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1.发明申请Method And System For Recognizing And Assessing Surgical Procedures From Video 有权从视频识别和评估手术程序的方法和系统公开(公告)号：US20140286533A1
公开(公告)日：2014-09-25
申请号：US14223679
申请日：2014-03-24
发明人： Jiebo Luo , Junhuan Zhu , Yousuf Mohamed Khalifa
CPC分类号： G09B5/00 , G06K9/00597 , G06K9/6297 , G06K2209/057
摘要： A Method and System For Recognizing and Assessing Surgical Procedures from a video or series of still images is described. Evaluation of surgical techniques of residents learning skills in areas such as cataract surgery is an important aspect of the learning process. The use of videos has become common in such evaluations, but is a time consuming manual process. The present invention increases the efficiency and speed of the surgical technique evaluation process by identifying and saving only information that is relevant to the evaluation, process. Using image processing techniques of the present invention, an anatomic structure of a surgical procedure is located on a video, timing of predefined surgical stages is determined, and measurements are taken from frames of the predefined surgical stages to allow the performance of a surgeon to be assessed in an automated and efficient manner.
摘要翻译： 描述了从视频或一系列静止图像中识别和评估外科手术的方法和系统。 评估白内障手术领域居民学习技巧的手术技术是学习过程的一个重要方面。 视频的使用在这样的评估中变得很常见，但是这是一个耗时的手动过程。 本发明通过仅识别和保存与评估过程相关的信息来提高手术技术评估过程的效率和速度。 使用本发明的图像处理技术，将外科手术的解剖结构定位在视频上，确定预定手术阶段的时间，并且从预定义的手术阶段的帧中进行测量，以允许外科医生的表现为 以自动化和高效的方式进行评估。
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2.发明申请Computer Vision Based Method And System For Evaluating And Grading Surgical Procedures 有权基于计算机视觉的方法和系统评估和分级手术程序公开(公告)号：US20150320510A1
公开(公告)日：2015-11-12
申请号：US14710254
申请日：2015-05-12
发明人： Jiebo Luo , Junhuan Zhu , Yousuf Mohamed Khalifa
CPC分类号： G06T7/20 , A61B34/10 , A61F9/007 , G06K9/00711 , G06T1/0007 , G06T3/4084 , G06T7/00 , G06T7/0014 , G06T7/11 , G06T7/12 , G06T2207/10004 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/20036 , G06T2207/20061 , G06T2207/20081 , G06T2207/30041 , G06T2207/30196 , G06T2210/41 , G09B23/28
摘要： To increase the timeliness, objectivity, and efficiency in evaluating surgical procedures such as those performed by ophthalmology residents' learning of cataract surgery, an automatic analysis system for surgeries such as cataract surgery is provided to assess performance, particularly in the capsulorrhexis step on the Kitaro simulator. Computer vision technologies are employed to measure performance of this critical step including duration, centrality, circularity, size, as well as motion stability during the capsulorrhexis procedure. Consequently, a grading mechanism is established based on either linear regression or non-linear classification via Support Vector Machine (SVM) of those computed measures. Comparisons of expert graders to the computer vision based approach have demonstrated the accuracy and consistency of the computerized technique.
摘要翻译： 为了提高评估外科手术的及时性，客观性和效率，例如眼科患者白内障手术的学习情况，提供白内障手术等手术自动分析系统，以评估性能，特别是在Kitaro的痔疮步骤中 模拟器 使用计算机视觉技术来测量这一关键步骤的性能，包括持续时间，中心性，圆形度，大小以及痔疮手术期间的运动稳定性。 因此，基于这些计算措施的支持向量机（SVM），基于线性回归或非线性分类建立分级机制。 专家级别与基于计算机视觉的方法的比较表明了计算机化技术的准确性和一致性。
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3.发明授权Computer vision based method and system for evaluating and grading surgical procedures 有权基于计算机视觉的评估和分级外科手术的方法和系统公开(公告)号：US09424656B2
公开(公告)日：2016-08-23
申请号：US14710254
申请日：2015-05-12
发明人： Jiebo Luo , Junhuan Zhu , Yousuf Mohamed Khalifa
CPC分类号： G06T7/20 , A61B34/10 , A61F9/007 , G06K9/00711 , G06T1/0007 , G06T3/4084 , G06T7/00 , G06T7/0014 , G06T7/11 , G06T7/12 , G06T2207/10004 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/20036 , G06T2207/20061 , G06T2207/20081 , G06T2207/30041 , G06T2207/30196 , G06T2210/41 , G09B23/28
摘要： To increase the timeliness, objectivity, and efficiency in evaluating surgical procedures such as those performed by ophthalmology residents' learning of cataract surgery, an automatic analysis system for surgeries such as cataract surgery is provided to assess performance, particularly in the capsulorrhexis step on the Kitaro simulator. Computer vision technologies are employed to measure performance of this critical step including duration, centrality, circularity, size, as well as motion stability during the capsulorrhexis procedure. Consequently, a grading mechanism is established based on either linear regression or non-linear classification via Support Vector Machine (SVM) of those computed measures. Comparisons of expert graders to the computer vision based approach have demonstrated the accuracy and consistency of the computerized technique.
摘要翻译： 为了提高评估外科手术的及时性，客观性和效率，例如眼科患者白内障手术的学习情况，提供白内障手术等手术自动分析系统，以评估性能，特别是在Kitaro的痔疮步骤中 模拟器 使用计算机视觉技术来测量这一关键步骤的性能，包括持续时间，中心性，圆形度，大小以及痔疮手术期间的运动稳定性。 因此，基于这些计算措施的支持向量机（SVM），基于线性回归或非线性分类建立分级机制。 专家级别与基于计算机视觉的方法的比较表明了计算机化技术的准确性和一致性。
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4.发明授权Method and system for recognizing and assessing surgical procedures from video 有权从视频识别和评估外科手术的方法和系统公开(公告)号：US09171477B2
公开(公告)日：2015-10-27
申请号：US14223679
申请日：2014-03-24
发明人： Jiebo Luo , Junhuan Zhu , Yousuf Mohamed Khalifa
CPC分类号： G09B5/00 , G06K9/00597 , G06K9/6297 , G06K2209/057
摘要： A Method and System For Recognizing and Assessing Surgical Procedures from a video or series of still images is described. Evaluation of surgical techniques of residents learning skills in areas such as cataract surgery is an important aspect of the learning process. The use of videos has become common in such evaluations, but is a time consuming manual process. The present invention increases the efficiency and speed of the surgical technique evaluation process by identifying and saving only information that is relevant to the evaluation process. Using image processing techniques of the present invention, an anatomic structure of a surgical procedure is located on a video, timing of predefined surgical stages is determined, and measurements are taken from frames of the predefined surgical stages to allow the performance of a surgeon to be assessed in an automated and efficient manner.
摘要翻译： 描述了从视频或一系列静止图像中识别和评估外科手术的方法和系统。 评估白内障手术领域居民学习技巧的手术技术是学习过程的一个重要方面。 视频的使用在这样的评估中变得很常见，但是这是一个耗时的手动过程。 本发明通过仅识别和保存与评估过程相关的信息来提高手术技术评估过程的效率和速度。 使用本发明的图像处理技术，将外科手术的解剖结构定位在视频上，确定预定手术阶段的时间，并且从预定义的手术阶段的帧中进行测量，以允许外科医生的表现为 以自动化和高效的方式进行评估。
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