WO2022052651A1 - 一种基于图像引导的人工智能高强度聚焦超声治疗系统及其使用方法 - Google Patents

一种基于图像引导的人工智能高强度聚焦超声治疗系统及其使用方法 Download PDF

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WO2022052651A1
WO2022052651A1 PCT/CN2021/108030 CN2021108030W WO2022052651A1 WO 2022052651 A1 WO2022052651 A1 WO 2022052651A1 CN 2021108030 W CN2021108030 W CN 2021108030W WO 2022052651 A1 WO2022052651 A1 WO 2022052651A1
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treatment
image
focused ultrasound
plan
artificial intelligence
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杨峂
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杭州福嵩科技有限责任公司
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N7/00—Ultrasound therapy
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N7/00—Ultrasound therapy
    • A61N2007/0052—Ultrasound therapy using the same transducer for therapy and imaging

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  • the invention relates to the field of high-intensity focused ultrasound therapy, in particular to an image-guided artificial intelligence high-intensity focused ultrasound therapy system and a method for using the same.
  • the present invention provides an image-guided artificial intelligence high-intensity focused ultrasound treatment system and a method for using the same, so as to solve the above-mentioned problems.
  • the present invention adopts such an artificial intelligence high-intensity focused ultrasound treatment system based on image guidance, which is characterized in that it includes an image acquisition device, an operation platform, artificial intelligence image recognition software, intelligent treatment planning software, and focused ultrasound treatment.
  • the device, the image recognition software and the treatment planning software are built into the operation platform, and the image acquisition device, the operation platform and the focused ultrasound treatment device are connected in sequence.
  • the present invention also provides a method for using artificial intelligence high-intensity focused ultrasound based on image guidance, which is characterized by comprising the following steps.
  • S1-image acquisition equipment collects the image of the lesion area and transmits it to the operation platform.
  • the S2-operating platform displays the image of the lesion area, and the image is analyzed by artificial intelligence image recognition software, and the lesion and surrounding normal tissues and vital organs are drawn, which is confirmed by the treating doctor.
  • the S3-treatment planning software designs the treatment plan through the images drawn by the image recognition software, and the plan is confirmed and approved by the treating doctor.
  • the data is recorded; if approved, it can be uploaded to the data platform, through big data calculation, to further improve the intelligence and reliability of the software, and regularly release the improved version, and transmit it back to each treatment center for independent use.
  • the present invention designs a high-intensity focused ultrasound treatment system based on image guidance and its use method, which helps doctors to design and decide medical plans, reduces labor intensity and shortens learning curve. Through big data and artificial intelligence, continuous learning and improvement, and continuous optimization of treatment plans and efficacy.
  • FIG. 1 is an image acquired by an ultrasound image of a normal thyroid of the present invention.
  • FIG. 2 is an image of the lesion and surrounding normal tissues and organs analyzed and drawn by the artificial intelligence image recognition software according to the present invention.
  • Figure 3 is a schematic diagram of the treatment of the present invention.
  • Figure 2 is an image of the lesion and surrounding normal tissues and organs after being analyzed by artificial intelligence image recognition software in the present invention.
  • FIG. 3 is a schematic diagram of the treatment of the present invention.
  • each tumor is divided into multiple treatment levels, this figure shows one of the levels, each tumor level has multiple treatment points distribution, each treatment point is about 3*5mm in size, the power used , intensity, total energy, and treatment angle are determined by the artificial intelligence system according to its position and adjacent organs and structures, and the treatment parameters of each point are independent.
  • the present invention adopts such a high-intensity focused ultrasound treatment system based on image guidance, including image acquisition equipment, operation platform, artificial intelligence image recognition software, intelligent treatment planning software and focused ultrasound treatment equipment, the image recognition software and treatment planning software It is built in the operation platform, and the image acquisition device, the operation platform and the focused ultrasound treatment device are connected in sequence.
  • image guidance including image acquisition equipment, operation platform, artificial intelligence image recognition software, intelligent treatment planning software and focused ultrasound treatment equipment, the image recognition software and treatment planning software It is built in the operation platform, and the image acquisition device, the operation platform and the focused ultrasound treatment device are connected in sequence.
  • many of the current medical image recognition software are non-intelligent, and artificial intelligence recognition is mostly used in diagnosis rather than treatment; treatment planning software is mostly found in radiotherapy systems, and most of them are non-intelligent software.
  • the image acquisition devices include ultrasound, CT, magnetic resonance, PET-CT and so on.
  • the present invention also provides a method for using high-intensity focused ultrasound based on image guidance, which is characterized by comprising the following steps.
  • S1-image acquisition equipment collects the image of the lesion area and transmits it to the operation platform.
  • the S2-operating platform displays the image of the lesion area, analyzes the image through image recognition software, and depicts the lesion and surrounding normal tissues and vital organs, which are confirmed by the treating doctor.
  • the S3-intelligent treatment planning software designs the treatment plan through the images drawn by the image recognition software, and the plan is confirmed and approved by the treating doctor.
  • the S1-image acquisition device collects the image of the lesion area, that is, the image of the thyroid, and transmits it to the operation platform.
  • the S2-image is displayed on the operating platform, and the image is analyzed by the built-in artificial intelligence image recognition software to describe the thyroid and surrounding important organs. Includes delineation of tumor, normal thyroid tissue, skin, trachea, carotid artery and internal jugular vein, recurrent nerve, and superior laryngeal nerve. Confirmed by treating physician.
  • the intelligent treatment planning software designs the treatment plan: treatment range, power, intensity, total energy of different treatment points, time interval, treatment level, number of repetitions, etc.; to ensure that the treatment area and dangerous organs are kept safe distance and angle. Confirmed and approved by the treating physician.
  • the S4-treatment plan is transmitted to the high-intensity focused ultrasound treatment equipment, and the equipment automatically implements the entire treatment process according to the plan, including energy emission, stop, and movement of the energy emission device. Review and approve.
  • the manual operation mode can be selected to supplement the treatment; if the doctor thinks that the automatic treatment plan is completely unsuitable for the patient, part or all of the manual operation can be selected to formulate the plan and implement the treatment.
  • the present invention designs a high-intensity focused ultrasound treatment system based on image guidance and its use method, which helps doctors to design and decide medical plans, reduces labor intensity and shortens learning curve. Through big data and artificial intelligence, continuous learning and improvement, and continuous optimization of treatment plans and efficacy.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • General Health & Medical Sciences (AREA)
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Abstract

本发明涉及一种基于图像引导的人工智能高强度聚焦超声治疗系统，包括图像采集设备、操作平台、人工智能图像识别软件、智能治疗计划软件以及聚焦超声治疗设备，所述人工智能图像识别软件以及智能治疗计划软件内置于操作平台，所述图像采集设备、操作平台以及聚焦超声治疗设备依次连接。本发明设计的一种基于图像引导的人工智能高强度聚焦超声治疗系统及其使用方法，帮助医生设计、决策医疗方案，降低劳动强度，缩短学习曲线。

Description

一种基于图像引导的人工智能高强度聚焦超声治疗系统及其使用方法 技术领域
本发明涉及高强度聚焦超声治疗领域，具体涉及一种基于图像引导的人工智能高强度聚焦超声治疗系统及其使用方法。
 背景技术
目前临床治疗手段多样化，集合了跨学科、跨工程的治疗设备，比如高强度聚焦超声系统；但是由于临床医生各自专业的局限性，熟悉掌握速度比较慢，学习曲线比较长；导致新技术推广困难。
 技术问题
由于临床医生各自专业的局限性，熟悉掌握速度比较慢，学习曲线比较长；导致新技术推广困难。
 技术解决方案
有鉴于此，针对上述的不足之处，本发明提供一种基于图像引导的人工智能高强度聚焦超声治疗系统及其使用方法，从而解决上述问题。
为了实现以上目的，本发明采用这样一种基于图像引导的人工智能高强度聚焦超声治疗系统，其特征在于：包括图像采集设备、操作平台、人工智能图像识别软件、智能治疗计划软件以及聚焦超声治疗设备，所述图像识别软件以及治疗计划软件内置于操作平台，所述图像采集设备、操作平台以及聚焦超声治疗设备依次连接。
除此之外，本发明还提供了一种基于图像引导的人工智能高强度聚焦超声使用方法，其特征在于：包括如下步骤。
S1-图像采集设备采集病灶区域图像，传输至操作平台。
S2-操作平台显示病灶区域图像，通过人工智能图像识别软件对图像进行分析，描画出病灶及周围正常组织和重要器官，由治疗医生进行确认。
S3-治疗计划软件通过图像识别软件描画出的图像进行设计治疗方案,方案通过治疗医生确认并核准。
S4-经过确认核准的治疗方案传输至聚焦超声治疗设备，聚焦超声治疗设备自动按计划方案实施治疗过程，待完成整体方案治疗后，反馈信息至操作平台，提醒医生查看并核准。
S5-若治疗医生认为自动治疗方案有瑕疵，选择人工操作模式补充治疗；若医生认为自动治疗方案完全不适合该患者，选择部分或者全部人工操作制定计划、实施治疗。
S6-治疗结束，数据记录；如果获得许可，可以上传至数据平台，通过大数据计算，进一步提升软件智能和可靠性,定期发布改进版本，并传输回各个治疗中心，自主选择使用。
 有益效果
本发明设计了一种基于图像引导的高强度聚焦超声治疗系统及其使用方法，帮助医生设计、决策医疗方案，降低劳动强度，缩短学习曲线。通过大数据及人工智能，持续学习并提升，不断优化治疗方案和疗效。
 附图说明
图1为本发明正常甲状腺超声图像采集图像。
图2为本发明经人工智能图像识别软件分析绘制的病灶与周围正常组织、器官的图像。
图3为本发明治疗示意图。
 本发明的最佳实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合实施例对本发明的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
图2为本发明经人工智能图像识别软件分析后，标注出:病灶与周围正常组织、器官的图像。
图3为本发明治疗示意图；每个肿瘤分割成多个治疗层面，本图示意其中一个层面，每个肿瘤层面有多个治疗点分布，每个治疗点约3*5mm大小，所使用的功率、强度、总能量、治疗角度，由人工智能系统根据其所处的位置及毗邻器官、结构决定，每个点的治疗参数都是独立的。
本发明采用这样一种基于图像引导的高强度聚焦超声治疗系统，包括图像采集设备、操作平台、人工智能图像识别软件、智能治疗计划软件以及聚焦超声治疗设备，所述图像识别软件以及治疗计划软件内置于操作平台，所述图像采集设备、操作平台以及聚焦超声治疗设备依次连接。其中目前的医学图像识别软件很多是非智能的，人工智能识别多应用于诊断而非治疗；治疗计划软件多见于放射治疗系统，多数是非智能软件。
其中图像采集设别包括超声，CT，磁共振，PET-CT等。
除此之外，本发明还提供了一种基于图像引导的高强度聚焦超声使用方法，其特征在于：包括如下步骤。
S1-图像采集设备采集病灶区域图像，传输至操作平台。
S2-操作平台显示病灶区域图像，通过图像识别软件对图像进行分析，描画出病灶及周围正常组织和重要器官，由治疗医生进行确认。
S3-智能治疗计划软件通过图像识别软件描画出的图像进行设计治疗方案,方案通过治疗医生确认并核准。
S4-经过确认核准的治疗方案传输至聚焦超声治疗设备，聚焦超声治疗设备自动按计划方案实施治疗过程，待完成整体方案治疗后，反馈信息至操作平台，提醒医生查看并核准。
S5-若治疗医生认为自动治疗方案有瑕疵，选择人工操作模式补充治疗；若医生认为自动治疗方案完全不适合该患者，选择部分或者全部人工操作制定计划、实施治疗。
S6-治疗结束，数据记录；如果获得许可，可以上传至数据平台，通过大数据计算，进一步提升软件智能和可靠性，定期发布改进版本，并传输回各个治疗中心，自主选择使用。
 本发明的实施方式
以治疗甲状腺肿瘤为例。
S1-图像采集设备采集病灶区域图像，即甲状腺的图像，传输至操作平台。
S2-图像显示于操作平台，由内置的人工智能图像识别软件对图像分析，描画出甲状腺及周围重要器官组织。包含了描画出肿瘤、正常甲状腺组织、皮肤、气管、颈动脉及颈内静脉、返神经及喉上神经的部位。由治疗医生确认。
S3-在确认的图像上，智能治疗计划软件设计治疗方案：治疗范围，不同治疗点的功率、强度、总能量，时间间隔，治疗的层面，重复次数等；保证治疗区域与危险器官保持安全的距离和角度。由治疗医生确认并核准。
S4-治疗方案传输至高强度聚焦超声治疗设备，设备自动按计划方案实施整个治疗过程,包括能量发射、停止、能量发射装置的移动等，待完成整体方案治疗后，反馈信息至操作平台，提醒医生查看并核准。
S5-如果医生认为自动治疗方案有瑕疵，可以选择人工操作模式补充治疗；如果医生认为自动治疗方案完全不适合该患者，可以选择部分或者全部人工操作制定计划、实施治疗。
S6-治疗结束，数据记录；如果获得许可，可以上传至数据平台，通过大数据计算，进一步提升软件智能和可靠性。
在本发明的描述中，需要说明的是，术语“第一”、“第二”、 “第三”仅用于描述目的，而不能理解为指示或暗示相对重要性。
最后应说明的是：以上所述实施例，仅为本发明的具体实施方式，用以说明本发明技术方案，而非对其限制，本发明的保护范围并不局限于此，尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本发明实施例技术方案的精神和范围，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应所述以权利要求的保护范围为准。
 工业实用性
本发明设计了一种基于图像引导的高强度聚焦超声治疗系统及其使用方法，帮助医生设计、决策医疗方案，降低劳动强度，缩短学习曲线。通过大数据及人工智能，持续学习并提升，不断优化治疗方案和疗效。

Claims (2)

  1. 一种基于图像引导的人工智能高强度聚焦超声治疗系统，其特征在于：包括图像采集设备、操作平台、人工智能图像识别软件、智能治疗计划软件以及聚焦超声治疗设备，所述图像识别软件以及治疗计划软件内置于操作平台，所述图像采集设备、操作平台以及聚焦超声治疗设备依次连接。
  2. 根据权利要求1所述的一种基于图像引导的高强度聚焦超声使用方法，其特征在于：包括如下步骤：
    S1-图像采集设备采集病灶区域图像，传输至操作平台；
    S2-操作平台显示病灶区域图像，通过人工智能图像识别软件对图像进行分析，描画出病灶及周围正常组织和重要器官，由治疗医生进行确认；
    S3-智能治疗计划软件通过图像识别软件描画出的图像进行设计治疗方案及参数,方案通过治疗医生确认并核准；
    S4-经过确认核准的治疗方案传输至聚焦超声治疗设备，聚焦超声治疗设备自动按计划方案实施治疗过程，待完成整体方案治疗后，反馈信息至操作平台，提醒医生查看并核准；
    S5-若治疗医生认为自动治疗方案有瑕疵，选择人工操作模式补充治疗；若医生认为自动治疗方案完全不适合该患者，选择部分或者全部人工操作制定计划、实施治疗；
    S6-治疗结束，数据记录；如果获得许可，可以上传至数据平台，通过大数据计算，进一步提升软件智能和可靠性，定期发布改进版本，并传输回各个治疗中心，自主选择使用。
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