Automatic Surgical Workflow Estimation Method for Brain Tumor Resection Using Surgical Navigation Information
Automatic Surgical Workflow Estimation Method for Brain Tumor Resection Using Surgical Navigation Information
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DOI：
10.20965/jrm.2012.p0791
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发表时间：
2012-10-01
影响因子：
1.1
通讯作者：
Iseki, Hiroshi
中科院分区：
文献类型：
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作者：
Nakamura, Ryoichi;Aizawa, Tomoaki;Iseki, Hiroshi
近年来，由于医疗系统的更新，手术变得复杂，这已被公认为是一个问题。为了响应日益增长的需求，使手术更优化和有效，手术过程分析的研究引起了人们的关注。自动估计技术是准确、高效的过程分析所必需的。针对这一问题，我们对手术过程的自动估计技术进行了研究。在这项研究中，我们开发了一种自动估计方法，为选定的手术过程中获得的信息的基础上，从手术导航系统，作为一个例子，图像引导的脑肿瘤手术。我们发现五个参数（眼球摘除进度、手术工具尖端深度、手术工具位移、手术工具位置日志数据量以及手术期间检测到的事件数量）之间存在显着相关性，这些参数是根据患者的解剖信息和导航系统中存储的外科医生的手术信息以及脑肿瘤切除过程中的三个阶段定义的：（1）表面皮质切开，（2）测试和血管切除，（3）肿瘤切除和移除。通过使用自动贝叶斯估计的肿瘤切除过程中的八个案例中使用的五个参数，我们估计73%的所有过程正确。这一结果表明，手术过程自动估计与信息的手术导航系统单独，从而有助于准确和有效的手术分析。
It has been acknowledged as a problem in recent years that surgery has become complex due to medical system updating. To respond to the increasing demand for making surgery more optimal and efficient, studies on surgical process analysis have attracted attention. Automatic estimation technology is necessary for accurate and efficient process analysis. With a focus on this problem, we have studied technologies on the automatic estimation of surgical processes. In this study, we develop an automatic estimation method for a chosen surgical process on the basis of information obtained from a surgical navigation system, taking as an example image-guided brain tumor surgery. We found a significant correlation among five parameters - progress in enucleation, depth of surgical tool tip, displacement of surgical tool, volume of surgical tool position log data, and number of events detected during surgery - that are defined according to the anatomical information on patients and surgical procedure information on surgeons stored in the navigation system, and three stages in the brain tumor removal process: (1) incision of the surface cortex, (2) testing and blood vessel resection, (3) resection and removal of tumors. By using automatic Bayesian estimation of tumor removal processes in eight case examples using the five parameters, we estimated 73% of all processes correctly. This result indicates that surgical processes are automatically estimated with information in the surgical navigation system alone, which thus contributes to the accurate and efficient surgery analysis.