Synchronous segmentation and registration method based on narrow band of interest and its application to IGRT system

被引：0

作者：

Shi, Xue ^{[1
]}

Chen, Jin-Hu ^{[2
]}

Li, Hong-Sheng ^{[2
]}

Yin, Yong ^{[2
]}

Li, Deng-Wang ^{[1
]}

机构：

[1] College of Physics and Electronics, Shandong Normal University, Jinan

[2] Department of Radiation Oncology, Shandong Tumor Hospital and Institute, Jinan

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2015年 / 41卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Active contour model; Adaptive radiation therapy; Liver segmentation; Medical image; Narrow band; Optical flow; Synchronous segmentation and registration;

D O I：

10.16383/j.aas.2015.c140871

中图分类号：

学科分类号：

摘要：

Medical image segmentation and registration is a key technology in image guided radiation therapy (IGRT) system. In order to improve the real-time performance of cone beam CT (CBCT) based IGRT system for thoracic and abdominal tumors treatment, also for controlling projection dose in liver area efficiently, a synchronous segmentation and registration joint method based on narrow band of interest is proposed to achieve segmentation and registration for the radiotherapy treatment planning system. The key issue in our method is to construct an ASOR synchronization model by integrating narrow band model with active contour model to accomplish initial segmentation, then is combined with an optical flow based deformable registration method to optimize the process iteratively. At first, both nonlinear diffusion model and narrow band active contour are used to get the liver position information of the CT image to provide reasonable initial contour for the synchronization model. Secondly, the liver contour and corresponding narrow band are mapped from the planning CT to CBCT by affine transformation. Thirdly and finally, the ASOR synchronization model is used to fulfill segmentation and registration simultaneously in evolution process by optical flow for determining the active contour level set movements. The experiment results demonstrate that when the proposed method is applied to CBCT based IGRT system, it can automatically segment liver to implement the real time calculation for the following radiation therapy planning, and that the deformation field which is obtained during the segmentation process can transfer the radiation planning from planning CT to CBCT adaptively. Copyright © 2015 Acta Automatica Sinica. All rights reserved.

引用

页码：1589 / 1600

页数：11

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