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AUGMENTING TUMOR SENSITIVE MATCHING FLOW TO IMPROVE DETECTION AND SEGMENTATION OF OVARIAN CANCER METASTASES WITHIN A PDE FRAMEWORK

文献类型： 会议论文

第一作者： Jianfei Liu

作者： Jianfei Liu 1 ; Shijun Wang 1 ; Marius George Linguraru 2 ; Jianhua Yao 1 ; Ronald M. Summers 1 ;

作者机构： 1.Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Science, National Institutes of Health Clinical Center

2.Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center

关键词： Ovarian cancer metastases;Tumor sensitive matching flow;Tumor segmentation

会议名称： IEEE International Symposium on Biomedical Imaging

主办单位：

页码： 652-655

摘要： The detection and segmentation of ovarian cancer metastases have potentially great clinical impact on women's healthcare. We recently developed a tumor sensitive matching flow (TSMF) technique to locate metastases by juxtaposing the roles of matching and classification within a PDE framework. This paper further augments the TSMF approach by integrating 1) shape index to measure metastasis-caused deformation, 2) Gaussian mixture model to describe metastasis intensity distribution, 3) total variation (TV) flow to enhance metastasis regions, and 4) TSMF vector displacements to control the amount of level-set propagation. The method was validated on contrast-enhanced CT data from 30 patients, of which 15 have 37 metastases in total. The true positive rate was 87% compared to 76% in our earlier work. Moreover, the false positive rate per patients was dropped to 1.1 from 4.2 in our earlier work. The metastasis segmentation achieved a Dice coefficient of 80.0±7.2%. All these experimental results demonstrated that shape index, Gaussian mixture model, TV flow, and TSMF-constrained level set propagation substantially improve the accuracy of metastasis detection and segmentation.

分类号： tp391.41-53

  • 相关文献

[1]Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework. Jianfei Liu,Shijun Wang,Linguraru, M.G.,Jianhua Yao. 2013

[2]Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation. Jianfei Liu,Shijun Wang,Marius G. Linguraru,Ronald M. Summers. 2012

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