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Ultrasound Image-Guided Mapping of Endoscopic Views on a 3D Placenta Model: A Tracker-Less Approach

教师个人信息

姓名
杨量景 浙江大学教师主页
学院
ZJUI
研究方向
机器人学, 计算机视觉, 显微镜下图像引导机械自动化
成果类型
图书章节
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions

出版物信息

章节名称
Ultrasound Image-Guided Mapping of Endoscopic Views on a 3D Placenta Model: A Tracker-Less Approach
章节作者
Liangjing Yang, Junchen Wang, Etsuko Kobayashi, Hongen Liao, Ichiro Sakuma, Hiromasa Yamashita et al.
章节序号
12
章节页码
107-116
著作名称
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
图书作者
Hongen Liao, Cristian A. Linte, Ken Masamune, Terry M. Peters, Guoyan Zheng
出版社
Springer
P-ISBN
9783642408427
E-ISBN
978-3-642-40843-4
摘要

This work presents a framework for mapping of free-hand endoscopic views onto 3D anatomical model constructed from ultrasound images without the use of external trackers. It is non-disruptive in terms of existing surgical workflow as surgeons do not need to accommodate operational constraints associated with the use of additionally installed motion sensors or tracking systems. A passive fiducial marker is attached to the tip of the endoscope to create a geometric eccentricity that encodes the position and orientation of the camera. The relative position between the endoscope and the anatomical model under the ultrasound image reference frame is used to establish a texture map that overlays endoscopic views onto the surface of the model. This addresses operational challenges including the limited field-of-view (FOV) and the lack of 3D perspective associated with minimally invasive procedure. Experimental results show that average tool position and orientation errors are 1.32 mm and 1.6o respectively. The R.M.S. error of the overall image mapping obtained based on comparison of dimension of landmarks is 3.30 mm with standard deviation of 2.14 mm. The feasibility of the framework is also demonstrated through implementations on a phantom model.

DOI
https://doi.org/10.1007/978-3-642-40843-4_12

纸电馆藏信息

馆藏地
海宁国际分馆-特藏
索书号
R445-532/LM1/2013/SC2
条码号
000000329783
数据库
Springer
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