、具有12个模拟输入信道的一个或多个12位模数转换器(ADC)、以及易得的其它特征。
在一个示例中,处理器可包括安全控制器,该安全控制器包括两个基于控制器的系列,诸如同样由Texas Instruments提供的商品名为Hercules ARM Cortex R4的TMS570和RM4x。安全控制器可被配置为专门用于IEC 61508和ISO 26262安全关键应用等等,以提供先进的集成安全特征件,同时递送可定标的性能、连接性和存储器选项。
模块化装置包括可容纳在外科集线器内的模块(如结合图3和图9所述)和外科装置或器械,该外科装置或器械可连接到各种模块以便与对应的外科集线器连接或配对。模块化装置包括例如智能外科器械、医疗成像装置、抽吸/冲洗装置、排烟器、能量发生器、呼吸机、吹入器和显示器。本文所述的模块化装置可通过控制算法来控制。控制算法可在模块化装置自身上、在与特定模块化装置配对的外科集线器上或在模块化装置和外科集线器两者上执行(例如,经由分布式计算架构)。在一些示例中,模块化装置的控制算法基于由模块化装置自身感测到的数据来控制装置(即,通过模块化设备之中、之上或连接到模块化装置的传感器)。该数据可与正在手术的患者(例如,组织特性或吹入压力)或模块化装置本身相关(例如,刀被推进的速率、马达电流或能量水平)。例如,外科缝合和切割器械的控制算法可根据刀在其前进时遇到的阻力来控制器械的马达驱动其刀穿过组织的速率。
可视化系统
在外科手术期间,可能需要外科医生对组织进行操纵以实现期望的医学结果。外科医生的动作受到外科部位中可在视觉上观察到的限制。因此,外科医生可能不知道例如在手术期间位于被操纵的组织下面的血管结构的布置。因为外科医生不能可视化外科部位下方的脉管系统,因此外科医生在手术期间可能会意外切断一个或多个关键血管。该解决方案为外科可视化系统,该外科可视化系统可采集外科部位的成像数据以呈现给外科医生,在这些成像数据中,呈现可包括与位于外科部位的表面下方的血管结构的存在和深度相关的信息。
在一个方面,外科集线器106并入可视化系统108以在外科手术期间采集成像数据。可视化系统108可包括一个或多个照射源和一个或多个光传感器。该一个或多个照射源和该一个或多个光传感器可一起并入到单个装置中,或者可包括一个或多个单独装置。一个或多个照射源可被引导以照射外科场地的多部分。该一个或多个光传感器可接收从外科场地反射或折射的光,包括从组织和/或外科器械反射或折射的光。以下描述包括以上所公开的以及以上呈现的以引用方式并入本文的那些应用中的所有硬件和软件处理技术。
在一些方面,可视化系统108可集成到如以上所公开的以及在图1和图2中所描绘的外科系统100中。除了可视化系统108之外,外科系统100还可包括一个或多个手持式智能器械112、多功能机器人系统110、一个或多个可视化系统108和集中式外科集线器系统106等等部件。集中式外科集线器系统106可控制以上所公开的并且也在图3中描绘的若干功能。在一个非限制性示例中,此类功能可包括向任何数量的电动外科装置提供并控制电力。在另一个非限制性示例中,此类功能可包括控制提供给外科部位和从外科部位排出的流体。集中式外科集线器系统106还可被配置为管理和分析从外科系统部件中的任一个接收的数据,以及在外科系统的部件之中和之间传送数据和其他信息。集中式外科集线器系统106还可与云计算系统104进行数据通信,如以上所公开和例如图1所描绘。
在一些非限制性示例中,由可视化系统108生成的成像数据可由可视化系统108的板载计算部件分析,并且分析结果可被传送到集中式外科集线器106。在另选的非限制性示例中,由可视化系统108生成的成像数据可直接被传送到集中式外科集线器106,其中数据可由集线器系统106中的计算部件分析。集中式外科集线器106可将图像分析结果传送到外科系统的其它部件中的任一个或多个。在一些其他非限制性示例中,集中式外科集线器可将图像数据和/或图像分析结果传送到云计算系统104。
图22A-D和图23A-F描绘了可并入到外科系统中的可视化系统2108的一个示例的各个方面。可视化系统2108可包括成像控制单元2002和手持单元2020。成像控制单元2002可包括一个或多个照射源、用于该一个或多个照射源的功率源、一种或多种类型的数据通信接口(包括USB、以太网或无线接口2004)以及一个或多个视频输出2006。成像控制单元2002还可包括被配置为将集成视频和图像捕获数据传输到启用USB的装置的接口,诸如USB接口2010。成像控制单元2002还可包括一个或多个计算部件,包括但不限于处理器单元、暂态存储器单元、非暂态存储器单元、图像处理单元、用于在计算部件之中形成数据链路的总线结构,以及从未包括在成像控制单元中的部件接收信息并向这些部件传输信息所必需的任何接口(例如,输入和/或输出)装置。非暂态存储器还可包含指令,这些指令在由处理器单元执行时可执行可从手持单元2020和/或不包括在成像控制单元中的计算装置接收的数据的任何数量的操纵。
照射源可包括白光源2012和一个或多个激光源。成像控制单元2002可包括用于与手持单元2020光学通信和/或电通信的一个或多个光学接口和/或电接口。作为非限制性示例,该一个或多个激光源可包括红色激光源、绿色激光源、蓝色激光源、红外激光源和紫外激光源中的任一个或多个。在一些非限制性示例中,红色激光源可提供峰值波长可在635nm和660nm之间的范围内的照射,该范围包括端值在内。红色激光的峰值波长的非限制性示例可包括约635nm、约640nm、约645nm、约650nm、约655nm、约660nm或其间的任何值或值的范围。在一些非限制性示例中,绿色激光源可提供峰值波长可在520nm和532nm之间的范围内的照射,该范围包括端值在内。绿色激光的峰值波长的非限制性示例可包括约520nm、约522nm、约524nm、约526nm、约528nm、约530nm、约532nm或其间的任何值或值的范围。在一些非限制性示例中,蓝色激光源可提供峰值波长可在405nm和445nm之间的范围内的照射,该范围包括端值在内。蓝色激光的峰值波长的非限制性示例可包括约405nm、约410nm、约415nm、约420nm、约425nm、约430nm、约435nm、约440nm、约445nm或其间的任何值或值的范围。在一些非限制性示例中,红外激光源可提供峰值波长可在750nm和3000nm之间的范围内的照射,该范围包括端值在内。红外激光的峰值波长的非限制性示例可包括约750nm、约1000nm、约1250nm、约1500nm、约1750nm、约2000nm、约2250nm、约2500nm、约2750nm、3000nm或其间的任何值或值的范围。在一些非限制性示例中,紫外激光源可提供峰值波长可在200nm和360nm之间的范围内的照射,该范围包括端值在内。紫外激光的峰值波长的非限制性示例可包括约200nm、约220nm、约240nm、约260nm、约280nm、约300nm、约320nm、约340nm、约360nm或其间的任何值或值的范围。
在一个非限制性方面,手持单元2020可包括主体2021、附接到主体2021的相机镜缆线2015和细长相机探头2024。手持单元2020的主体2021可包括手持单元控制按钮2022或其他控件以允许健康专业人员使用手持单元2020来控制手持单元2020或成像控制单元2002的其他部件(包括例如光源)的操作。相机镜缆线2015可包括一个或多个电导体和一个或多个光纤。相机镜缆线2015可与相机头部连接器2008终止于近侧端部,在该近侧端部中,相机头部连接器2008被配置为与成像控制单元2002的该一个或多个光学接口和/或电接口配合。电导体可向手持单元2020(包括主体2021和细长相机探头2024)和/或手持单元2020内部的任何电子部件(包括主体2021和/或细长相机探头2024)供电。电导体也可用于在手持单元2020与成像控制单元2002的任一个或多个部件之间提供双向数据通信。该一个或多个光纤可将照射从成像控制单元2002中的该一个或多个照射源通过手持单元主体2021并且传导到细长相机探头2024的远侧端部。在一些非限制性方面,该一个或多个光纤还可将从外科部位反射或折射的光传导到设置在细长相机探头2024、手持单元主体2021和/或成像控制单元2002中的一个或多个光学传感器。
图22B(顶部平面图)更详细地描绘了可视化系统2108的手持单元2020的一些方面。手持单元主体2021可由塑性材料构造。手持单元控制按钮2022或其他控件可具有橡胶包覆成型以保护控件,同时允许外科医生操纵这些控件。相机镜缆线2015可具有与电导体集成的光纤,并且相机镜缆线2015可具有保护性和柔性外覆层,诸如PVC。在一些非限制性示例中,相机镜缆线2015可为约10英尺长以允许在外科手术期间的易用性。相机镜缆线2015的长度可在约5英尺至约15英尺的范围内。相机镜缆线2015的长度的非限制性示例可为约5英尺、约6英尺、约7英尺、约8英尺、约9英尺、约10英尺、约11英尺、约12英尺、约13英尺、约14英尺、约15英尺或其间的任何长度或长度范围。细长相机探头2024可由刚性材料诸如不锈钢制成。在一些方面,细长相机探头2024可经由可旋转套环2026与手持单元主体2021接合。可旋转套环2026可允许细长相机探头2024相对于手持单元主体2021旋转。在一些方面,细长相机探头2024可与用环氧树脂密封的塑料窗口2028终止于远侧端部。
图22C所描绘的手持单元的侧平面视图示出了光或图像传感器2030可设置在细长相机探头的远侧端部2032a或设置在手持单元主体2032b内。在一些另选的方面,光或图像传感器2030可与成像控制单元2002中的附加光学元件一起设置。图22C还描绘了光传感器2030的示例,该光传感器包括设置在半径为约4mm的安装架2036内的CMOS图像传感器2034。图22D示出了CMOS图像传感器2034的各方面,其描绘了图像传感器的有效区域2038。尽管图22C中的CMOS图像传感器被描绘为设置在半径为约4mm的安装架2036内,但是可以认识到,此类传感器和安装架组合可具有任何可用的大小以设置在细长相机探头2024、手持单元主体2021内或设置在图像控制单元2002中。此类另选安装架的一些非限制性示例可包括5.5mm安装架2136a、4mm安装架2136b、2.7mm安装架2136c和2mm安装架2136d。可以认识到,图像传感器还可包括CCD图像传感器。CMOS或CCD传感器可包括单独光感测元件(像素)的阵列。
图23A至图23F描绘了可并入到可视化系统2108中的照射源及其控件的一些示例的各个方面。
图23A示出了具有发射多个电磁能量波长的多个激光束的激光照射系统的方面。如在图中可见,照射系统2700可包括均通过光纤2755光学耦接在一起的红色激光束2720、绿色激光束2730和蓝色激光束2740。如在图中可见,激光束中的每个激光束可分别具有对应的光感测元件或电磁传感器2725、2735、2745,以用于感测特定激光束或波长的输出。
关于图23A所描绘的用于外科可视化系统2108的激光照射系统的附加公开内容可见于2014年3月15日提交的标题为“CONTROLLING THE INTEGRAL LIGHT ENERGY OF ALASER PULSE”的美国专利申请公布2014/0268860,该专利申请于2017年10月3日以美国专利9,777,913公布,该专利申请的内容全文以引用方式并入本文以用于所有目的。
图23B示出了在滚动读出模式下使用的传感器的操作循环。应当理解,x方向对应于时间,并且对角线2202指示读出每个数据帧的内部指针的活动,一次一行。同一指针负责针对下一个暴露周期重置每行像素。针对每行2219a-c的净积聚时间是相等的,但是由于滚动重置和读取过程,它们相对于彼此在时间上交错。因此,针对其中需要相邻帧来表示光的不同构造的任何场景,用于使每行一致的唯一选项是在读出循环2230a-c之间使光脉冲。更具体地,最大可用周期对应于消隐时间加上在帧的开始或结束时为光学黑色行或光学盲(OB)行(2218、2220)提供服务的任何时间的总和。
图23B示出了在滚动读出模式下或在传感器读出2200期间使用的传感器的操作循环。帧读出可在竖直线2210处开始并且可由该垂直线表示。读出周期由对角线或斜线2202表示。传感器可逐行读出,向下倾斜边缘的顶部为传感器顶行2212,并且向下倾斜边缘的底部为传感器底行2214。最后一行读出与下一个读出循环之间的时间可称为消隐时间2216a-d。应当理解,消隐时间2216a-d可在成功读出循环之间相同,或者其可在成功读出循环之间不同。应当指出,传感器像素行中的一些可覆盖有光屏蔽件(例如,金属涂层或另一种材料类型的任何其它大体上黑色的层)。这些被覆盖的像素行可被称为光学黑色行2218和2220。光学黑色行2218和2220可用作校正算法的输入。
如图23B所示,这些光学黑色行2218和2220可位于像素阵列的顶部上或像素阵列的底部或像素阵列的顶部和底部。在一些方面,可能期望控制暴露于像素的电磁辐射(例如光)的量,从而由像素集成或累积。应当理解,光子是电磁辐射的基本粒子。光子被每个像素集成、吸收或累积并转换为电荷或电流。在一些方面,电子快门或卷帘快门可用于通过重置像素来开始积聚时间(2219a-c)。然后光将集成直到下一读出阶段为止。在一些方面,电子快门的位置可在两个读出循环2202之间移动,以便控制给定光的量的像素饱和度。在缺少电子快门的一些另选方面中,入射光的积聚时间2219a-c可在第一读出循环2202期间开始,并且可在下一个读出循环2202处结束,该下一个读出循环也限定了下一个积聚的开始。在一些另选的方面,可通过消隐时间2216a-d期间对光进行脉冲的时间2230a-d来控制每个像素累积的光的量。这确保所有行均看到从相同光脉冲2230a-c发出的相同光。换句话讲,每行将开始其在第一暗环境2231中的积聚,该第一暗环境可在读出帧(m)的光学黑色后行2220处具有最大光脉冲宽度,并且然后将接收光选通并且将结束其在第二暗环境2232中的积聚,该第二暗环境可在下一个后续读出帧(m+1)的光学黑色前行2218处具有最大光脉冲宽度。因此,由光脉冲2230a-c生成的图像将仅在帧(m+1)读出期间可用,而不会干扰帧(m)和帧(m+2)。
应当指出的是,使光脉冲2230a-c仅在一个帧中读出并且不干扰相邻帧的条件是在消隐时间2216期间击发给定的光脉冲2230a-c。因为光学黑色行2218、2220对光不敏感,因此可将帧(m)的光学黑色后行2220时间和帧(m+1)的光学黑色前行2218时间添加至消隐时间2216,以确定光脉冲2230的击发时间的最大范围。
在一些方面,图23B描绘了由常规CMOS传感器进行的顺序帧捕获的时序图的示例。此类CMOS传感器可并入拜耳滤色器图案,如图23C所描绘。已经认识到,拜耳图案提供比色度更大的亮度细节。还可认识到,传感器具有降低的空间分辨率,因为需要总共4个相邻像素来产生图像的聚集空间部分的颜色信息。在另选的方法中,彩色图像可通过用具有不同中心光波长的各种光源(激光或发光二极管)高速快速地选通可视化区域来构造。
光学选通系统可处于相机系统的控制下,并且可包括专门设计的具有高速读出的CMOS传感器。主要有益效果是,与常规拜耳或3-传感器相机相比,该传感器可用显著更少的像素来实现相同的空间分辨率。因此,可减小由像素阵列占据的物理空间。实际脉冲周期(2230a-c)可在重复图案内不同,如图23B所示。这可用于例如将更长的时间分配给需要更大光能的部件或具有更弱光源的部件。只要所捕获的平均帧速率是必需的最终系统帧速率的整数倍,该数据就可根据需要简单地在信号处理链中缓冲。
通过组合所有这些方法将CMOS传感器芯片面积降低到允许程度的设施对于小直径(约3至10mm)内窥镜特别有吸引力。具体地讲,其允许其中传感器位于空间受限的远侧端部中的内窥镜设计,从而大大降低光学区段的复杂性和成本,同时提供高清晰度视频。该方法的结果是,为了重建每个最终的全彩图像,需要及时从三个单独的快照融合数据。场景内相对于内窥镜的光学参照系的任何运动通常将降低感知分辨率,因为对象的边缘出现在每个所捕获的部件内的略微不同的位置处。在本公开中,描述了减少该问题的装置,其利用了空间分辨率对于亮度信息比对于色度更重要的事实。
该方法的基础是,代替在每个帧期间击发单色光,使用三个波长的组合来提供单个图像内的所有亮度信息。色度信息来源于具有例如重复图案诸如Y-Cb-Y-Cr(图23D)的单独帧。虽然可以通过精巧地选择脉冲比来提供纯亮度数据,但色度却并非如此。
在一个方面,如图23D所示,内窥镜式系统2300a可包括具有均匀像素的像素阵列2302a,并且系统2300a可被操作以接收Y(亮度脉冲)2304a、Cb(ChromaBlue)2306a和Cr(ChromaRed)2308a脉冲。
为了完成全彩图像,需要也提供两个色度分量。然而,应用于亮度的相同算法不能直接应用于色度图像,因为它是带符号的,如一些RGB系数为负的事实中所反映的。对此的解决方案为添加足够量级的亮度,使得所有最终脉冲能量变为正。只要ISP中的颜色融合过程知道色度帧的组成,它们就可通过从相邻帧中减去适当量的亮度来解码。脉冲能量比例由下式给出:
Y=0.183·R+0.614·G+0.062·B
Cb=λ·Y-0.101·R-0.339·G+0.439·B
Cr=δ·Y+0.439·R-0.399·G-0.040·B
其中
λ≥0.399/0.614=0.552
δ≥0.399/0.614=0.650
结果表明,如果λ因子等于0.552;则红色分量和绿色分量两者均精确地被消除,在这种情况下,Cb信息可设置有纯蓝光。类似地,设定δ=0.650消除了Cr的蓝色分量和绿色分量,Cr变为纯红色。该特定示例在图23E中示出,该图还将λ和δ描绘为1/28的整数倍。这是数字帧重建的方便近似值。
就Y-Cb-Y-Cr脉冲方案而言,图像数据已经在颜色融合之后的YCbCr空间中。因此,在这种情况下,在转换回线性RGB以执行颜色校正等之前,预先执行基于亮度和色度的操作是有意义的。
颜色融合过程比拜耳图案(参见图23C)所必需的去马赛克更简单,因为不存在空间插值。但这确实需要帧的缓冲,以便使每个像素的所有必要信息可用。在一个总体方面,用于Y-Cb-Y-Cr图案的数据可以流水线化,以每两个原始捕获图像产生一个全彩图像。这通过使用每个色度样本两次来实现。在图23F中描绘了提供60Hz最终视频的120Hz帧捕获速率的具体示例。
关于如图23B至图23F所描绘的用于外科可视化系统108的照射系统的激光部件的控制的附加公开内容可见于2013年7月26日提交的标题为“YCBCR PULSED ILLUMINATIONSCHEME IN A LIGHT DEFICIENT ENVIRONMENT”的美国专利申请公布2014/0160318,该专利申请于2016年12月6日以美国专利9,516,239公布,以及2013年7月26日提交的标题为“CONTINUOUS VIDEO IN A LIGHT DEFICIENT ENVIRONMENT”的美国专利申请公布2014/0160319,该专利申请于2017年8月22日以美国专利9,743,016公布,这些专利申请的内容全文以引用方式并入本文以用于所有目的。
表面下血管成像
在外科手术期间,可能需要外科医生对组织进行操纵以实现期望的医学结果。外科医生的动作受到外科部位中可在视觉上观察到的限制。因此,外科医生可能不知道例如在手术期间位于被操纵的组织下面的血管结构的布置。
因为外科医生不能可视化外科部位下方的脉管系统,因此外科医生在手术期间可能会意外切断一个或多个关键血管。
因此,期望具有可采集外科部位的成像数据以呈现给外科医生的外科可视化系统,在这些成像数据中,呈现可包括与位于外科部位的表面下方的血管结构的存在相关的信息。
本公开的一些方面还提供了控制电路,该控制电路被配置为使用一个或多个照射源诸如激光源来控制外科部位的照射,以及从一个或多个图像传感器接收成像数据。在一些方面,本公开提供了存储计算机可读指令的非暂态计算机可读介质,这些计算机可读指令在被执行时致使得装置检测组织中的血管并确定其在组织表面下方的深度。
在一些方面,外科图像采集系统可包括:多个照射源,其中每个照射源被配置为发射具有指定中心波长的光;光传感器,该光传感器被配置为当组织样本被该多个照射源中的一个或多个照射源照射时接收光的从组织样本反射的部分;以及计算系统。该计算系统可被配置为:当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据;基于当组织样本被该多个照射源中的每个照射源照射时由该光传感器接收的数据来确定组织样本内的结构的深度位置,以及计算关于该结构和该结构的深度位置的可视化数据。在一些方面,该可视化数据可具有可由显示系统使用的数据格式,并且该结构可包括一个或多个血管组织。
使用NIR光谱法的血管成像
在一个方面,外科图像采集系统可包括照射源的独立颜色级联,该照射源包括可见光和在可见范围之外的光,以在不同时间和不同深度处对外科部位内的一个或多个组织进行成像。外科图像采集系统还可检测或计算从外科部位反射和/或折射的光的特性。光的特性可用于提供外科部位内的组织的复合图像,以及提供对在外科部位的表面处不直接可见的下层组织的分析。外科图像采集系统可在不需要单独的测量装置的情况下确定组织深度位置。
在一个方面,从外科部位反射和/或折射的光的特性可为一个或多个波长的光的吸光度的量。各个组织的各种化学组分可导致波长相关的特定光吸收图案。
在一个方面,照射源可包括红色激光源和近红外激光源,其中待成像的该一个或多个组织可包括血管组织,诸如静脉或动脉。在一些方面,红色激光源(在可见范围内)可用于基于可见红色范围内的光谱法对下层血管组织的一些方面进行成像。在一些非限制性示例中,红色激光源可提供峰值波长可在635nm和660nm之间的范围内的照射,该范围包括端值在内。红色激光的峰值波长的非限制性示例可包括约635nm、约640nm、约645nm、约650nm、约655nm、约660nm或其间的任何值或值的范围。在一些其他方面,近红外激光源可用于基于近红外光谱法对下层血管组织进行成像。在一些非限制性示例中,近红外激光源可发射波长可在750至3000nm之间的范围内的照射,该范围包括端值在内。红外激光的峰值波长的非限制性示例可包括约750nm、约1000nm、约1250nm、约1500nm、约1750nm、约2000nm、约2250nm、约2500nm、约2750nm、3000nm或其间的任何值或值的范围。可以认识到,可使用红色和红外光谱的组合探测下层血管组织。在一些示例中,可使用峰值波长在约660nm处的红色激光源和峰值波长在约750nm或在约850nm处的近IR激光源来探测血管组织。
近红外光谱法(NIRS)是非侵入性技术,其允许基于组织内氧合血红蛋白和脱氧血红蛋白的光谱光度定量来确定组织氧合。在一些方面,NIRS可用于基于血管组织与非血管组织之间的照射吸光度的差异来直接对血管组织进行成像。另选地,可在施加生理干预(诸如动脉闭塞方法和静脉闭塞方法)之前和之后基于组织中血流的照射吸光度的差异来间接可视化血管组织。
用于近红外(NIR)光谱的仪器可类似于用于UV可见和中IR范围的器械。此类光谱学器械可包括照射源、检测器和色散元件,以选择用于照射组织样本的特定近IR波长。在一些方面,源可包括白炽光源或石英卤素光源。在一些方面,检测器可包括半导体(例如,InGaAs)光电二极管或光电阵列。在一些方面,色散元件可包括棱镜或更常见地衍射光栅。使用干涉仪的傅里叶变换NIR器械也是常见的,尤其是对于大于约1000nm的波长。根据样本,可以反射或透射模式来测量光谱。
图24示意性地描绘了与用于NIR光谱的UV可见和中IR范围的器械类似的仪器2400的一个示例。光源2402可发射可投射到色散元件2406(诸如棱镜或衍射光栅)上的宽光谱范围的照射2404。色散元件2406可操作以选择由宽光谱光源2402发射的光的窄波长部分2408,并且所选择的光部分2408可照射组织2410。从组织2412反射的光可被引导到检测器2416(例如,使用二向色镜2414),并且可记录反射光2412的强度。照射组织2410的光波长可由色散元件2406选择。在一些方面,组织2410可仅由来自光源2402的色散元件2406选择的单个窄波长部分2408照射。在其他方面,可用由色散元件2406选择的各种窄波长部分2408扫描组织2410。这样,可在NIR波长范围内获取组织2410的光谱分析。
图25示意性地描绘了用于基于傅里叶变换红外成像确定NIRS的仪器2430的一个示例。在图25中,在近IR范围2434内发射2432光的激光源照射组织样本2440。由组织2440反射2436的光被反射镜(诸如,二向色镜2444)反射2442到分束器2446。分束器2446将由组织2440反射2436的光2448的一部分引导到静止反射镜2450,并且将由组织2440反射2436的光2452的一部分引导到移动反射镜2454。移动反射镜2454可基于由具有电压频率的正弦电压激活的附连压电换能器来在适当位置振荡。移动反射镜2454在空间中的位置对应于压电换能器的正弦激活电压的频率。从移动反射镜和静止反射镜反射的光可在分束器2446处重新组合2458并且被引导到检测器2456。计算部件可接收检测器2456的信号输出并且执行所接收信号的傅里叶变换(在时间上)。因为从移动反射镜2454接收的光波长相对于从静止反射镜2450接收的光波长在时间上变化,因此重新组合的光的基于时间的傅立叶变换对应于重新组合的光2458的基于波长的傅立叶变换。这样,可确定从组织2440反射的光的基于波长的光谱,并且可获取从组织2440反射2436的光的光谱特性。因此,来自从组织2440反射的光的光谱分量的照射的吸光度的变化可指示具有特定光吸收特性(诸如血红蛋白)的组织的存在与否。
确定血红蛋白氧合的近红外光的另选形式将是使用单色红光来确定血红蛋白的红光吸光度特性。血红蛋白对中心波长为约660nm的红光的吸光度特性可指示血红蛋白是被氧合(动脉血)还是被脱氧(静脉血)。
在一些另选的外科手术中,可使用造影剂来改善收集到的有关氧合和组织耗氧的数据。在一个非限制性示例中,NIRS技术可与峰值吸光度在约800nm处的近IR造影剂(诸如吲哚菁绿(ICG))的弹丸式注射结合使用。ICG已在一些医学规程中用于测量脑血流量。
使用激光多普勒血流仪的血管成像
在一个方面,从外科部位反射和/或折射的光特性可为来自其照射源的光波长的多普勒频移。
激光多普勒血流仪可用于可视化和表征相对于有效静止背景移动的粒子流。因此,由移动粒子(诸如血细胞)散射的激光可具有与原始照射激光源不同的波长。相比之下,由有效静止背景(例如,血管组织)散射的激光可具有与原始照射激光源相同的波长。来自血细胞的散射光的波长变化可反映血细胞相对于激光源的流动方向以及血细胞速度两者。图26A-C示出了从血细胞散射的光波长变化,该血细胞可能正远离(图26A)或朝向(图26C)激光源移动。
在图26A-C中的每个图中,原始照射光2502被描绘为相对中心波长为0。从图26A中可以观察到,从远离激光源2504移动的血细胞散射的光具有偏移一定量2506至相对于激光源更大波长的波长(并且因此被红移)。从图26C中还可以观察到,从朝向激光源2508移动的血细胞散射的光具有偏移一定量2510至相对于激光源更短波长的波长(并且因此被蓝移)。波长偏移的量(例如2506或2510)可取决于血细胞的运动速度。在一些方面,一些血细胞的红移(2506)的量可与一些其他血细胞的蓝移(2510)的量大致相同。另选地,一些血细胞的红移(2506)的量可与一些其他血细胞的蓝移(2510)的量不同。因此,基于波长偏移(2506和2510)的相对量值,如图26A所描绘的血细胞远离激光源流动的速度可小于如图26C所描绘的流向激光源的血细胞的速度。相比之下,并且如图26B所描绘,从不相对于激光源移动的组织(例如血管2512或非血管组织2514)散射的光可能不展示任何波长变化。
图27描绘了可用于检测从组织2540的部分散射的激光的多普勒频移的仪器2530的方面。源自激光器2532的光2534可穿过分束器2544。激光2536的一些部分可由分束器2544透射并且可照射组织2540。激光的另一部分可由分束器2544反射2546以投射在检测器2550上。由组织2540背向散射2542的光可由分束器2544引导并且还投射在检测器2550上。源自激光器2532的光2534与由组织2540背向散射的光2542的组合可导致由检测器2550检测到的干涉图案。由检测器2550接收的干涉图案可包括由源自激光器2532的光2534与从组织2540背向散射2452的多普勒频移(并且因此波长偏移)的光的组合产生的干涉条纹。
可以认识到,来自组织2540的背向散射光2542还可包括来自组织2540内的边界层的背向散射光和/或组织2540内的材料对特定于波长的光吸收。因此,在检测器2550处观察到的干涉图案可并入来自这些附加光学效应的干涉条纹特征,并且因此除非正确分析,否则可能混淆多普勒频移的计算。
图28描绘了这些附加光学效应中的一些。众所周知,穿过具有第一折射率n1的第一光学介质的光可在与具有第二折射率n2的第二光学介质的界面处被反射。透射穿过第二光学介质的光将具有相对于界面的透射角,该透射角基于折射率n1与n2之间的差值而不同于入射光的角度(斯涅尔定律)。图28示出了斯涅尔定律对投射在多组分组织2150的表面上的光的影响,如可在外科场地中呈现的。多组分组织2150可由具有折射率n1的外组织层2152和埋入式组织(诸如具有血管壁2156的血管)构成。血管壁2156的特征可在于折射率n2。血液可在血管2160的内腔内流动。在一些方面,可能重要的是,在外科手术期间确定血管2160在外组织层2152的表面2154下方的位置,并且使用多普勒频移技术来表征血流。
入射激光2170a可用于探测血管2160并且可被引导在外组织层2152的顶部表面2154上。入射激光2170a的一部分2172可在顶部表面2154处被反射。入射激光2170a的另一部分2170b可穿透外组织层2152。外组织层2152的顶部表面2154处的反射部分2172具有与入射光2170a相同的路径长度,并且因此具有与入射光2170a相同的波长和相位。然而,透射到外组织层2152中的光的部分2170b将具有与投射到组织表面上的光的入射角不同的透射角,因为外组织层2152具有与空气的折射率不同的折射率n1。
如果光的透射穿过外组织层2152的部分投射在例如血管壁2156的第二组织表面2158上,则光的一些部分2174a、b将朝入射光2170a反射回来。因此,在外组织层2152与血管壁2156之间的界面处反射的光2174a将具有与入射光2170a相同的波长,但由于光路径长度的变化而将发生相移。将来自外组织层2152与血管壁2156之间的界面的反射的光2174a、b连同入射光一起投射在传感器上将基于两个光源之间的相位差来产生干涉图案。
另外,入射光2170c的一部分可透射穿过血管壁2156并穿透到血管腔2160中。入射光2170c的该部分可与血管腔2160中移动的血细胞相互作用,并且可朝投射光源反射回2176a-c,该投射光源具有根据血细胞的速度频移的波长多普勒,如以上所公开。来自移动的血细胞反射的多普勒频移光2176a-c可连同入射光一起投射在传感器上,从而产生具有基于两个光源之间的波长差的条纹图案的干涉图案。
在图28中,如果在发射光与由移动的血细胞反射的光之间不存在折射率变化,则呈现投射在血管腔2160中的红细胞上的光的光路2178。在该示例中,仅可检测到反射光波长的多普勒频移。然而,除了由于多普勒效应引起的波长变化之外,由血细胞(2176a-c)反射的光还可并入由于组织折射率的变化引起的相位变化。
因此,应当理解,如果光传感器接收入射光、从一个或多个组织界面(2172和2174a、b)反射的光和来自血细胞(2176a-c)的多普勒频移光,则因此在光传感器上产生的干涉图案可包括由于多普勒频移引起的效应(波长变化)以及由于组织内的折射率变化引起的效应(相位变化)。因此,如果不补偿由于样本内的折射率变化引起的效应,则由组织样本反射的光的多普勒分析可能产生错误的结果。
图29示出了对投射2250在组织样本上的光的多普勒分析的效应的示例,以确定下层血管的深度和位置。如果血管与组织表面之间不存在居间组织,则在传感器处检测到的干涉图案可能主要是由于从移动的血细胞反射的波长变化。因此,来源于干涉图案的光谱2252通常可仅反映血细胞的多普勒频移。然而,如果在血管与组织表面之间存在居间组织,则在传感器处检测到的干涉图案可能是由于从移动的血细胞反射的波长变化和由于居间组织的折射率引起的相移的组合。来源于此类干涉图案的光谱2254可导致多普勒频移的计算,该多普勒频移的计算由于反射光中的附加相位变化而混淆。在一些方面,如果关于居间组织的特性(厚度和折射率)的信息是已知的,则可校正所得光谱2256以提供对波长变化的更准确的计算。
已经认识到,光的组织穿透深度取决于所用光的波长。因此,可选择激光源光波长以检测特定组织深度范围内的粒子运动(诸如血细胞)。图30A-C示意性地描绘了用于基于激光波长检测各种组织深度处的移动的粒子(诸如血细胞)的装置。如图30A所示,激光源2340可将入射激光束2342引导到外科部位的表面2344上。血管2346(诸如静脉或动脉)可以距组织表面某一深度δ设置在组织2348内。激光进入组织2348的穿透深度2350可至少部分地取决于激光波长。因此,波长在约635nm至约660nm的红色范围内的激光可穿透组织2351a至约1mm的深度。波长在约520nm至约532nm的绿色范围内的激光可穿透组织2351b至约2至3mm的深度。波长在约405nm至约445nm的蓝色范围内的激光可穿透组织2351c至约4mm或更深的深度。在图30A-C所描绘的示例中,血管2346可位于组织表面下方约2至3mm的深度δ处。红色激光将不会穿透到该深度,并且因此将不会检测在该血管内流动的血细胞。然而,绿色激光和蓝色激光两者均可穿透该深度。因此,来自血管2346内的血细胞的散射的绿色激光和蓝色激光可表现出波长的多普勒频移。
图30B示出了反射激光波长的多普勒频移2355可如何出现。投射在组织表面2344上的发射光(或激光源光2342)可具有中心波长2352。例如,来自绿色激光的光的中心波长2352可在约520nm至约532nm范围内。如果光从粒子诸如移动的远离检测器的红细胞反射,则反射绿光的中心波长2354可偏移到较长波长(红移)。发射激光的中心波长2352与发射激光的中心波长2354之间的差值包括多普勒频移2355。
如以上相对于图28和图29所公开的,从组织2348内的结构反射的激光还可示出由于由组织结构或组成的变化引起的折射率变化而引起的反射光的相移。投射到组织表面2344上的发射光(或激光源光2342)可具有第一相位特性2356。反射激光可具有第二相位特性2358。可以认识到,可穿透组织至约4mm或更深的深度2351c的蓝色激光可遇到比红色激光(约1mm2351a)或绿色激光(约2至3mm 2351b)更多种的组织结构。因此,如图30C所示,反射蓝色激光的相移2358可至少由于穿透深度而为显著的。
图30D示出了以顺序方式通过红色激光2360a、绿色激光2360b和蓝色激光2360c照射组织的方面。在一些方面,可以顺序方式通过红色激光照射2360a、绿色激光照射2360b和蓝色激光照射2360c探测组织。在一些另选示例中,红色激光2360a、绿色激光2360b和蓝色激光2360c的一种或多种组合(如图23D至图23F所描绘并且如以上所公开)可用于根据限定的照射序列照射组织。30D示出了此类照射随时间推移对CMOS成像传感器2362a-d的影响。因此,在第一时间t1,CMOS传感器2362a可由红色激光2360a照射。在第二时间t2,CMOS传感器2362b可由绿色激光2360b照射。在第三时间t3,CMOS传感器2362c可由蓝色激光2360c照射。然后可从第四时间t4开始重复照射循环,在此时间,CMOS传感器2362d可再次由红色激光2360a照射。可以认识到,通过不同波长的激光照射顺序照射组织可允许随时间推移在变化的组织深度处进行多普勒分析。尽管红色激光源2360a、绿色激光源2360b和蓝色激光源2360c可用于照射外科部位,但是可以认识到,可见光之外(诸如在红外或紫外区域中)的其他波长可用于照射外科部位以用于多普勒分析。
图31示出了使用多普勒成像来检测原本在外科部位2600处存在不可见血管的示例。在图31中,外科医生可能希望切除存在于肺的右上后叶2604中的肿瘤2602。因为肺是高度血管化的,因此必须注意仅识别与肿瘤相关联的那些血管并且仅密封那些血管而不损害流向肺的未受影响部分的血流。在图31中,外科医生已识别肿瘤2604的边缘2606。然后,外科医生可切割边缘区域2606中的初始解剖区域2608,并且可观察暴露的血管2610以用于切割和密封。多普勒成像检测器2620可用于定位和识别解剖区域中不可观察到的血管2612。成像系统可从多普勒成像检测器2620接收数据以用于分析和显示从外科部位2600获取的数据。在一些方面,成像系统可包括显示器以示出外科部位2600,该外科部位包括外科部位2600的可见图像连同隐藏血管2612在外科部位2600的图像上的图像叠层。
在以上关于图31所公开的场景中,外科医生希望切断向肿瘤供应氧气和营养物质的血管,同时保留与非癌组织相关联的血管。另外,血管可设置在外科部位2600中或周围的不同深度处。因此,外科医生必须识别血管的位置(深度)以及确定它们是否适合切除。图32示出了基于来自流经其中的血细胞的光的多普勒频移来识别深部血管的一种方法。如以上所公开,红色激光的穿透深度为约1mm,并且绿色激光的穿透深度为约2至3mm。然而,在这些波长下,低于表面深度为4mm或更深的血管将在穿透深度之外。然而,蓝色激光可基于其血流来检测此类血管。
图32描绘了在外科部位下方的特定深度处从血管反射的激光的多普勒频移。该部位可由红色激光、绿色激光和蓝色激光照射。照射光的中心波长2630可归一化为相对中心3631。如果血管位于外科部位的表面下方4mm或更深的深度处,则红色激光和绿色激光将都不会被血管反射。因此,反射红光的中心波长2632和反射绿光的中心波长2634将不会分别与照射红光或绿光的中心波长2630有太大差异。然而,如果该部位由蓝色激光照射,则反射蓝光2636的中心波长2638将不同于照射蓝光的中心波长2630。在一些情况下,反射蓝光2636的振幅也可在照射蓝光的振幅下显著减小。因此,外科医生可确定存在深处血管连同其近似深度,并且从而避免在表面组织解剖期间的深血管。
图33和图34示意性地示出了使用具有不同中心波长(颜色)的激光源来确定外科部位的表面下方的血管的近似深度。图33描绘了具有表面2654的第一外科部位2650和设置在表面2654下方的血管2656。在一种方法中,可基于投射到血管2656内的血细胞流2658上的光的多普勒频移来识别血管2656。外科部位2650可由来自多个激光2670、2676、2682的光照射,每个激光的特征在于发射若干不同中心波长中的一个中心波长的光。如上所述,由红色激光2670进行的照射可仅穿透组织约1mm。因此,如果血管2656位于表面2654下方小于1mm的深度2672处,则红色激光照射将被反射2674,并且可确定反射红色照射2674的多普勒频移。此外,如上所述,由绿色激光2676进行的照射可仅穿透组织约2至3mm。如果血管2656位于表面2654下方约2至3mm的深度2678处,则绿色激光照射将被反射2680,同时红色激光照射2670将不被反射,并且可确定反射绿色照射2680的多普勒频移。然而,如图33所描绘,血管2656位于表面2654下方约4mm的深度2684处。因此,红色激光照射2670和绿色激光照射2676都不会被反射。相反,仅蓝色激光照射将被反射2686,并且可确定反射蓝色照射2686的多普勒频移。
与图33所描绘的血管2656相比,图34所描绘的血管2656'位于更靠近外科部位处的组织表面。血管2656'与血管2656的区别还可在于血管2656'被示出为具有更厚的壁2657。因此,血管2656'可为动脉的示例,同时血管2656可为静脉的示例,因为已知动脉壁比静脉壁厚。在一些示例中,动脉壁的厚度可为约1.3mm。如以上所公开,红色激光照射2670'可穿透组织至约1mm的深度2672'。因此,即使血管2656'暴露于外科部位(参见图31的2610),由于血管壁2657的厚度,在多普勒分析下从血管2656'的表面反射2674'的红色激光也可能无法可视化血管2656'内的血流2658'。然而,如以上所公开,投射到组织表面上的绿色激光2676'可穿透至约2至3mm的深度2678'。此外,投射2682'到组织表面上的蓝色激光可穿透至约4mm的深度2684'。因此,绿色激光可从在血管2656'内流动2658'的血细胞反射2680',并且蓝色激光可从在血管2656'内流动2658'的血细胞反射2686'。因此,反射绿光2680'和反射蓝光2686'的多普勒分析可提供关于近表面血管中的血流(尤其是血管的大致深度)的信息。
如以上所公开,可基于波长相关多普勒成像来探测外科部位下方的血管深度。通过此类血管的血流量也可通过散斑对比度(干扰)分析来确定。多普勒频移可指示相对于静止光源的移动的粒子。如以上所公开,多普勒波长频移可为粒子运动速度的指示。各个粒子诸如血细胞可能无法单独观察到。然而,每个血细胞的速度将产生成比例的多普勒频移。由于来自血细胞中的每个血细胞的背向散射光的多普勒频移的差异,可通过从多个血细胞背向散射的光的组合来生成干涉图案。干涉图案可为可视化帧内血细胞的数量密度的指示。干涉图案可被称为散斑对比度。散斑对比度分析可使用全帧300×300CMOS成像阵列来计算,并且散斑对比度可与在给定暴露时间段内与激光相互作用的移动的粒子(例如血细胞)量直接相关。
CMOS图像传感器可耦接到数字信号处理器(DSP)。传感器的每个像素可被复用和数字化。与多普勒频移光相比,可通过观察源激光来分析光中的多普勒频移。更大的多普勒频移和散斑可与更大数量的血细胞及其在血管中的速度相关。
图35描绘了在外科手术期间可由外科医生呈现的复合视觉显示2800的方面。复合视觉显示2800可通过用多普勒分析图像2850叠加外科部位的白光图像2830来构造。
在一些方面,白光图像2830可描绘外科部位2832、一个或多个外科切口2834以及在外科切口2834内随意可见的组织2836。白光图像2830可通过用白光源2838照射2840外科部位2832并且由光学检测器接收反射的白光2842来生成。尽管白光源2838可用于照射外科部位的表面,但是在一个方面,如以上相对于图23C至图23F所公开的,可使用红色激光2854、绿色激光2856和蓝色激光2858的适当组合来使外科部位的表面可视化。
在一些方面,多普勒分析图像2850可包括血管深度信息连同血流信息2852(来自散斑分析)。如以上所公开,血管深度和血流速度可通过以下方式获取:用多个波长的激光照射外科部位,并且基于特定波长的光的已知穿透深度来确定血管深度和血流。一般来讲,外科部位2832可由一个或多个激光器(诸如,红色激光器2854、绿色激光器2856和蓝色激光器2858)发射的光照射。CMOS检测器2872可接收从外科部位2832及其周围组织反射回的光(2862、2866、2870)。可基于来自CMOS检测器2872的多个像素数据的分析来构造2874多普勒分析图像2850。
在一个方面,红色激光器2854可在外科部位2832上发射红色激光照射2860,并且反射光2862可显示出表面或最低限度的表面下结构。在一个方面,绿色激光器2856可在外科部位2832上发射绿色激光照射2864,并且反射光2866可显示出较深的表面下特性。在另一方面,蓝色激光器2858可在外科部位2832上发射蓝色激光照射2868,并且反射光2870可显示出例如较深的血管结构内的血流。另外,散斑对比度分析可向外科医生呈现关于通过较深的血管结构的血流量和速度的信息。
尽管未在图35中示出,但是应当理解,成像系统还可用可见范围之外的光对外科部位进行照射。此类光可包括红外光和紫外光。在一些方面,红外光或紫外光的源可包括宽带波长源(诸如钨源、钨卤素源或氘源)。在一些其他方面,红外光或紫外光的源可包括窄带波长源(IR二极管激光器、UV气体激光器或染料激光器)。
图36为用于确定一块组织中的表面特征的深度的方法的流程图2900。图像采集系统可用具有第一中心频率的第一光束照射组织2910,并且接收来自被第一光束照射的组织的第一反射光2912。然后,图像采集系统可基于第一光束和第一反射光来计算第一多普勒频移2914。然后,图像采集系统可用具有第二中心频率的第二光束照射组织2916,并且接收来自被第二光束照射的组织的第二反射光2918。然后,图像采集系统可基于第二光束和第二反射光来计算第二多普勒频移2920。然后,图像采集系统可至少部分地基于第一中心波长、第一多普勒频移、第二中心波长和第二多普勒频移来计算组织特征的深度2922。在一些方面,组织特征可包括存在移动的粒子(诸如在血管内移动的血细胞),以及移动的粒子的流动方向和速度。应当理解,该方法可扩展到包括通过任一个或多个附加光束来照射组织。此外,该系统可计算包括组织表面的图像和设置在组织内的结构的图像的组合的图像。
在一些方面,可使用多个视觉显示。例如,3D显示可提供显示组合的白光(或红色激光、绿色激光和蓝色激光的适当组合)和激光多普勒图像的复合图像。附加显示可仅提供白光显示或显示复合白光显示和NIRS显示的显示,以仅可视化组织的血氧合响应。然而,NIRS显示可不需要允许组织响应的每个循环。
使用多光谱OCT的表面下组织表征
在外科手术期间,外科医生可采用“智能”外科装置来对组织进行操纵。此类装置可被认为“智能”,因为这些装置包括基于与其使用相关的参数来引导、控制和/或改变装置的动作的自动化特征。这些参数可包括被操纵的组织的类型和/或组成。如果被操纵的组织的类型和/或组成未知,则智能装置的动作可能不适当的用于被操纵的组织。因此,由于智能装置的不适当的设定,组织可能被损伤或者对组织进行操纵可能是低效的。
外科医生可手动尝试以试错法方式改变智能装置的参数,从而导致低效且冗长的外科手术。
因此,期望具有外科可视化系统,该外科可视化系统可探测外科部位下层的组织结构以确定其结构和组成特性,并且将此类数据提供给在外科手术中使用的智能外科器械。
本公开的一些方面还提供了控制电路,该控制电路被配置为使用一个或多个照射源诸如激光源来控制外科部位的照射,以及从一个或多个图像传感器接收成像数据。在一些方面,本公开提供了存储计算机可读指令的非暂态计算机可读介质,这些计算机可读指令在被执行时使得装置表征外科部位处的表面下方的结构并且确定组织表面下方的结构的深度。
在一些方面,外科图像采集系统可包括:多个照射源,其中每个照射源被配置为发射具有指定中心波长的光;光传感器,该光传感器被配置为当组织样本被该多个照射源中的一个或多个照射源照射时接收光的从组织样本反射的部分;以及计算系统。该计算系统可被配置为当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据,基于当组织样本被该照射源中的每个照射源照射时由该光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据,以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收。在一些方面,该结构的特性为表面特性或结构组成。
在一个方面,外科系统可包括多个激光源并且可接收从组织反射的激光。该系统可使用从组织反射的光来计算设置在组织内的部件的表面特性。设置在组织内的部件的特性可包括部件的组成和/或与部件的表面不平度相关的度量。
在一个方面,外科系统可将与部件的组成相关的数据和/或与部件的表面不平度相关的度量传输到待用于组织上的第二器械,以修改第二器械的控制参数。
在一些方面,第二装置可为高级能量装置,并且控制参数的修改可包括夹持压力、操作功率水平、操作频率和换能器信号振幅。
如以上所公开,可基于由在血管内移动的血细胞反射的光的多普勒频移来在外科部位的表面下检测血管。
激光多普勒血流仪可用于可视化和表征相对于有效静止背景移动的粒子流。因此,由移动粒子(诸如血细胞)散射的激光可具有与原始照射激光源不同的波长。相比之下,由有效静止背景(例如,血管组织)散射的激光可具有与原始照射激光源相同的波长。来自血细胞的散射光的波长变化可反映血细胞相对于激光源的流动方向以及血细胞速度两者。如先前所公开的,图26A-C示出了从血细胞散射的光波长变化,该血细胞可能正远离(图26A)或朝向(图26C)激光源移动。
在图26A-C中的每个图中,原始照射光2502被描绘为相对中心波长为0。从图26A中可以观察到,从远离激光源2504移动的血细胞散射的光具有偏移一定量2506至相对于激光源更大波长的波长(并且因此被红移)。从图24C中还可以观察到,从朝向激光源2508移动的血细胞散射的光具有偏移一定量2510至相对于激光源更短波长的波长(并且因此被蓝移)。波长偏移的量(例如2506或2510)可取决于血细胞的运动速度。在一些方面,一些血细胞的红移(2506)的量可与一些其他血细胞的蓝移(2510)的量大致相同。另选地,一些血细胞的红移(2506)的量可与一些其他血细胞的蓝移(2510)的量不同。因此,基于波长偏移(2506和2510)的相对量值,如图24A所描绘的血细胞远离激光源流动的速度可小于如图26C所描绘的流向激光源的血细胞的速度。相比之下,并且如图26B所描绘,从不相对于激光源移动的组织(例如血管2512或非血管组织2514)散射的光可能不展示任何波长变化。
所先前所公开的,图27描绘了可用于检测从组织2540的部分散射的激光的多普勒频移的仪器2530的方面。源自激光器2532的光2534可穿过分束器2544。激光2536的一些部分可由分束器2544透射并且可照射组织2540。激光的另一部分可由分束器2544反射2546以投射在检测器2550上。由组织2540背向散射2542的光可由分束器2544引导并且还投射在检测器2550上。源自激光器2532的光2534与由组织2540背向散射的光2542的组合可导致由检测器2550检测到的干涉图案。由检测器2550接收的干涉图案可包括由源自激光器2532的光2534与从组织2540背向散射2452的多普勒频移(并且因此波长偏移)的光的组合产生的干涉条纹。
可以认识到,来自组织2540的背向散射光2542还可包括来自组织2540内的边界层的背向散射光和/或组织2540内的材料对特定于波长的光吸收。因此,在检测器2550处观察到的干涉图案可并入来自这些附加光学效应的干涉条纹特征,并且因此除非正确分析,否则可能混淆多普勒频移的计算。
可以认识到,从组织反射的光还可包括来自组织内的边界层的背向散射光和/或组织内的材料对特定于波长的光吸收。因此,在检测器处观察到的干涉图案可并入条纹特征,除非正确分析,否则可能混淆多普勒频移的计算。
如先前所公开的,图28描绘了这些附加光学效应中的一些。众所周知,穿过具有第一折射率n1的第一光学介质的光可在与具有第二折射率n2的第二光学介质的界面处被反射。透射穿过第二光学介质的光将具有相对于界面的透射角,该透射角基于折射率n1与n2之间的差值而不同于入射光的角度(斯涅尔定律)。图26示出了斯涅尔定律对投射在多组分组织2150的表面上的光的影响,如可在外科领域中呈现的。多组分组织2150可由具有折射率n1的外组织层2152和埋入式组织(诸如具有血管壁2156的血管)构成。血管壁2156的特征可在于折射率n2。血液可在血管2160的内腔内流动。在一些方面,可能重要的是,在外科手术期间确定血管2160在外组织层2152的表面2154下方的位置,并且使用多普勒频移技术来表征血流。
入射激光2170a可用于探测血管2160并且可被引导在外组织层2152的顶部表面2154上。入射激光2170a的一部分2172可在顶部表面2154处被反射。入射激光2170a的另一部分2170b可穿透外组织层2152。外组织层2152的顶部表面2154处的反射部分2172具有与入射光2170a相同的路径长度,并且因此具有与入射光2170a相同的波长和相位。然而,透射到外组织层2152中的光的部分2170b将具有与投射到组织表面上的光的入射角不同的透射角,因为外组织层2152具有与空气的折射率不同的折射率n1。
如果光的透射穿过外组织层2152的部分投射在例如血管壁2156的第二组织表面2158上,则光的一些部分2174a、b将朝入射光2170a反射回来。因此,在外组织层2152与血管壁2156之间的界面处反射的光2174a将具有与入射光2170a相同的波长,但由于光路径长度的变化而将发生相移。将来自外组织层2152与血管壁2156之间的界面的反射的光2174a、b连同入射光一起投射在传感器上将基于两个光源之间的相位差来产生干涉图案。
另外,入射光2170c的一部分可透射穿过血管壁2156并穿透到血管腔2160中。入射光2170c的该部分可与血管腔2160中移动的血细胞相互作用,并且可朝投射光源反射回2176a-c,该投射光源具有根据血细胞的速度频移的波长多普勒,如以上所公开。来自移动的血细胞反射的多普勒频移光2176a-c可连同入射光一起投射在传感器上,从而产生具有基于两个光源之间的波长差的条纹图案的干涉图案。
在图28中,如果在发射光与由移动的血细胞反射的光之间不存在折射率变化,则呈现投射在血管腔2160中的红细胞上的光的光路2178。在该示例中,仅可检测到反射光波长的多普勒频移。然而,除了由于多普勒效应引起的波长变化之外,由血细胞(2176a-c)反射的光还可并入由于组织折射率的变化引起的相位变化。
因此,应当理解,如果光传感器接收入射光、从一个或多个组织界面(2172和2174a、b)反射的光和来自血细胞(2176a-c)的多普勒频移光,则因此在光传感器上产生的干涉图案可包括由于多普勒频移引起的效应(波长变化)以及由于组织内的折射率变化引起的效应(相位变化)。因此,如果不补偿由于样本内的折射率变化引起的效应,则由组织样本反射的光的多普勒分析可能产生错误的结果。
如先前所公开的,图29示出了对投射2250在组织样本上的光的多普勒分析的效应的示例,以确定下层血管的深度和位置。如果血管与组织表面之间不存在居间组织,则在传感器处检测到的干涉图案可能主要是由于从移动的血细胞反射的波长变化。因此,来源于干涉图案的光谱2252通常可仅反映血细胞的多普勒频移。然而,如果在血管与组织表面之间存在居间组织,则在传感器处检测到的干涉图案可能是由于从移动的血细胞反射的波长变化和由于居间组织的折射率引起的相移的组合。来源于此类干涉图案的光谱2254可导致多普勒频移的计算,该多普勒频移的计算由于反射光中的附加相位变化而混淆。在一些方面,如果关于居间组织的特性(厚度和折射率)的信息是已知的,则可校正所得光谱2256以提供对波长变化的更准确的计算。
可以认识到,无论多普勒效应如何,来自组织的反射光的相移都可提供关于下层组织结构的附加信息。
图37示出了可基于入射光2372与从深部组织结构反射的光(2374、2376、2378)之间的相位差来确定非血管结构的位置和特性。如上所述,投射到组织上的光的穿透深度取决于投射照射的波长。红色激光(波长在约635nm至约660nm范围内)可穿透组织至约1mm的深度。绿色激光(波长在约520nm至约532nm范围内)可穿透组织至约2至3mm的深度。蓝色激光(波长在约405nm至约445nm范围内)可穿透组织至约4mm或更深的深度。在一个方面,位于组织表面2380下方小于或约为1mm处的两个组织之间的折射率不同的界面2381a可反射2374红色激光、绿色激光或蓝色激光。可将反射光2374的相位与入射光2372进行比较,并且因此可确定界面2381a处的组织的折射率的差值。在另一方面,位于组织表面2380下方2至3mm之间2381b处的两个组织之间的折射率不同的界面2381b可反射2376绿色激光或蓝色激光,但是不反射红光激光。可将反射光2376的相位与入射光2372进行比较,并且因此可确定界面2381b处的组织的折射率的差值。在又一方面,位于组织表面2380下方3至4mm之间2381c处的两个组织之间的折射率不同的界面2381c可仅反射2378蓝色激光,但是不反射红光或绿光。可将反射光2378的相位与入射光2372进行比较,并且因此可确定界面2381c处的组织的折射率的差值。
因此,由具有不同波长的光照射的组织的相位干涉测量可提供关于反射组织的相对折射率以及组织的深度的信息。可使用多个激光源及其强度来评估组织的折射率,从而可计算组织的相对折射率。已经认识到,不同的组织可具有不同的折射率。例如,折射率可与组织中胶原和弹性蛋白的相对组成或组织的水合量相关。因此,用于测量相对组织折射率的技术可导致识别组织的组成。
在一些方面,智能外科器械包括用于确定与器械的功能相关联的参数的算法。此类参数的一个非限制性示例可为用于智能缝合装置的砧座抵靠组织的压力。砧座抵靠组织的压力量可取决于组织的类型和组成。例如,可能需要较小的压力来缝合高度压缩的组织,同时可能需要较大的压力量来稳定更多的非压缩组织。与智能外科装置相关联的参数的另一个非限制性示例可包括击发i形梁刀以切割组织的速率。例如,刚性组织可能需要比较小刚性组织更大的力和更慢的切割速率。此类参数的另一个非限制性示例可为向智能烧灼或RF密封装置中的电极提供的电流量。组织组成(诸如组织水合百分比)可确定热密封组织所需的电流量。此类参数的又一非限制性示例可为提供给智能超声切割装置的超声换能器的功率量或切割装置的驱动频率。刚性组织可能需要更多的功率来进行切割,并且超声切割工具与刚性组织的接触可偏移切割器的谐振频率。
可以认识到,可识别组织类型和深度的组织可视化系统可将此类数据提供给一个或多个智能外科装置。然后,智能外科装置可使用该识别数据和位置数据来调节其操作参数中的一个或多个,从而允许其优化其对组织进行操纵。应当理解,表征组织类型的光学方法可允许智能外科装置的操作参数的自动化。智能外科器械的此类操作自动化可优选地依赖于人的估计来确定器械的操作参数。
在一个方面,光学相干断层扫描(OCT)是可基于照射光源与从位于组织内的结构反射的光之间的相位差来观察表面下组织结构的技术。图38示意性地描绘了用于光学相干断层扫描的仪器2470的一个示例。在图38中,激光源2472可根据感兴趣的任何光学波长(红色、绿色、蓝色、红外或紫外)来发射光2482。光2482可被引导到分束器2486。分束器2486将光2488的一部分引导到组织样本2480。分束器2486还可将光2492的一部分引导到静止参考反射镜2494。从组织样本2480和从静止反射镜2494反射的光可在分束器2486处重新组合2498并被引导到检测器2496。来自参考反射镜2494和来自组织样本2480的光之间的相位差可在检测器2496处被检测为干涉图案。然后,适当的计算装置可根据干扰图案来计算相位信息。然后,附加计算可提供关于组织样本表面下方的结构的信息。当在不同波长的激光下照射时,还可以通过比较从样本生成的干涉图案来获取附加深度信息。
如以上所公开,可根据激光波长与从深部组织结构反射的光的相位的组合来确定关于表面下组织结构的深度信息。另外,可通过比较从相同表面下组织的不同部分反射的光的相位以及振幅差来确定局部组织表面的不均匀性。在限定位置处的组织表面特性相比于在相邻位置处的组织表面特性的差异的测量值可指示正被探测的组织中的粘连、组织层的组织变性、感染或肿瘤。
图39示出了这种效应。组织的表面特性确定了投射到表面上的光的反射角。平滑表面2551a基本上以与投射到表面上的光2542相同的传播来反射光2544(镜面反射)。因此,由具有已知固定孔的光检测器接收的光的量可有效地接收从平滑表面2551a反射的全部光2544的量。然而,组织表面处增加的表面粗糙度可导致反射光相对于入射光的传播增加(漫反射)。
由于反射光2546的传播增加,因此来自具有一定量的表面不平度的组织表面2551b的一定量的反射光2546将落在光检测器的固定孔之外。因此,光检测器将检测较少的光(在图39中示出为反射光信号2546的振幅的降低)。应当理解,反射光传播的量将随着组织表面粗糙度的增加而增加。因此,如图39所描绘,从具有显著表面粗糙度的表面2551c反射的光2548的振幅可具有比从平滑表面2551a反射的光2544更小的振幅,或者反射的光2546形成仅具有适度量的表面粗糙度的表面2551b。因此,在一些方面,单个激光源可用于通过将来自组织的反射光的光学特性与来自相邻表面的反射光的光学特性进行比较来研究组织表面或表面下的质量。
在其他方面,来自多个激光源(例如,发射具有不同中心波长的光的激光器)的光可以依次用于探测表面2550下方各种深度处的组织表面特性。如以上所公开(参考图37),组织中的激光的吸光度分布取决于激光的中心波长。具有较短(更蓝)中心波长的激光可比具有较长(更红)中心波长的激光更深地穿透组织。因此,与在不同光波长下进行的光漫反射相关的测量可指示表面粗糙度的量以及被测量表面的深度两者。
图40示出了显示与组织可视化模态的组合相关的图像处理数据的一种方法。在该显示中使用的数据可来源于与组织层组成相关的图像相位数据、与组织表面特征相关的图像强度(振幅)数据,以及与组织移动性(诸如血细胞传输)以及组织深度相关的图像波长数据。作为一个示例,在蓝色光区2562中由激光器发射的光可投射在组织表面下方约4mm的深度处流动的血液上。反射光2564可由于血流的多普勒效应而红移。因此,可获取关于存在血管及其在表面下方的深度的信息。
在另一示例中,组织层可位于外科部位的表面下方约2至3mm的深度处。该组织可包括指示疤痕或其他病理的表面不平度。发射红光2572可能不穿透到2至3mm的深度,因此,反射红光2580可具有与发射红光2572大致相同的振幅,因为其不能探测外科部位的顶部表面下方超过1mm的结构。然而,从组织2578反射的绿光可显示出在该深度处存在表面不平度,因为反射绿光2578的振幅可小于发射绿光2570的振幅。类似地,从组织2574反射的蓝光可显示出在该深度处存在表面不平度,因为反射蓝光2574的振幅可小于发射蓝光2562的振幅。在图像处理步骤的一个示例中,可使用移动的窗口过滤器2584来平滑图像2582,以减少像素间噪声以及减少可隐藏更重要特征2588的小的局部组织异常2586。
图41A-C示出了可被提供给外科医生以用于视觉识别外科部位中的组织的表面结构和表面下结构的显示的若干方面。图41A可表示具有颜色编码的外科部位的表面标测图,以指示位于外科部位的表面下方的不同深度处的结构。图41B描绘了在不同深度处穿过组织的若干水平切片中的一个的示例,其可被颜色编码以指示深度,并且还包括与组织表面异常的差异相关联的数据(例如,如3D柱状图中所示)。图41C描绘了又一视觉显示,在该视觉显示中表面不平度以及多普勒频移流式细胞术数据可指示表面下血管结构以及组织表面特性。
图42为用于向智能外科器械提供与组织的特性相关的信息的方法的流程图2950。图像采集系统可用具有第一中心频率的第一光束照射组织2960,并且接收来自被第一光束照射的组织的第一反射光2962。然后,图像采集系统可基于第一发射光束和来自组织的第一反射光来计算第一深度处的第一组织表面特性2964。然后,图像采集系统可用具有第二中心频率的第二光束照射组织2966,并且接收来自被第二光束照射的组织的第二反射光2968。然后,图像采集系统可基于第二发射光束和来自组织的第二反射光来计算第二深度处的第二组织表面特性2970。可包括组织类型、组织组成和组织表面粗糙度度量的组织特征可由第一中心光频率、第二中心光频率、来自组织的第一反射光和来自组织的第二反射光来确定。组织特性可用于计算与智能外科器械的功能相关的一个或多个参数2972,诸如钳口压力、实现组织烧灼的功率或驱动压电致动器切割组织的电流幅值和/或频率。在一些附加示例中,参数可直接或间接地传输到智能外科器械2974,该智能外科器械可响应于被操纵的组织而修改其操作特性。
多焦点微创相机
在微创手术中,例如腹腔镜式手术中,外科医生可使用包括光源和相机的成像器械来可视化外科部位。成像器械可允许外科医生在手术期间可视化外科装置的端部执行器。然而,外科医生可能需要远离端部执行器来可视化组织,以防止外科手术期间的非预期损伤。当聚焦在端部执行器上时,此类远距组织可位于相机系统的视场之外。可移动成像器械以便改变相机的视场,但是在移动之后可能难以将相机系统返回到其初始位置。
外科医生可尝试在外科部位内移动成像系统以在手术期间可视化该部位的不同部分。成像系统的重新定位是耗时的,并且当成像系统返回到其原始位置时,外科医生无法保证可视化外科部位的相同视场。
因此,期望具有医学成像可视化系统,该医学成像可视化系统可提供外科部位的多个视场而无需重新定位可视化系统。医学成像装置包括但不限于腹腔镜、内窥镜、胸腔镜等,如本文所述。在一些方面,单个显示系统可大致同时显示外科部位的多个视场中的每个视场。根据由一个或多个硬件模块、一个或多个软件模块、一个或多个固件模块或它们的任一个或多个组合构成的显示控制系统可独立地更新多个视场中的每个视场的显示。
本公开的一些方面还提供了控制电路,该控制电路被配置为使用一个或多个照射源诸如激光源来控制外科部位的照射,以及从一个或多个图像传感器接收成像数据。在一些方面,控制电路可被配置为控制一个或多个光传感器模块的操作以调节视场。在一些方面,本公开提供了存储计算机可读指令的非暂态计算机可读介质,这些计算机可读指令在被执行时使得装置调节该一个或多个光传感器模块的一个或多个部件并处理来自该一个或多个光传感器模块中的每个光传感器模块的图像。
微创图像采集系统的一个方面可包括:多个照射源,其中每个照射源被配置为发射具有指定中心波长的光;第一光感测元件,该第一光感测元件具有第一视场并且被配置为当外科部位的第一部分被该多个照射源中的至少一个照射源照射时接收从外科部位的第一部分反射的照射;第二光感测元件,该第二光感测元件具有第二视场并且被配置为当外科部位的第二部分被该多个照射源中的至少一个照射源照射时接收从外科部位的第二部分反射的照射,其中第二视场与第一视场的至少一部分重叠;以及计算系统。
该计算系统可被配置为从第一光感测元件接收数据,从第二光感测元件接收数据,基于从第一光感测元件接收的数据和从第二光感测元件接收的数据来计算成像数据,以及传输该成像数据以供显示系统接收。
以上已公开了多种外科可视化系统。此类系统提供用于可视化在一个或多个外科手术期间可能遇到的组织和组织下结构。此类系统的非限制性示例可包括:用于确定表面下血管组织诸如静脉和动脉的位置和深度的系统;用于确定流经表面下血管组织的血液量的系统;用于确定非血管组织结构的深度的系统;用于表征此类非血管组织结构的组成的系统;以及用于表征此类组织结构的一个或多个表面特性的系统。
可以认识到,单个外科可视化系统可并入这些可视化模态中的任一个或多个的部件。图22A-D描绘了此类外科可视化系统2108的一些示例。
如以上所公开,在一个非限制性方面,外科可视化系统2108可包括成像控制单元2002和手持单元2020。手持单元2020可包括主体2021、附接到主体2021的相机镜缆线2015和细长相机探头2024。细长相机探头2024还可与至少一个窗口终止于其远侧端部处。在一些非限制性示例中,光传感器2030可并入在手持单元2020中,例如在手持单元2032b的主体中,或在细长相机探头的远侧端部2032a处,如图22C所描绘。光传感器2030可使用CMOS传感器阵列或CCD传感器阵列制成。如图23C所示,典型的CMOS或CCD传感器阵列可根据投射到传感器元件的马赛克上的光来生成RGB(红绿蓝)图像,每个传感器元件具有红色滤光器、绿色滤光器或蓝色滤光器中的一者。
另选地,外科部位的照射可在可见照射源之间循环,如图30D所描绘。在一些示例中,照射源可包括红色激光2360a、绿色激光2360b或蓝色激光2360c中的任一个或多个。在一些非限制性示例中,红色激光2360a的光源可提供峰值波长可在635nm和660nm之间的范围内的照射,该范围包括端值在内。红色激光的峰值波长的非限制性示例可包括约635nm、约640nm、约645nm、约650nm、约655nm、约660nm或其间的任何值或值的范围。在一些非限制性示例中,绿色激光2360b的光源可提供峰值波长可在520nm和532nm之间的范围内的照射,该范围包括端值在内。红色激光的峰值波长的非限制性示例可包括约520nm、约522nm、约524nm、约526nm、约528nm、约530nm、约532nm或其间的任何值或值的范围。在一些非限制性示例中,蓝色激光2360c的光源可提供峰值波长可在405nm和445nm之间的范围内的照射,该范围包括端值在内。蓝色激光的峰值波长的非限制性示例可包括约405nm、约410nm、约415nm、约420nm、约425nm、约430nm、约435nm、约440nm、约445nm或其间的任何值或值的范围。
另外,外科部位的照射可循环以包括可提供红外或紫外照射的不可见照射源。在一些非限制性示例中,红外激光源可提供峰值波长可在750nm和3000nm之间的范围内的照射,该范围包括端值在内。红外激光的峰值波长的非限制性示例可包括约750nm、约1000nm、约1250nm、约1500nm、约1750nm、约2000nm、约2250nm、约2500nm、约2750nm、3000nm或其间的任何值或值的范围。在一些非限制性示例中,紫外激光源可提供峰值波长可在200nm和360nm之间的范围内的照射,该范围包括端值在内。紫外激光的峰值波长的非限制性示例可包括约200nm、约220nm、约240nm、约260nm、约280nm、约300nm、约320nm、约340nm、约360nm或其间的任何值或值的范围。
例如,如果照射循环时间足够快并且激光在可见范围内,则可组合传感器阵列在不同照射波长下的输出以形成RGB图像。图43A和图43B示出了多像素光传感器,该多像素光传感器例如接收由依次暴露于红色、绿色、蓝色、红外(图43A)或红色激光源、绿色激光源、蓝色激光源和紫外激光源(图43B)照射的组织反射的光。
图44A描绘了柔性细长相机探头2120的远侧端部,该柔性细长相机探头具有柔性相机探头轴2122和设置在柔性相机探头轴2122的远侧端部2123处的单个光传感器模块2124。在一些非限制性示例中,柔性相机探头轴2122的外径可为约5mm。柔性相机探头轴2122的外径可取决于几何因素,这些几何因素可包括但不限于远侧端部2123处的轴中的可允许弯曲的量。如图44A所描绘,柔性相机探头轴2122的远侧端部2123可相对于位于细长相机探头2120的近侧端部处的柔性相机探头轴2122的未弯曲部分的纵向轴线弯曲约90°。可以认识到,柔性相机探头轴2122的远侧端部2123可弯曲其功能可能需要的任何适当的量。因此,作为非限制性示例,柔性相机探头轴2122的远侧端部2123可弯曲约0°至约90°之间的任何量。柔性相机探头轴2122的远侧端部2123的弯曲角度的非限制性示例可包括约0°、约10°、约20°、约30°、约40°、约50°、约60°、约70°、约80°、约90°或其间的任何值或值的范围。在一些示例中,柔性相机探头轴2122的远侧端部2123的弯曲角度可由外科医生或其他保健专业人员在外科手术之前或期间设定。在一些其他示例中,柔性相机探头轴2122的远侧端部2123的弯曲角度可为在制造位点处设定的固定角度。
当由设置在细长相机探头的远侧端部处的一个或多个照射源2126发射的光照射时,单个光传感器模块2124可接收从组织反射的光。在一些示例中,光传感器模块2124可为4mm传感器模块,诸如4mm安装架2136b,如图22D所描绘。可以认识到,光传感器模块2124可具有用于其预期功能的任何适当的大小。因此,光传感器模块2124可包括5.5mm安装架2136a、2.7mm安装架2136c或2mm安装架2136d,如图22D所描绘。
可以认识到,该一个或多个照射源2126可包括任何数量的照射源2126,包括但不限于一个照射源、两个照射源、三个照射源、四个照射源或多于四个照射源。还应当理解,每个照射源可提供具有任何中心波长的照射,包括中心红色照射波长、中心绿色照射波长、中心蓝色照射波长、中心红外照射波长、中心紫外照射波长或任何其他波长。在一些示例中,该一个或多个照射源2126可包括白光源,该白光源可用波长可跨越约390nm至约700nm的光学白光的范围的光来照射组织。
图44B描绘了另选的细长相机探头2130的远侧端部2133,该细长相机探头具有多个光传感器模块,例如两个光传感器模块2134a、b,每个光传感器模块设置在细长相机探头2130的远侧端部2133处。在一些非限制性示例中,另选的细长相机探头2130的外径可为约7mm。在一些示例中,光传感器模块2134a、b可各自包括4mm传感器模块,类似于图44A中的光传感器模块2124。另选地,光传感器模块2134a、b中的每个光传感器可包括5.5mm光传感器模块、2.7mm光传感器模块或2mm光传感器模块,如图22D所描绘。在一些示例中,两个光传感器模块2134a、b可具有相同大小。在一些示例中,光传感器模块2134a、b可具有不同大小。作为一个非限制性示例,另选的细长相机探头2130可具有第一4mm光传感器和两个附加2mm光传感器。在一些方面,可视化系统可组合来自多个光传感器模块2134a、b的光学输出以形成外科部位的3D或准3D图像。在一些其他方面,多个光传感器模块2134a、b的输出可以增强外科部位的光学分辨率的方式组合,否则这对于仅单个光传感器模块可能是不切实际的。
当由设置在另选的细长相机探头2130的远侧端部2133处的一个或多个照射源2136a、b发射的光照射时,多个光传感器模块2134a、b中的每个传感器可接收从组织反射的光。在一些非限制性示例中,由所有照射源2136a、b发射的光可来源于相同光源(诸如激光器)。在其他非限制性示例中,第一光传感器模块2134a周围的照射源2136a可发射第一波长的光,并且第二光传感器模块2134b周围的照射源2136b可发射第二波长的光。还应当理解,每个照射源2136a、b可提供具有任何中心波长的照射,包括中心红色照射波长、中心绿色照射波长、中心蓝色照射波长、中心红外照射波长、中心紫外照射波长或任何其他波长。在一些示例中,该一个或多个照射源2136a、b可包括白光源,该白光源可用波长可跨越约390nm至约700nm的光学白光的范围的光来照射组织。
在一些附加方面,另选的细长相机探头2130的远侧端部2133可包括一个或多个工作通道2138。此类工作通道2138可与装置的抽吸口流体连通以从外科部位抽吸材料,从而允许移除可能潜在地遮挡光传感器模块2134a、b的视场的材料。另选地,此类工作通道2138可与装置的流体源端口流体连通以向外科部位提供流体,以将碎片或材料冲洗掉而远离外科部位。此类流体可用于从光传感器模块2134a、b的视场清除材料。
图44C描绘了根据本公开的教导内容和原理的具有用于产生三维图像的多个像素阵列的单片传感器2160的方面的透视图。此类具体实施期望可用于三维图像采集,其中两个像素阵列2162和2164在使用过程中可偏移。在另一具体实施中,第一像素阵列2162和第二像素阵列2164可专用于接收预先确定的波长范围的电磁辐射,其中第一像素阵列2162专用于与第二像素阵列2164不同波长范围的电磁辐射。
关于双传感器阵列的附加公开内容可见于2014年3月14日提交的标题为“SUPERRESOLUTION AND COLOR MOTION ARTIFACT CORRECTION IN A PULSED COLOR IMAGINGSYSTEM”的美国专利申请公布2014/0267655,该专利申请于2017年5月2日以美国专利9,641,815公布,该专利申请的内容全文以引用方式并入本文以用于所有目的。
在一些方面,除了一个或多个附加光学元件诸如透镜、标线和过滤器之外,光传感器模块还可包括多像素光传感器,诸如CMOS阵列。
在一些另选的方面,该一个或多个光传感器可位于手持单元2020的主体2021内。从组织反射的光可在细长相机探头2024的远侧端部处的一个或多个光纤的光接收表面处采集。该一个或多个光纤可将光从细长相机探头2024的远侧端部传导到该一个或多个光传感器,或者传导到容纳在手持单元2020的主体中或成像控制单元2002中的附加光学元件。附加光学元件可包括但不限于一个或多个二向色镜、一个或多个参考反射镜、一个或多个移动的反射镜、以及一个或多个分束器和/或组合器、以及一个或多个光学快门。在此类另选的方面,光传感器模块可包括设置在细长相机探头2024的远侧端部处的透镜、标线和过滤器中的任一个或多个。
从多个光传感器例如2134a、b中的每个光传感器获取的图像可以若干不同的方式组合或处理,以组合的方式或单独地组合或处理,并且然后以允许外科医生可视化外科部位的不同方面的方式显示。
在一个非限制性示例中,每个光传感器可具有独立的视场。在一些附加示例中,第一光传感器的视场可与第二光传感器的视场部分地或完全地重叠。
如以上所讨论的,成像系统可包括具有细长相机探头2024的手持单元2020,该细长相机探头具有设置在其远侧端部2123、2133处的一个或多个光传感器模块2124、2134a、b。例如,细长相机探头2024可具有两个光传感器模块2134a、b,但可以认识到,在细长相机探头2024的远侧端部处可存在三个、四个、五个或更多个光传感器模块。尽管图45和图46A-D描绘了具有两个光传感器模块的细长相机探头的远侧端部的示例,但是可以认识到,光传感器模块的操作的描述不限于仅两个光传感器模块。如图45和图46A-D所描绘,光传感器模块可包括图像传感器,诸如CCD或CMOS传感器,该图像传感器可由光感测元件(像素)阵列构成。光传感器模块还可包括附加光学元件,诸如透镜。每个透镜可适配于为相应的光传感器模块的光传感器提供视场。
图45描绘了具有多个光传感器模块2144a、b的细长相机探头的远侧端部2143的一般化视图。每个光传感器模块2144a、b可由CCD或CMOS传感器以及一个或多个光学元件(诸如过滤器、透镜、快门等)构成。在一些方面,光传感器模块2144a、b的部件可固定在细长相机探头内。在一些其他方面,光传感器模块2144a、b的部件中的一个或多个可为可调节的。例如,光传感器模块2144a、b的CCD或CMOS传感器可安装在可移动安装架上,以允许自动调节CCD或CMOS传感器的视场2147a、b的中心2145a、b。在一些其他方面,CCD或CMOS传感器可为固定的,但是每个光传感器模块2144a、b中的透镜可为可调节的以改变焦点。在一些方面,光传感器模块2144a、b可包括可调节的虹膜以允许传感器模块2144a、b的视孔的变化。
如图45所描绘,传感器模块2144a、b中的每个传感器模块可具有可接受角度的视场2147a、b。如图45所描绘,每个传感器模块2144a、b的可接受角度可具有大于90°的可接受角度。在一些示例中,可接受角度可为约100°。在一些示例中,可接受角度可为约120°。在一些示例中,如果传感器模块2144a、b具有大于90°(例如,100°)的可接受角度,则视场2147a和2147b可形成重叠区域2150a、b。在一些方面,具有100°或更大的可接受角度的光学视场可被称为“鱼眼”视场。与此类细长相机探头相关联的可视化系统控制系统可包括计算机可读指令,这些计算机可读指令可允许重叠区域2150a、b以使得校正重叠鱼眼视场的极端曲率并且可显示锐化和平坦化的图像的方式显示。在图45中,重叠区域2150a可表示其中传感器模块2144a、b的重叠视场2147a、b的相应中心2145a、b被引导沿前进方向的区域。然而,如果传感器模块2144a、b中的任一个或多个部件是可调节的,则可以认识到,重叠区域2150b可被引导到传感器模块2144a、b的视场2147a、b内的任何可获得的角度。
图46A-D描绘了具有带各种视场的两个光传感器模块2144a、b的细长光探头的各种示例。细长光探头可被引导以可视化外科部位的表面2152。
在图46A中,第一光传感器模块2144a具有组织表面2154a的第一传感器视场2147a,并且第二光传感器模块2144b具有组织表面2154b的第二传感器视场2147b。如图46A所描绘,第一视场2147a和第二视场2147b具有大致相同的视角。另外,第一传感器视场2147a与第二传感器视场2147b相邻但不重叠。由第一光传感器模块2144a接收的图像可与由第二光传感器模块2144b接收的图像分开显示,或者这些图像可组合以形成单个图像。在一些非限制性示例中,与第一光传感器模块2144a相关联的透镜的视角和与第二光传感器模块2144b相关联的透镜的视角可能会有些窄,并且在其相应的图像的周边处图像畸变可能不会太大。因此,这些图像可容易地边对边地组合。
如图46B所描绘,第一视场2147a和第二视场2147b具有大致相同的角视场,并且第一传感器视场2147a与第二传感器视场2147b完全地重叠。这可导致组织表面2154a的第一传感器视场2147a与由第二光传感器模块2144b从第二传感器视场2147b获取的组织表面2154b的视图相同。该构型可用于其中来自第一光传感器模块2144a的图像的处理可不同于来自第二光传感器模块2144b的图像的应用。第一图像中的信息可补充第二图像中的信息并且是指组织的相同部分。
如图46C所描绘,第一视场2147a和第二视场2147b具有大致相同的角视场,并且第一传感器视场2147a与第二传感器视场2147b部分地重叠。在一些非限制性示例中,与第一光传感器模块2144a相关联的透镜和与第二光传感器模块2144b相关联的透镜可为广角透镜。这些透镜可允许可视化比图46A所描绘的视场更宽的视场。广角透镜已知在其周边处具有显著的光学畸变。由第一光传感器模块2144a和第二光传感器模块2144b获取的图像的适当图像处理可允许形成组合图像,在该组合图像中组合图像的中心部分对由第一透镜或第二透镜引起的任何畸变进行校正。应当理解,由于与第一光传感器模块2144a相关联的透镜的广角性质,组织表面2154a的第一传感器视场2147a的一部分可能具有一些畸变,并且因此,由于与第二光传感器模块2144b相关联的透镜的广角性质,组织表面2154b的第二传感器视场2147b的一部分可能具有一些畸变。然而,在两个光传感器模块2144a、b的重叠区域2150'中观察到的组织的一部分可对由光传感器模块2144a、b中的任一个引起的任何畸变进行校正。图46C所描绘的构型可用于其中期望在外科手术期间具有围绕外科器械的一部分的组织的宽视场的应用。在一些示例中,与每个光传感器模块2144a、b相关联的透镜可为可独立控制的,从而控制组合图像内的视图重叠区域2150'的位置。
如图46D所描绘,第一光传感器模块2144A可具有比第二光传感器模块2144B的第二角视场2147B宽的第一角视场2147A。在一些非限制性示例中,第二传感器视场2147b可完全设置在第一传感器视场2147a内。在另选的示例中,第二传感器视场可位于第一传感器2144a的广角视场2147a之外或与其相切。可使用图46D所描绘的构型的显示系统可显示由第一传感器模块2144a成像的组织2154a的广角部分连同由第二传感器模块2144b成像并且位于第一视场2147a和第二视场2147b的重叠区域2150"中的组织2154b的放大第二部分。该构型可用于向外科医生呈现靠近外科器械的组织(例如,嵌入组织2154b的第二部分中)的特写图像和紧邻医疗器械周围的组织(例如,组织2154a的近侧第一部分)的宽视场图像。在一些非限制性示例中,由第二光传感器模块2144b的较窄的第二视场2147b呈现的图像可为外科部位的表面图像。在一些附加示例中,在第一光传感器模块2144a的第一宽视场2147a中呈现的图像可包括基于在宽视场中可视化的组织的超光谱分析的显示。
图47A-C示出了使用并入图46D所公开的特征的成像系统的示例。图47A示意性地示出了细长相机探头的远侧端部处的近侧视图2170,其描绘了两个光传感器模块2174a、b的光传感器阵列2172a、b。第一光传感器模块2174a可包括广角透镜,并且第二光传感器模块2174B可包括窄角透镜。在一些方面,第二光传感器模块2174b可具有窄孔透镜。在其他方面,第二光传感器模块2174b可具有放大透镜。组织可由设置在细长相机探头的远侧端部处的照射源照射。光传感器阵列2172'(光传感器阵列2172a或2172b,或2172a和2172b两者)可在照射时接收从组织反射的光。组织可由来自红色激光源、绿色激光源、蓝色激光源、红外激光源和/或紫外激光源的光照射。在一些方面,光传感器阵列2172'可依次接收红色激光2175a、绿色激光2175b、蓝色激光2175c、红外激光2175d和紫外激光2175e。可通过此类激光源的任何组合同时照射组织,如图23E和图23F所描绘。另选地,照射光可在此类激光源的任何组合之间循环,如(例如)图23D和图43A和图43B所描绘。
图47B示意性地描绘了肺组织2180的一部分,该肺组织可包含肿瘤2182。肿瘤2182可与包括一个或多个静脉2184和/或动脉2186的血管连通。在一些外科手术中,在移除肿瘤之前,与肿瘤2182相关联的血管(静脉2184和动脉2186)可能需要切除和/或烧灼。
图47C示出了如以上相对于图47A所公开的双成像系统的使用。第一光传感器模块2174a可采集待用外科刀2190切断的血管2187周围的组织的广角图像。广角图像可允许外科医生验证待切断的血管2187。另外,第二光传感器模块2174B可采集待操纵的特定血管2187的窄角图像。窄角图像可向外科医生显示对血管2187进行操纵的进度。这样,向外科医生呈现待操纵的血管组织及其环境的图像,以确保正在操纵正确的血管。
图48A和图48B描绘了使用双成像系统的另一示例。图48A描绘了提供外科部位的一区段的图像的主外科显示。主外科手术显示可描绘肠2802的一区段连同其脉管系统2804的宽视图像2800。宽视图像2800可包括手术场地2809的一部分,该部分可在辅助外科显示中单独地显示为放大视图2810(图48B)。如以上相对于从肺移除肿瘤的外科手术所公开的(图47A-C),可能需要在移除癌组织之前解剖供给肿瘤2806的血管。供给肠2802的脉管系统2804是复杂且高度分叉的。可能需要确定哪些血管供给肿瘤2806并且识别向健康肠组织供给血液的血管。宽视图像2800允许外科医生确定哪个血管可供给肿瘤2806。然后,外科医生可使用夹持装置2812测试血管以确定该血管是否供给肿瘤2806。
图48B描绘了可仅显示手术场地2809的一部分的窄放大视图像2810的辅助外科显示。窄放大视图像2810可呈现血管树2814的特写视图,使得外科医生可专注于仅解剖感兴趣的血管2815。为了切除感兴趣的血管2815,外科医生可使用智能RF烧灼装置2816。应当理解,由可视化系统获取的任何图像不仅可包括外科部位中的组织的图像,还可包括插入其中的外科器械的图像。在一些方面,此类外科显示(图48A中的主显示或图48B中的辅助显示)还可包括与在外科手术期间使用的任何外科装置的功能或设定相关的标记2817。例如,标记2817可包括智能RF烧灼装置2816的功率设置。在一些方面,此类智能医学装置可将与其操作参数相关的数据传输到可视化系统,以并入待传输到一个或多个显示装置的显示数据。
图49A-C示出了用于移除肠/结肠肿瘤并且可受益于在外科部位处使用多图像分析的外科步骤序列的示例。图49A描绘了外科部位的一部分,包括肠2932和向肠2932供给血液和营养物质的分叉脉管系统2934。肠2932可具有由肿瘤边缘2937围绕的肿瘤2936。可视化系统的第一光传感器模块可具有宽视场2930,并且其可将宽视场2930的成像数据提供给显示系统。可视化系统的第二光传感器模块可具有窄或标准视场2940,并且其可将窄视场2940的成像数据提供给显示系统。在一些方面,宽场图像和窄场图像可由相同的显示装置显示。在另一方面,宽场图像和窄场图像可由单独的显示装置显示。
在外科手术期间,可能重要的是不仅移除肿瘤2936而且移除其周围的边缘2937以确保完全移除肿瘤。广角视场2930可用于对脉管系统2934以及肿瘤2936和边缘2637周围的肠2932的区段进行成像。如上所述,应当移除供给肿瘤2936和边缘2637的脉管系统,但必须保留供给周围肠组织的脉管系统以向周围组织提供氧气和营养物质。横切供给周围结肠组织的脉管系统将从组织中移除氧气和营养物质,从而导致坏死。在一些示例中,可分析在广角场2630中可视化的组织的激光多普勒成像以提供散斑对比度分析2933,从而指示肠组织内的血流。
图49B示出了外科手术期间的步骤。外科医生可能不确定血管树的哪个部分将血液供应给肿瘤2936。外科医生可测试血管2944以确定其是否供给肿瘤2936或健康组织。外科医生可用夹持装置2812夹持血管2944,并且使用散斑对比度分析来确定不再灌注的肠组织2943的区段。在成像装置上显示的窄视场2940可帮助外科医生可视化待测试的单个血管2944所需的特写和详细工作。当夹持可疑血管2944时,基于多普勒成像散斑收缩分析来确定肠组织2943的一部分缺乏灌注。如图29B所描绘,可疑血管2944不向肿瘤2935或肿瘤边缘2937供给血液,并且因此被认为是在外科手术期间待留空的血管。
图49C描绘了外科手术的以下阶段。在阶段中,供给血管2984已被识别为向肿瘤的边缘2937供给血液。当该供给血管2984已被切断时,不再向肠2987的一区段供给血液,该区段可包括肿瘤2936的边缘2937的至少一部分。在一些方面,对肠的区段2987的灌注缺乏可使用基于流入肠的血流的多普勒分析的散斑对比度分析来确定。然后可通过施加到肠上的密封件2985将肠的未灌注区段2987隔离。这样,可仅识别并密封那些灌注指示用于外科移除的组织的血管,从而从非预期的外科后果中保留健康组织。
在一些附加方面,外科可视化系统可允许对外科部位进行成像分析。
在一些方面,可检查外科部位的组织的外科操纵的有效性。此类检查的非限制性示例可包括检查用于密封外科部位处的组织的外科钉或焊缝。使用一个或多个照射源的锥束相干断层扫描可用于此类方法。
在一些附加方面,外科部位的图像可具有在图像中表示的标志。在一些示例中,这些标志可通过图像分析技术来确定。在一些另选的示例中,这些标志可由外科医生通过对图像的手动干预来表示。
在一些附加方面,可导入非智能就绪可视化方法以用于集线器图像融合技术。
在附加方面,未集成在集线器系统中的器械可在其在外科部位内使用期间被识别和跟踪。在该方面,集线器的计算和/或存储部件或其部件中的任一个(包括例如在云系统中)可包括与EES和竞争性外科器械相关的图像的数据库,这些图像的数据库可从由任何图像采集系统或通过此类另选器械的视觉分析采集的一个或多个图像中识别。此类装置的成像分析还可允许识别何时用不同的器械替换器械以进行相同或类似的作业。外科手术期间器械替换的识别可提供与器械何时未进行作业或装置故障相关的信息。
态势感知
态势感知是指外科系统的一些方面的根据从数据库和/或器械接收的数据来确定或推断与外科手术相关的信息的能力。该信息可包括正在进行的手术的类型、正在接受手术的组织的类型或作为手术对象的体腔。利用与外科手术相关的情境信息,外科系统可例如改善其控制与其连接的模块化装置(例如,机器人臂和/或机器人外科工具)的方式,并且在外科手术期间向外科医生提供情境化的信息或建议。
现在参考图50,其描绘了描绘集线器(诸如例如,外科集线器106或206)的态势感知的时间轴5200。时间轴5200是说明性的外科规程以及外科集线器106、206可以从外科规程中每个步骤从数据源接收的数据导出的背景信息。时间轴5200描绘了护士、外科医生和其它医疗人员在肺段切除规程期间将采取的典型步骤,从建立手术室开始到将患者转移到术后恢复室为止。
态势感知外科集线器106、206在整个外科规程过程中从数据源接收数据,包括每次医疗人员利用与外科集线器106、206配对的模块化装置时生成的数据。外科集线器106、206可从配对的模块化装置和其他数据源接收该数据,并且在接收新数据时不断导出关于正在进行的手术的推论(即,情境信息),诸如在任何给定时间执行手术的哪个步骤。外科集线器106、206的态势感知系统能够例如记录与用于生成报告的过程相关的数据,验证医务人员正在采取的步骤,提供可能与特定过程步骤相关的数据或提示(例如,经由显示屏),基于背景调节模块化装置(例如,激活监测器,调节医学成像装置的视场(FOV),或者改变超声外科器械或RF电外科器械的能量水平),以及采取上述任何其它此类动作。
作为该示例性规程中的第一步5202,医院工作人员从医院的EMR数据库中检索患者的EMR。基于EMR中的选择的患者数据,外科集线器106、206确定待执行的规程是胸腔规程。
第二步5204,工作人员扫描用于规程的进入的医疗用品。外科集线器106、206与在各种类型的规程中使用的用品列表交叉引用扫描的用品,并确认供应的混合物对应于胸腔规程。另外,外科集线器106、206还能够确定规程不是楔形规程(因为进入的用品缺乏胸腔楔形规程所需的某些用品,或者在其它方面不对应于胸腔楔形规程)。
第三步5206,医疗人员经由可通信地连接到外科毂集线器106、206的扫描器来扫描患者带。然后,外科集线器106、206可基于所扫描的数据来确认患者的身份。
第四步5208,医务工作人员打开辅助设备。所利用的辅助设备可根据外科规程的类型和外科医生待使用的技术而变化,但在此示例性情况下,它们包括排烟器、吹入器和医学成像装置。当激活时,作为其初始化过程的一部分,作为模块化装置的辅助设备可以自动与位于模块化装置特定附近的外科集线器106、206配对。然后,外科集线器106、206可通过检测在该术前阶段或初始化阶段期间与其配对的模块化装置的类型来导出关于外科规程的背景信息。在该具体示例中,外科集线器106、206确定外科规程是基于配对模块化装置的该特定组合的VATS规程。基于来自患者的EMR的数据的组合,规程中使用的医疗用品的列表以及连接到集线器的模块化装置的类型,外科集线器106、206通常可推断外科小组将执行的具体规程。一旦外科集线器106、206知道正在执行什么具体规程,外科集线器106、206便可从存储器或云中检索该规程的步骤,然后交叉参照其随后从所连接的数据源(例如,模块化装置和患者监测装置)接收的数据,以推断外科团队正在执行的外科规程的什么步骤。
第五步5210,工作人员成员将EKG电极和其它患者监测装置附接到患者。EKG电极和其它患者监测装置能够与外科集线器106、206配对。当外科集线器106、206开始从患者监测装置接收数据时,外科集线器106、206因此确认患者在手术室中。
第六步5212,医疗人员诱导患者麻醉。外科集线器106、206可基于来自模块化装置和/或患者监测装置的数据(包括例如EKG数据、血压数据、呼吸机数据、或它们的组合)推断患者处于麻醉下。在第六步5212完成时,肺分段切除规程的术前部分完成,并且手术部分开始。
第七步5214,折叠正在操作的患者肺部(同时通气切换到对侧肺)。例如,外科集线器106、206可从呼吸机数据推断出患者的肺已经塌缩。外科集线器106、206可推断规程的手术部分已开始,因为其可将患者的肺部塌缩的检测与规程的预期步骤(可先前访问或检索)进行比较,从而确定使肺塌缩是该特定规程中的手术步骤。
第八步5216,插入医疗成像装置(例如,内窥镜),并启动来自医疗成像装置的视频。外科集线器106、206通过其与医疗成像装置的连接来接收医疗成像装置数据(即,视频或图像数据)。在接收到医疗成像装置数据之后,外科集线器106、206可确定外科规程的腹腔镜式部分已开始。另外,外科集线器106、206可确定正在执行的特定规程是分段切除术,而不是叶切除术(注意,楔形规程已经基于外科集线器106、206基于在规程的第二步5204处接收到的数据而排除)。来自医疗成像装置124(图2)的数据可用于以多种不同的方式确定与正在执行的规程类型相关的背景信息,包括通过确定医疗成像装置相对于患者解剖结构的可视化取向的角度,监测所利用的医疗成像装置的数量(即,被激活并与外科集线器106、206配对),以及监测所利用的可视化装置的类型。例如,一种用于执行VATS肺叶切除术的技术将摄像机放置在隔膜上方的患者胸腔的下前拐角中,而一种用于执行VATS分段切除术的技术将摄像机相对于分段裂缝放置在前肋间位置。例如,使用模式识别或机器学习技术,可对态势感知系统进行训练,以根据患者解剖结构的可视化识别医疗成像装置的定位。作为另一个示例,一种用于执行VATS肺叶切除术的技术利用单个医疗成像装置,而用于执行VATS分段切除术的另一种技术利用多个摄像机。作为另一示例,一种用于执行VATS分段切除术的技术利用红外光源(其可作为可视化系统的一部分可通信地耦接到外科集线器)以可视化不用于VATS肺部切除术中的分段裂隙。通过从医疗成像装置跟踪这些数据中的任何或所有,外科集线器106、206因此可确定正在进行的外科规程的具体类型和/或用于特定类型的外科规程的技术。
第九步5218,外科团队开始规程的解剖步骤。外科集线器106、206可推断外科医生正在解剖以调动患者的肺,因为其从RF发生器或超声发生器接收指示正在击发能量器械的数据。外科集线器106、206可将所接收的数据与外科规程的检索步骤交叉,以确定在过程中的该点处(即,在先前讨论的规程步骤完成之后)击发的能量器械对应于解剖步骤。在某些情况下,能量器械可为安装到机器人外科系统的机械臂的能量工具。
第十步5220,外科团队继续进行规程的结扎步骤。外科集线器106、206可推断外科医生正在结扎动脉和静脉,因为其从外科缝合和切割器械接收指示器械正在被击发的数据。与先前步骤相似,外科集线器106、206可通过将来自外科缝合和切割器械的数据的接收与该过程中的检索步骤进行交叉引用来推导该推论。在某些情况下,外科器械可以是安装到机器人外科系统的机器人臂的外科工具。
第十一步5222,执行规程的分段切除术部分。外科集线器106、206可推断外科医生正在基于来自外科缝合和切割器械的数据(包括来自其仓的数据)横切软组织。仓数据可对应于例如由器械击发的钉的大小或类型。由于不同类型的钉用于不同类型的组织,因此仓数据可指示正被缝合和/或横切的组织的类型。在这种情况下,被击发的钉的类型用于软组织(或其它类似的组织类型),这允许外科集线器106、206推断规程的分段切除术部分正在进行。
第十二步5224中,执行节点解剖步骤。外科集线器106、206可基于从发生器接收的指示正在击发RF或超声器械的数据来推断外科团队正在解剖节点并且执行泄漏测试。对于该特定规程,在横切软组织后使用的RF或超声器械对应于节点解剖步骤,该步骤允许外科集线器106、206进行此类推论。应当指出的是,外科医生根据规程中的具体步骤定期在外科缝合/切割器械和外科能量(即,RF或超声)器械之间来回切换,因为不同器械更好地适于特定任务。因此,其中使用缝合/切割器械和外科能量器械的特定序列可指示外科医生正在执行的规程的步骤。此外,在某些情况下,机器人工具可用于外科规程中的一个或多个步骤,并且/或者手持式外科器械可用于外科规程中的一个或多个步骤。外科医生可例如在机器人工具与手持式外科器械之间交替和/或可同时使用装置。在第十二步5224完成时,切口被闭合并且规程的术后部分开始。
第十三步5226,逆转患者的麻醉。例如,外科集线器106、206可基于例如呼吸机数据(即,患者的呼吸率开始增加)推断出患者正在从麻醉中醒来。
最后,第十四步5228是医疗人员从患者移除各种患者监测装置。因此,当集线器从患者监测装置丢失EKG、BP和其它数据时,外科集线器106、206可推断患者正在被转移到恢复室。如从该示例性规程的描述可以看出,外科集线器106、206可根据从可通信地耦接到外科集线器106、206的各种数据源接收的数据来确定或推断给定外科规程的每个步骤何时发生。
态势感知还描述于2017年12月28日提交的标题为“INTERACTIVE SURGICALPLATFORM”的美国临时专利申请序列号62/611,341中,该申请的公开内容全文以引用方式并入本文。在某些情况下,机器人外科系统(包括本文所公开的各种机器人外科系统)的操作可由集线器106、206基于其态势感知和/或来自其部件的反馈和/或基于来自云102的信息来控制。
本文所述主题的各个方面在以下编号的实施例中陈述。
实施例1.一种外科图像采集系统,包括:多个照射源,其中每个照射源被配置为发射具有指定中心波长的光;光传感器,该光传感器被配置为当组织样本被该多个照射源中的一个或多个照射源照射时接收光的从组织样本反射的部分;以及计算系统,其中该计算系统被配置为:当组织样本被该多个照射源中的每个照射源照射时从该光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该结构的特性为表面特性或结构组成。
实施例2.根据实施例1中任一项所述的外科图像采集系统,其中该多个照射源包括红光照射源、绿光照射源和蓝光照射源中的至少一者。
实施例3.根据实施例1至2中任一项所述的外科图像采集系统,其中该多个照射源包括红外光照射源和紫外光照射源中的至少一者。
实施例4.根据实施例1至3中任一项所述的外科图像采集系统,其中被配置为计算与组织内的结构的特性相关的结构数据的计算系统包括被配置为计算与组织内的结构的组成相关的结构数据的计算系统。
实施例5.根据实施例1至4中任一项所述的外科图像采集系统,其中被配置为计算与组织内的结构的特性相关的结构数据的计算系统包括被配置为计算与组织内的结构的表面粗糙度相关的结构数据的计算系统。
实施例6.一种外科图像采集系统,包括:处理器;以及耦接到该处理器的存储器,该存储器存储指令,这些指令能由处理器执行以:控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;当组织样本被该多个照射源中的每个照射源照射时从光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该结构的特性为表面特性或结构组成。
实施例7.根据实施例6中任一项所述的外科图像采集系统,其中能由处理器执行以控制多个照射源的操作的指令包括用于由该多个照射源中的每个照射源依次照射组织样本的一个或多个指令。
实施例8.根据实施例6至实施例7中任一项所述的外科图像采集系统,其中能由处理器执行以基于由光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据的指令包括用于基于由组织样本反射的照射的相移来计算与组织样本内的结构的特性相关的结构数据的一个或多个指令。
实施例9.根据实施例6至8中任一项所述的外科图像采集系统,其中该结构组成包括组织中胶原和弹性蛋白的相对组成。
实施例10.根据实施例6至9中任一项所述的外科图像采集系统,其中该结构组成包括组织的水合量。
实施例11.一种外科图像采集系统,包括:控制电路,该控制电路被配置为:控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;当组织样本被该多个照射源中的每个照射源照射时从光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该结构的特性为表面特性或结构组成。
实施例12.根据实施例11中任一项所述的外科图像采集系统,其中该控制电路被配置为传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该智能外科装置是智能外科缝合器。
实施例13.根据实施例12中任一项所述的外科图像采集系统,其中该控制电路还被配置为基于结构的特性来传输与砧座压力相关的数据,该数据将由智能外科缝合器接收。
实施例14.根据实施例11至13中任一项所述的外科图像采集系统,其中该控制电路被配置为传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该智能外科装置是智能外科RF密封装置。
实施例15.根据实施例14中任一项所述的外科图像采集系统,其中该控制电路还被配置为基于结构的特性来传输与RF功率量相关的数据,该数据将由智能RF密封装置接收。
实施例16.根据实施例11至15中任一项所述的外科图像采集系统,其中该控制电路被配置为传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该智能外科装置是智能超声切割装置。
实施例17.根据实施例16中任一项所述的外科图像采集系统,其中该控制电路还被配置为基于结构的特性来传输与提供给超声换能器的功率量或该超声换能器的驱动频率相关的数据,该数据将由超声切割装置接收。
实施例18.一种存储计算机可读指令的非暂态计算机可读介质,这些计算机可读指令在被执行时,使得机器:控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;当组织样本被该多个照射源中的每个照射源照射时从光传感器接收数据;基于当组织样本被该照射源中的每个照射源照射时由光传感器接收的数据来计算与组织样本内的结构的特性相关的结构数据;以及传输与结构的特性相关的结构数据,该结构数据将由智能外科装置接收,其中该结构的特性为表面特性或结构组成。
尽管已举例说明和描述了多个形式,但是申请人的意图并非将所附权利要求的范围约束或限制在此类细节中。在不脱离本公开的范围的情况下,可实现对这些形式的许多修改、变化、改变、替换、组合和等同物,并且本领域技术人员将想到这些形式的许多修改、变化、改变、替换、组合和等同物。此外,另选地,可将与所描述的形式相关联的每个元件的结构描述为用于提供由所述元件执行的功能的部件。另外,在公开了用于某些部件的材料的情况下,也可使用其他材料。因此,应当理解,上述具体实施方式和所附权利要求旨在涵盖属于本发明所公开的形式范围内的所有此类修改形式、组合和变型形式。所附权利要求旨在涵盖所有此类修改、变化、改变、替换、修改和等同物。
上述具体实施方式已通过使用框图、流程图和/或示例阐述了装置和/或方法的各种形式。只要此类框图、流程图和/或示例包含一个或多个功能和/或操作,本领域的技术人员就要将其理解为此类框图、流程图和/或示例中的每个功能和/或操作都可以单独和/或共同地通过多种硬件、软件、固件或实际上它们的任何组合来实施。本领域的技术人员将会认识到,本文公开的形式中的一些方面可作为在一台或多台计算机上运行的一个或多个计算机程序(如,作为在一个或多个计算机系统上运行的一个或多个程序),作为在一个或多个处理器上运行的一个或多个程序(如,作为在一个或多个微处理器上运行的一个或多个程序),作为固件,或作为实际上它们的任何组合全部或部分地在集成电路中等效地实现,并且根据本发明,设计电子电路和/或编写软件和/或硬件的代码将在本领域技术人员的技术范围内。另外,本领域的技术人员将会认识到,本文所述主题的机制能够作为多种形式的一个或多个程序产品进行分布,并且本文所述主题的示例性形式适用,而不管用于实际进行分布的信号承载介质的具体类型是什么。
用于编程逻辑以执行各种所公开的方面的指令可存储在系统内的存储器内,诸如动态随机存取存储器(DRAM)、高速缓存、闪存存储器或其它存储器。此外,指令可经由网络或通过其它计算机可读介质来分发。因此,机器可读介质可包括用于存储或传输以机器(例如,计算机)可读形式的信息的机构,但不限于软盘、光学盘、光盘、只读存储器(CD-ROM)、磁光盘、只读存储器(ROM)、随机存取存储器(RAM)、可擦除可编程只读存储器(EPROM)、电可擦除可编程只读存储器(EEPROM)、磁卡或光卡、闪存存储器、或经由电信号、光学信号、声学信号或其它形式的传播信号(例如,载波、红外信号、数字信号等)在因特网上传输信息时使用的有形的、机器可读存储装置。因此,非暂态计算机可读介质包括适于以机器(例如,计算机)可读的形式存储或传输电子指令或信息的任何类型的有形机器可读介质。
如本文任一方面所用,术语“控制电路”可指例如硬连线电路系统、可编程电路系统(例如,计算机处理器,该计算机处理器包括一个或多个单独指令处理内核、处理单元,处理器、微控制器、微控制器单元、控制器、数字信号处理器(DSP)、可编程逻辑装置(PLD)、可编程逻辑阵列(PLA)、场可编程门阵列(FPGA))、状态机电路系统、存储由可编程电路系统执行的指令的固件、以及它们的任何组合。控制电路可以集体地或单独地实现为形成更大系统的一部分的电路系统,例如集成电路(IC)、专用集成电路(ASIC)、片上系统(SoC)、台式计算机、膝上型计算机、平板计算机、服务器、智能电话等。因此,如本文所用,“控制电路”包括但不限于具有至少一个离散电路的电子电路、具有至少一个集成电路的电子电路、具有至少一个专用集成电路的电子电路、形成由计算机程序配置的通用计算设备的电子电路(如,至少部分地实施本文所述的方法和/或设备的由计算机程序配置的通用计算机,或至少部分地实施本文所述的方法和/或设备的由计算机程序配置的微处理器)、形成存储器设备(如,形成随机存取存储器)的电子电路,和/或形成通信设备(如,调节解调器、通信开关或光电设备)的电子电路。本领域的技术人员将会认识到,可以模拟或数字方式或它们的一些组合实施本文所述的主题。
如本文的任何方面所用,术语“逻辑”可指被配置为执行前述操作中的任一者的应用程序、软件、固件和/或电路系统。软件可体现为记录在非暂态计算机可读存储介质上的软件包、代码、指令、指令集和/或数据。固件可以体现为在存储器设备中硬编码(例如,非易失性)的代码、指令或指令集和/或数据。
如本文任一方面所用,术语“部件”、“系统”、“模块”等可指计算机相关实体、硬件、硬件和软件的组合、软件或执行中的软件。
如本文任一方面中所用,“算法”是指导致所需结果的有条理的步骤序列,其中“步骤”是指物理量和/或逻辑状态的操纵,物理量和/或逻辑状态可以(但不一定)采用能被存储、转移、组合、比较和以其它方式操纵的电或磁信号的形式。常用于指这些信号,如位、值、元素、符号、字符、术语、数字等。这些和类似的术语可与适当的物理量相关联并且仅仅是应用于这些量和/或状态的方便的标签。
网络可包括分组交换网络。通信装置可能够使用所选择的分组交换网络通信协议来彼此通信。一个示例性通信协议可包括可允许使用传输控制协议/因特网协议(TCP/IP)进行通信的以太网通信协议。以太网协议可符合或兼容电气和电子工程师学会(IEEE)于2008年12月发布的名为“IEEE 802.3标准”的以太网标准和/或本标准的更高版本。另选地或附加地,通信装置可以能够使用X.25通信协议彼此通信。X.25通信协议可符合或符合国际电信联盟电信标准化部门(ITU-T)颁布的标准。另选地或附加地,通信装置可以能够使用帧中继通信协议彼此通信。帧中继通信协议可符合或符合国际电话和电话协商委员会(CCITT)和/或美国国家标准学会(ANSI)发布的标准。另选地或附加地,收发器可能够使用异步传输模式(ATM)通信协议彼此通信。ATM通信协议可符合或兼容ATM论坛于2001年8月发布的名为“ATM-MPLS网络互通2.0”的ATM标准和/或该标准的更高版本。当然,本文同样设想了不同的和/或之后开发的连接取向的网络通信协议。
除非上述公开中另外明确指明,否则可以理解的是,在上述公开中,使用术语诸如“处理”、“估算”、“计算”、“确定”、“显示”等的讨论是指计算机系统或类似的电子计算装置的动作和进程,其操纵表示为计算机系统的寄存器和存储器内的物理(电子)量的数据并将其转换成类似地表示为计算机系统存储器或寄存器或其他此类信息存储、传输或显示装置内的物理量的其他数据。
一个或多个部件在本文中可被称为“被配置为”、“可被配置为”、“可操作/可操作地”、“适于/可适于”、“能够”、“可适形/适形于”等。本领域的技术人员将会认识到,除非上下文另有所指,否则“被配置为”通常可涵盖活动状态的部件和/或未活动状态的部件和/或待机状态的部件。
术语“近侧”和“远侧”在本文中是相对于操纵外科器械的柄部部分的临床医生来使用的。术语“近侧”是指最靠近临床医生的部分,术语“远侧”是指远离临床医生定位的部分。还应当理解,为简洁和清楚起见,本文可结合附图使用诸如“竖直”、“水平”、“上”和“下”等空间术语。然而,外科器械在许多方向和位置中使用,并且这些术语并非限制性的和/或绝对的。
本领域的技术人员将认识到,一般而言,本文、以及特别是所附权利要求(例如,所附权利要求的正文)中所使用的术语通常旨在为“开放”术语(例如,术语“包括”应解释为“包括但不限于”,术语“具有”应解释为“至少具有”,术语“包含”应解释为“包含但不限于”等)。本领域的技术人员还应当理解,如果所引入权利要求叙述的具体数目为预期的,则这样的意图将在权利要求中明确叙述,并且在不存在这样的叙述的情况下,不存在这样的意图。例如,为有助于理解,下述所附权利要求可含有对介绍性短语“至少一个”和“一个或多个”的使用以引入权利要求。然而,对此类短语的使用不应视为暗示通过不定冠词“一个”或“一种”引入权利要求表述将含有此类引入权利要求表述的任何特定权利要求限制在含有仅一个这样的表述的权利要求中,甚至当同一权利要求包括介绍性短语“一个或多个”或“至少一个”和诸如“一个”或“一种”(例如,“一个”和/或“一种”通常应解释为意指“至少一个”或“一个或多个”)的不定冠词时;这也适用于对用于引入权利要求表述的定冠词的使用。
另外,即使明确叙述引入权利要求叙述的特定数目,本领域的技术人员应当认识到,此种叙述通常应解释为意指至少所叙述的数目(例如,在没有其它修饰语的情况下,对“两个叙述”的裸叙述通常意指至少两个叙述、或两个或更多个叙述)。此外,在其中使用类似于“A、B和C中的至少一者等”的惯例的那些情况下,一般而言,这种结构意在具有本领域的技术人员将理解所述惯例的意义(例如,“具有A、B和C中的至少一者的系统”将包括但不限于具有仅A、仅B、仅C、A和B一起、A和C一起、B和C一起和/或A、B和C一起等的系统)。在其中使用类似于“A、B或C中的至少一者等”的惯例的那些情况下,一般而言,这种结构意在具有本领域的技术人员将理解所述惯例的意义(例如,“具有A、B或C中的至少一者的系统”应当包括但不限于具有仅A、仅B、仅C、A和B一起、A和C一起、B和C一起和/或A、B和C一起等的系统)。本领域的技术人员还应当理解,通常,除非上下文另有指示,否则无论在具体实施方式、权利要求或附图中呈现两个或更多个替代术语的转折性词语和/或短语应理解为涵盖包括所述术语中的一者、所述术语中的任一个或这两个术语的可能性。例如,短语“A或B”通常将被理解为包括“A”或“B”或“A和B”的可能性。
对于所附的权利要求,本领域的技术人员将会理解,其中表述的操作通常可以任何顺序进行。另外,尽管以序列出了多个操作流程图,但应当理解,可以不同于所示顺序的其它顺序进行所述多个操作,或者可以同时进行所述多个操作。除非上下文另有规定,否则此类替代排序的示例可包括重叠、交错、中断、重新排序、增量、预备、补充、同时、反向,或其他改变的排序。此外,除非上下文另有规定,否则像“响应于”、“相关”这样的术语或其它过去式的形容词通常不旨在排除此类变体。
值得一提的是,任何对“一个方面”、“一方面”、“一范例”、“一个范例”的提及均意指结合所述方面所述的具体特征、结构或特性包括在至少一个方面中。因此,在整个说明书的不同位置出现的短语“在一个方面”、“在一方面”、“在一范例”、“在一个范例”不一定都指同一方面。此外,具体特征、结构或特性可在一个或多个方面中以任何合适的方式组合。
本说明书提及和/或在任何申请数据表中列出的任何专利申请,专利,非专利公布或其它公开材料均以引用方式并入本文,只要所并入的材料在此不一致。因此,并且在必要的程度下,本文明确列出的公开内容代替以引用方式并入本文的任何冲突材料。据称以引用方式并入本文但与本文列出的现有定义、陈述或其他公开材料相冲突的任何材料或其部分,将仅在所并入的材料与现有的公开材料之间不产生冲突的程度下并入。
概括地说,已经描述了由采用本文所述的概念产生的许多有益效果。为了举例说明和描述的目的,已经提供了一个或多个形式的上述具体实施方式。这些具体实施方式并非意图为详尽的或限定到本发明所公开的精确形式。可以按照上述教导内容对本发明进行修改或变型。选择和描述的一个或多个形式是为了说明原理和实际应用,从而使本领域的普通技术人员能够利用适用于预期的特定用途的所述多个形式和多种修改形式。与此一同提交的权利要求书旨在限定完整范围。
Claims (18)
1.一种外科图像采集系统,包括:
多个照射源,其中每个照射源被配置为发射具有指定中心波长的光;光传感器,所述光传感器被配置为当组织样本被所述多个照射源中的一个或多个照射源照射时接收所述光的从所述组织样本反射的部分;以及
计算系统,其中所述计算系统被配置为:
当所述组织样本被所述多个照射源中的每个照射源照射时从所述光传感器接收数据;
基于当所述组织样本被所述照射源中的每个照射源照射时由所述光传感器接收的所述数据来计算与所述组织样本内的结构的特性相关的结构数据;以及
传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,
其中所述结构的所述特性为表面特性或结构组成。
2.根据权利要求1所述的外科图像采集系统,其中所述多个照射源包括红光照射源、绿光照射源和蓝光照射源中的至少一者。
3.根据权利要求1所述的外科图像采集系统,其中所述多个照射源包括红外光照射源和紫外光照射源中的至少一者。
4.根据权利要求1所述的外科图像采集系统,其中被配置为计算与所述组织内的结构的特性相关的结构数据的所述计算系统包括被配置为计算与所述组织内的结构的组成相关的结构数据的计算系统。
5.根据权利要求1所述的外科图像采集系统,其中被配置为计算与所述组织内的结构的特性相关的结构数据的所述计算系统包括被配置为计算与所述组织内的结构的表面粗糙度相关的结构数据的计算系统。
6.一种外科图像采集系统,包括:
处理器;以及
耦接到所述处理器的存储器,所述存储器存储指令,所述指令能由所述处理器执行以:
控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;
当所述组织样本被所述多个照射源中的每个照射源照射时从所述光传感器接收数据;
基于当所述组织样本被所述照射源中的每个照射源照射时由所述光传感器接收的所述数据来计算与所述组织样本内的结构的特性相关的结构数据;以及
传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,
其中所述结构的所述特性为表面特性或结构组成。
7.根据权利要求6所述的外科图像采集系统,其中能由所述处理器执行以控制多个照射源的操作的所述指令包括用于由所述多个照射源中的每个照射源依次照射所述组织样本的一个或多个指令。
8.根据权利要求6所述的外科图像采集系统,其中能由所述处理器执行以基于由所述光传感器接收的所述数据来计算与所述组织样本内的结构的特性相关的结构数据的所述指令包括用于基于由所述组织样本反射的照射的相移来计算与所述组织样本内的结构的特性相关的结构数据的一个或多个指令。
9.根据权利要求6所述的外科图像采集系统,其中所述结构组成包括组织中胶原和弹性蛋白的相对组成。
10.根据权利要求6所述的外科图像采集系统,其中所述结构组成包括组织的水合量。
11.一种外科图像采集系统,包括:
控制电路,所述控制电路被配置为:
控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;
当所述组织样本被所述多个照射源中的每个照射源照射时从所述光传感器接收数据;
基于当所述组织样本被所述照射源中的每个照射源照射时由所述光传感器接收的所述数据来计算与所述组织样本内的结构的特性相关的结构数据;以及
传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,
其中所述结构的所述特性为表面特性或结构组成。
12.根据权利要求11所述的外科图像采集系统,其中所述控制电路被配置为传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,其中所述智能外科装置是智能外科缝合器。
13.根据权利要求12所述的外科图像采集系统,其中所述控制电路还被配置为基于所述结构的所述特性来传输与砧座压力相关的数据,所述数据将由所述智能外科缝合器接收。
14.根据权利要求11所述的外科图像采集系统,其中所述控制电路被配置为传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,其中所述智能外科装置是智能外科RF密封装置。
15.根据权利要求14所述的外科图像采集系统,其中所述控制电路还被配置为基于所述结构的所述特性来传输与RF功率量相关的数据,所述数据将由所述智能RF密封装置接收。
16.根据权利要求11所述的外科图像采集系统,其中所述控制电路被配置为传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,其中所述智能外科装置是智能超声切割装置。
17.根据权利要求16所述的外科图像采集系统,其中所述控制电路还被配置为基于所述结构的所述特性来传输与提供给超声换能器的功率量或该超声换能器的驱动频率相关的数据,所述数据将由所述超声切割装置接收。
18.一种存储计算机可读指令的非暂态计算机可读介质,所述计算机可读指令在被执行时,使得机器:
控制组织样本的多个照射源的操作,其中每个照射源被配置为发射具有指定中心波长的光;
当所述组织样本被所述多个照射源中的每个照射源照射时从所述光传感器接收数据;
基于当所述组织样本被所述照射源中的每个照射源照射时由所述光传感器接收的所述数据来计算与所述组织样本内的结构的特性相关的结构数据;以及
传输与所述结构的所述特性相关的所述结构数据,所述结构数据将由智能外科装置接收,
其中所述结构的所述特性为表面特性或结构组成。
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PCT/IB2018/055697 WO2019130073A1 (en) | 2017-12-28 | 2018-07-30 | Characterization of tissue irregularities through the use of monochromatic light refractivity |
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WO2019130073A1 (en) | 2019-07-04 |
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BR112020012974A2 (pt) | 2020-11-24 |
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