Machine learning-based colon deformation estimation method for colonoscope tracking
Machine learning-based colon deformation estimation method for colonoscope tracking
复制标题
基于机器学习的结肠镜跟踪结肠变形估计方法
DOI：
10.1117/12.2293936
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
K. Mori
中科院分区：
文献类型：
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作者：
M. Oda;T. Kitasaka;K. Furukawa;R. Miyahara;Y. Hirooka;H. Goto;Nassir Navab;K. Mori
本文提出了一种结肠变形估计方法，可用于估计结肠镜插入过程中的结肠变形。结肠镜跟踪或导航系统可以在结肠镜插入期间引导医生定位息肉位置，以减少结肠穿孔等并发症。以前的结肠镜跟踪方法通过登记结肠镜形状和结肠形状来获得结肠镜在结肠中的位置。结肠镜形状由电磁传感器获得，结肠形状由CT容积获得。然而，由于结肠镜插入时结肠变形，观察到较大的跟踪误差。这种变形使注册变得困难。由于结肠变形是由结肠镜引起的，因此结肠变形与结肠镜形状之间有很强的关系。在结肠镜插入过程中，需要一种结肠变形的估计方法来减少跟踪误差。提出了一种结肠变形估计方法。这种方法用于从结肠镜形状估计结肠形状的变形。我们使用回归森林算法来估计变形的冒号形状。回归森林算法使用结肠和结肠镜形状对进行训练，其中包含结肠镜插入期间发生的变形。作为一项初步研究，我们使用该方法来估计结肠幻影的变形。在我们的实验中，所提出的方法正确地估计了变形的结肠幻影形状。
This paper presents a colon deformation estimation method, which can be used to estimate colon deformations during colonoscope insertions. Colonoscope tracking or navigation system that navigates a physician to polyp positions during a colonoscope insertion is required to reduce complications such as colon perforation. A previous colonoscope tracking method obtains a colonoscope position in the colon by registering a colonoscope shape and a colon shape. The colonoscope shape is obtained using an electromagnetic sensor, and the colon shape is obtained from a CT volume. However, large tracking errors were observed due to colon deformations occurred during colonoscope insertions. Such deformations make the registration difficult. Because the colon deformation is caused by a colonoscope, there is a strong relationship between the colon deformation and the colonoscope shape. An estimation method of colon deformations occur during colonoscope insertions is necessary to reduce tracking errors. We propose a colon deformation estimation method. This method is used to estimate a deformed colon shape from a colonoscope shape. We use the regression forests algorithm to estimate a deformed colon shape. The regression forests algorithm is trained using pairs of colon and colonoscope shapes, which contains deformations occur during colonoscope insertions. As a preliminary study, we utilized the method to estimate deformations of a colon phantom. In our experiments, the proposed method correctly estimated deformed colon phantom shapes.