WO2020107892A1 - 一种自适应集中显示医学影像曲线的系统及方法 - Google Patents

一种自适应集中显示医学影像曲线的系统及方法 Download PDF

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WO2020107892A1
WO2020107892A1 PCT/CN2019/094806 CN2019094806W WO2020107892A1 WO 2020107892 A1 WO2020107892 A1 WO 2020107892A1 CN 2019094806 W CN2019094806 W CN 2019094806W WO 2020107892 A1 WO2020107892 A1 WO 2020107892A1
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image
display system
image display
curves
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王卫
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南京巨鲨显示科技有限公司
南京巨鲨医疗科技有限公司
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
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  • the invention relates to a system and method for adaptively displaying medical image curves centrally, belonging to the technical field of medical image processing.
  • the technical problem to be solved by the present invention is to overcome the defects of the prior art, and to provide a system and method for adaptively displaying medical image curves in a centralized manner, which can simultaneously and accurately display various medical images in the same image display system.
  • An adaptive system for centralized display of medical image curves includes an image type automatic identification system and an image display system that run and display a software system on a host computer, and the image type automatic identification system and the image display system are connected by a wired or wireless connection .
  • the above system for adaptively displaying medical image curves centrally.
  • the image display system includes the host, a graphics card integrated on the host, and a display device.
  • the display device is a display or a projector.
  • An adaptive method for centralized display of medical image curves includes the following steps:
  • Step 1 The image display system pre-stores curve LUTs of all medical image types
  • Step 2 The image type automatic recognition system automatically recognizes the type of image and its display coordinate position in the image display system
  • Step 3 The image type automatic recognition system sends the recognized image type and its coordinates to the image display system;
  • Step 4 The image display system calls the curve LUT stored in step 1 according to the received image type and coordinate position by region.
  • the image display system prestores curve LUTs that are compatible with the display device and are suitable for all types of medical images.
  • the image type automatic recognition system can automatically recognize the image type to be displayed on the image display system and its corresponding display coordinates in the image display system,
  • the automatic identification method is to acquire or grab images from the PACS software for data analysis.
  • the automatic image type recognition system sends the recognized image type and its coordinates to the image display system by wireless or wired the way.
  • the image display system automatically recognizes the image type issued by the system and its corresponding coordinate position according to the image type, and calls it in the corresponding coordinate area Curve LUT corresponding to this image type.
  • the medical image curve adaptation technology of the present invention intelligently recognizes the different image types to be displayed and their corresponding coordinate positions in the display system, and sends them to the display system.
  • the display system automatically calls the calibration LUT corresponding to the issued coordinate position and influence type, so as to realize accurate and professional display of various medical images in the same display system.
  • FIG. 1 is a schematic diagram of an implementation solution in Embodiment 1 of the present invention.
  • the system for adaptively displaying medical image curves of the present invention includes an image type automatic identification system and an image display system that run and display a software system on a host computer.
  • the image type automatic identification system and the image display system are wired Or wireless connection, it should be noted that the image type automatic identification system and the image display system are both products of the prior art.
  • the image display system includes a host, a graphics card and a display device integrated on the host, and the display device is a display or a projector.
  • An adaptive method for centrally displaying medical image curves includes the following steps:
  • Step 1 The image display system pre-stores curve LUTs of all medical image types
  • Step 2 The image type automatic recognition system automatically recognizes the type of image and its display coordinate position in the image display system
  • Step 3 The image type automatic recognition system sends the recognized image type and its coordinates to the image display system;
  • Step 4 The image display system calls the curve LUT stored in step 1 according to the received image type and coordinate position by region.
  • the image display system pre-stores a curve LUT that is compatible with the display device and is suitable for all medical image types; in step two, the image type automatic recognition system can automatically recognize the image to be displayed on the image display system The type of image and its corresponding display coordinates in the image display system.
  • the automatic identification method is to obtain or grab images from other software such as PACS software for data analysis. Both of these automatic identification methods are existing technologies; in step three In the process, the image type automatic recognition system sends the recognized image type and its coordinates to the image display system.
  • the distribution method is wireless or wired; in step four, the image display system automatically recognizes the system according to the image type. The image type and corresponding coordinate position of the image, call the curve LUT corresponding to this image type in the corresponding coordinate area.
  • the image display system calibrates for various image types, and pre-stores different curve LUTs suitable for the display device and applicable to various medical images.
  • calibration for ultrasound images The curve LUT is LUT1
  • the calibration curve made for the CT image is LUT2
  • LUT1 and LUT2 are pre-stored on the display respectively for recall;
  • the image type automatic identification system can automatically identify the image type to be displayed on the display system and its corresponding display coordinates on the display system.
  • the automatic identification method can be obtained from other software such as PACS software or can be grabbed
  • the image is obtained through data analysis; for example, the image displayed in the display system is now captured and obtained through data analysis: now a total of two images are displayed on the display, which are the ultrasound image 01 and the CT image 02, and their corresponding starting coordinates Respectively ((0,0), (1920,2160)), ((1920,0), (3840,2160));
  • the automatic image type recognition system sends the recognized image type and its coordinates to the image display system.
  • the distribution method can be wireless or wired; for example, the first image type 01 obtained in step two, The corresponding coordinate position is ((0,0), (1920,2160)); the second image type 02, the corresponding coordinate position is ((1920,0), (3840,2160)); the image type automatic recognition system This information can be sent to the image display system via USB communication.
  • the image display system automatically recognizes the image type issued by the system and its corresponding coordinate position according to the image type, displays and calls the curve LUT suitable for this image type in the corresponding coordinate sub-area; if the display system receives the step After the two image information issued by the three, it will automatically call the curve LUT1 in the coordinate area ((0,0), (1920,2160)), and in the coordinate area ((1920,0), (3840,2160) ) Calls the curve LUT2, so that each image can be displayed on the display device at the same time, and are professionally accurate.

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Abstract

本发明公开了一种自适应集中显示医学影像曲线的系统及方法,其特征在于包括影像类型自动识别系统与影像显示系统;所述影像类型自动识别系统识别到不同影像的类型与其坐标位置,并传送至影像显示系统;所述影像显示系统预先存储各种影像类型图像的校准曲线LUT,当接收到影像类型自动识别系统发送的影像类型及坐标位置时,影像显示系统会在相应的坐标区域内调用相对应于其曲线类型的曲线LUT。本发明的有益效果为:本发明提供一种自适应集中显示医学影像曲线的方法,能够实现在同一台影像显示系统中同时准确专业的显示各类医学影像。

Description

一种自适应集中显示医学影像曲线的系统及方法 技术领域
本发明涉及一种自适应集中显示医学影像曲线的系统及方法,属于医学影像处理技术领域。
背景技术
随着医学影像数字可视化进程的不断推进,各种医疗设备越来越多,医学影像显示设备得到了长足的发展,进而给患者带来了更多的福音。借助各医疗设备呈现的影像使得病灶更易被医生观察,最大程度上避免了误诊、漏诊的可能性,既方便了医生又造福了患者。
各医疗设备为了可以完美显示医学影像,都对显示系统进行了专业的针对性校准。而近年来多学科会诊需要将各类影像在同一台显示系统中集中显示,这就对显示系统提出了新的要求:需要智能的之别所要显示的医学影像并调用其对应的校准LUT(Look-Up-Table,显示查找表)。
发明内容
本发明所要解决的技术问题是克服现有技术的缺陷,提供一种自适应集中显示医学影像曲线的系统及方法,能够实现在同一台影像显示系统中同时准确专业的显示各类医学影像。
为了实现上述目标,本发明采用如下的技术方案:
一种自适应集中显示医学影像曲线的系统,包括运行与显示主机上的软件系统的影像类型自动识别系统和影像显示系统,所述影像类型自动识别系统与影像显示系统通过有线或无线连接方式连接。
上述的一种自适应集中显示医学影像曲线的系统,所述影像显示系统包括所述主机、集成在所述主机上的显卡和显示设备,所述显示设备为显示器或投影仪。
一种自适应集中显示医学影像曲线的方法,基于上述的自适应集中显示医学影像曲线的系统,包括以下步骤:
步骤一:影像显示系统预存所有医学影像类型的曲线LUT;
步骤二:影像类型自动识别系统自动识别影像的类型及其在影像显示系统的显示坐标位置;
步骤三:影像类型自动识别系统将识别的影像类型及其坐标下发给影像显示系统;
步骤四:影像显示系统根据接收到的影像类型及坐标位置分区域调用所述步骤一所存储的曲线LUT。
上述的一种自适应集中显示医学影像曲线的方法,所述步骤一中,所述影像显示系统中预存与显示设备相适应的、且适用与所有医学影像类型的曲线LUT。
上述的一种自适应集中显示医学影像曲线的方法,所述步骤二中,所述影像类型自动识别系统能够自动识别要显示到影像显示系统的影像类型及其对应在影像显示系统的显示坐标,所述自动识别的方式为从PACS软件中获取或抓取图像进行数据分析。
上述的一种自适应集中显示医学影像曲线的方法,所述步骤三中,影像类型自动识别系统将识别到的影像类型及其坐标下发给影像显示系统,下发方式是通过无线或有线的方式。
上述的一种自适应集中显示医学影像曲线的方法,所述步骤四中,所述影像显示系统根据影像类型自动识别系统下发的影像类型及其对应的坐标位置,在相应的坐标区域内调用对应此影像类型的曲线LUT。
本发明所达到的有益效果:本发明的医学影像曲线自适应技术,影像自动识别系统智能的识别所要显示的不同的影像类型及其在显示系统中对应的坐标位置,并下发给显示系统。显示系统根据下发的坐标位置与影响类型自动的调用相对应的校准LUT,从而实现在同一台显示系统中准确专业的显示各类医学影像。
附图说明
图1为本发明的实施例一中实现方案示意图。
具体实施方式
下面结合附图对本发明作进一步描述。以下实施例仅用于更加清楚地说明本发明的技术方案,而不能以此来限制本发明的保护范围。
如图1所示,本发明的自适应集中显示医学影像曲线的系统,包括运行与显示主机上的软件系统的影像类型自动识别系统和影像显示系统,影像类型自动识别系统与影像显示系统通过有线或无线连接方式连接,需要说明的是影像类型自动识别系统和影像显示系统都为现有技术产品。
优先地,影像显示系统包括主机、集成在主机上的显卡和显示设备,显示设备为显示器或投影仪。
一种自适应集中显示医学影像曲线的方法,基于本发明的自适应集中显示医学影像曲线的系统,包括以下步骤:
步骤一:影像显示系统预存所有医学影像类型的曲线LUT;
步骤二:影像类型自动识别系统自动识别影像的类型及其在影像显示系统的显示坐标位置;
步骤三:影像类型自动识别系统将识别的影像类型及其坐标下发给影像显示系统;
步骤四:影像显示系统根据接收到的影像类型及坐标位置分区域调用步骤一所存储的曲线LUT。
进一步地,在步骤一中,影像显示系统中预存与显示设备相适应的、且适用与所有医学影像类型的曲线LUT;在步骤二中,影像类型自动识别系统能够自动识别要显示到影像显示系统的影像类型及其对应在影像显示系统的显示坐标,自动识别的方式为从PACS软件等其他软件中获取或抓取图像进行数据分析,这两种自动识别方式皆为现有技术;在步骤三中,影像类型自动识别系统将识别到的影像类型及其坐标下发给影像显示系统,下发方式是通过无线或有线的方式;在步骤四中,影像显示系统根据影像类型自动识别系统下发的影像类型及其对应的坐标位置,在相应的坐标区域内调用对应此影像类型的曲线LUT。
实施例一:
第一步骤中,影像显示系统针对各种影像类型进行校准,并预存与显示设备相适应的适用与各种医学影像的不同曲线LUT,以超声图像与CT图像为例:针对超声图像做的校准曲线LUT为LUT1,针对CT图像做的校准曲线为LUT2;LUT1、LUT2分别预存到显示器,以供调用;
第二步骤中,影像类型自动识别系统可以自动识别要显示到显示系统的影像类型及其对应在显示系统的显示坐标,其自动识别的方式可以从PACS软件 等其他软件中获取,也可以抓取图像进行数据分析得出;例如,现在抓取在显示系统中显示的图像,通过数据分析得到:现在显示器上共显示两幅图像,分别为超声图像01,CT图像02,其对应的起始坐标分别为((0,0),(1920,2160)),((1920,0),(3840,2160));
第三步骤中,影像类型自动识别系统将识别到的影像类型及其坐标下发给影像显示系统,下发方式可以通过无线或有线等方式;如步骤二中获取的第一幅图像类型01,对应的坐标位置为((0,0),(1920,2160));第二幅图像类型02,对应的坐标位置为((1920,0),(3840,2160));影像类型自动识别系统可以将这些信息通过USB通信发送给影像显示系统。
第四步骤中,影像显示系统根据影像类型自动识别系统下发的影像类型及其对应的坐标位置,在相应的坐标分区域显示并调用适合此影像类型的曲线LUT;如显示系统在收到步骤三中下发的两个图像信息之后,会自动的在坐标区域((0,0),(1920,2160))内调用曲线LUT1,在坐标区域((1920,0),(3840,2160))内调用曲线LUT2,从而使每一幅图图像都可以同时在显示设备上显示,并且都是专业准确的。
以上所述仅是本发明的优选实施方式,应当指出,对于本技术领域的普通技术人员来说,在不脱离本发明技术原理的前提下,还可以做出若干改进和变形,这些改进和变形也应视为本发明的保护范围。

Claims (7)

  1. 一种自适应集中显示医学影像曲线的系统,其特征在于:包括运行与显示主机上的软件系统的影像类型自动识别系统和影像显示系统,所述影像类型自动识别系统与影像显示系统通过有线或无线连接方式连接。
  2. 根据权利要求1所述的一种自适应集中显示医学影像曲线的系统,其特征在于:所述影像显示系统包括所述主机、集成在所述主机上的显卡和显示设备,所述显示设备为显示器或投影仪。
  3. 一种自适应集中显示医学影像曲线的方法,基于权利要求1或2所述的自适应集中显示医学影像曲线的系统,其特征在于,包括以下步骤:
    步骤一:影像显示系统预存所有医学影像类型的曲线LUT;
    步骤二:影像类型自动识别系统自动识别影像的类型及其在影像显示系统的显示坐标位置;
    步骤三:影像类型自动识别系统将识别的影像类型及其坐标下发给影像显示系统;
    步骤四:影像显示系统根据接收到的影像类型及坐标位置分区域调用所述步骤一所存储的曲线LUT。
  4. 根据权利要求3所述的一种自适应集中显示医学影像曲线的方法,其特征在于:所述步骤一中,所述影像显示系统中预存与显示设备相适应的、且适用与所有医学影像类型的曲线LUT。
  5. 根据权利要求3所述的一种自适应集中显示医学影像曲线的方法,其特征在于:所述步骤二中,所述影像类型自动识别系统能够自动识别要显示到影像显示系统的影像类型及其对应在影像显示系统的显示坐标,所述自动识别的 方式为从PACS软件中获取或抓取图像进行数据分析。
  6. 根据权利要求3所述的一种自适应集中显示医学影像曲线的方法,其特征在于:所述步骤三中,影像类型自动识别系统将识别到的影像类型及其坐标下发给影像显示系统,下发方式是通过无线或有线的方式。
  7. 根据权利要求3所述的一种自适应集中显示医学影像曲线的方法,其特征在于:所述步骤四中,所述影像显示系统根据影像类型自动识别系统下发的影像类型及其对应的坐标位置,在相应的坐标区域内调用对应此影像类型的曲线LUT。
PCT/CN2019/094806 2018-11-27 2019-07-05 一种自适应集中显示医学影像曲线的系统及方法 WO2020107892A1 (zh)

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CN110135518A (zh) * 2019-05-24 2019-08-16 南京巨鲨显示科技有限公司 一种具有医学多模态影像自适应功能的显示装置

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106157904A (zh) * 2015-04-22 2016-11-23 深圳市巨烽显示科技有限公司 液晶显示器及其显示器自动校正方法和装置
CN106909778A (zh) * 2017-02-09 2017-06-30 北京市计算中心 一种基于深度学习的多模态医学影像识别方法及装置
CN109544539A (zh) * 2018-11-27 2019-03-29 南京巨鲨显示科技有限公司 一种自适应集中显示医学影像曲线的系统及方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102566957B (zh) * 2011-12-13 2015-06-10 安科智慧城市技术(中国)有限公司 一种多媒体信息发布系统的分屏方法及分屏装置
KR102244258B1 (ko) * 2013-10-04 2021-04-27 삼성전자주식회사 디스플레이 장치 및 이를 이용한 영상표시방법
CN106791759B (zh) * 2016-12-14 2019-08-06 南京巨鲨显示科技有限公司 医用显示器色彩均匀性校正方法及校正系统
CN108334733B (zh) * 2017-09-01 2021-03-16 上海联影医疗科技股份有限公司 医学图像显示方法、显示系统及计算机可读存储介质
CN108055480B (zh) * 2017-12-25 2023-12-01 南京巨鲨显示科技有限公司 一种单路视频信号输入多开窗显示器

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106157904A (zh) * 2015-04-22 2016-11-23 深圳市巨烽显示科技有限公司 液晶显示器及其显示器自动校正方法和装置
CN106909778A (zh) * 2017-02-09 2017-06-30 北京市计算中心 一种基于深度学习的多模态医学影像识别方法及装置
CN109544539A (zh) * 2018-11-27 2019-03-29 南京巨鲨显示科技有限公司 一种自适应集中显示医学影像曲线的系统及方法

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