南方医科大学学报2017，Vol.37Issue(3)：347-353,7.DOI:10.3969/j.issn.1673-4254.2017.03.12
椭球先验约束的前列腺磁共振图像分割
Segmentation of the prostate on magnetic resonance images using an ellipsoidal shape prior constraint algorithm
摘要
Abstract
We propose a novel strategy for multi-atlas-based image segmentation of the prostate on magnetic resonance (MR) images using an ellipsoidal shape prior constraint algorithm.An ellipsoidal shape prior constraint was incorporated into the process of multi-atlas based segmentation to restrict the regions of interest on the prostate images and avoid the interference by the surrounding tissues and organs in atlas selection.In the subsequent process of atlas fusion,the ellipsoidal shape prior constraint calibrated and compensated for the shape prior obtained by the registration technique to avoid incorrect segmentation caused by registration errors.Evaluation of this proposed method on prostate images from 50 subjects showed that this algorithm was effective and yielded a mean Dice similarity coefficients of 0.8812,suggesting its high accuracy and robustness to segment the prostate on MR images.关键词
磁共振前列腺分割/图像配准/图谱选择/图谱融合/椭球先验Key words
prostate segmentation/magnetic resonance imaging/image registration/atlas selection/atlas fusion/ellipsoidal shape prior引用本文复制引用
李雪丽,庞树茂,阳维,冯前进..椭球先验约束的前列腺磁共振图像分割[J].南方医科大学学报,2017,37(3):347-353,7.基金项目
国家自然科学基金(61471188) （61471188）
广东省科技计划项目(2015B010106008,2015B01013 1011,2014B030301042) （2015B010106008,2015B01013 1011,2014B030301042）
广东省自然科学基金(2014A030313316,2016A030313574)Supported by National Natural Science Foundation of China (61471188). （2014A030313316,2016A030313574）
