A Particle Filtering Method for Muscle Tissue Segmentation from MRI Images

被引：1

作者：

Lv, Xiaolei ^{[1
,2
]}

Huang, Hongshi ^{[3
]}

Ao, Yingfang ^{[3
]}

Xia, Shihong ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

[3] Peking Univ, Hosp 3, Inst Sports Med, Beijing, Peoples R China

来源：

6TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING | 2015年 / 45卷

基金：

北京市自然科学基金;

关键词：

Muscle segmentation; Muscle volume; MRI; Level set method; Particle filtering;

D O I：

10.1007/978-3-319-11128-5_30

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We have developed a particle filtering method for muscle tissue reconstruction using the level set representation of contours, which makes it possible to handle topological change of the muscle contour. The inputs of the framework are the selected images which are manually outlined for specified muscle tissue. The contours are calculated using an energy term to predict the likelihood of muscle contour. The priors used in the energy term are acquired using an interpolation method between every two selected images. The results shows that the method can segment muscle tissues with a volume error of 4% and dice coefficient of 0.95 compared with manually outlined results.

引用

页码：118 / +

页数：2

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