Physiological Features Based Coordinate System for Multi-view Analysis in Mammograms

被引:1
|
作者
Cao Lin [1 ]
Chen Houjin [1 ]
Li Jupeng [1 ]
Cheng Lin [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Peking Univ, Peoples Hosp, Breast Ctr, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
Mammogram; Multi-view analysis; Coordinate system; Physiological features; Region matching;
D O I
10.11999/JEIT160193
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A breast coordinate system based on physiological features is developed for multi-view analysis in mammograms. It is constructed according to the locations of nipple, pectoral muscle and the fitted breast boundary. The breast regions in mammograms are mapped into a parameter frame because of the coordinate system. Experiments are implemented on data set of Breast Cancer of Peking University People's Hospital. The performance of locating the physiological features and matching the regions of interest is evaluated. Results show that the proposed coordinate system could achieve favorable performance and facilitate the multi-view analysis in mammograms.
引用
收藏
页码:176 / 182
页数:7
相关论文
共 16 条
  • [11] Brandt S.S., Karemore G., Karssemeijer N., An anatomically oriented breast coordinate system for mammogram analysis, IEEE Transactions on Medical Imaging, 30, 10, pp. 1841-1851, (2011)
  • [12] Georgsson F., Anatomical coordinate system for bilateral registration of mammograms, 13th Scandinavian Conference on Image Analysis, pp. 335-342, (2003)
  • [13] Kita Y., Highnam R., Brady M., Correspondence between different view breast X rays using curved epipolar lines, Computer Vision and Image Understanding, 83, 1, pp. 38-56, (2001)
  • [14] Pu J., Zheng B., Leader J.K., Et al., An ellipse- fitting based method for efficient registration of breast masses on two mammographic views, Medical Physics, 35, 2, pp. 487-494, (2008)
  • [15] Martin K.E., Helvie M.A., Zhou C., Et al., Mammographic density measured with quantitative computer-aided method comparison with radiologists estimates and BI-RADS categories, Radiology, 240, 3, pp. 656-665, (2006)
  • [16] Wirth M.A., Choi C., Jennings A., A nonrigid-body approach to matching mammograms, Seventh International Conference on Image Processing and Its Applications, pp. 484-488, (1999)