3D localization of clustered microcalcifications using cranio-caudal and medio-lateral oblique views.
This paper presents a 3D localization method to register clustered microcalcifications on mammograms from cranio-caudal (CC) and medio-lateral oblique (MLO) views. The method consists of three major components: registration of clustered microcalcifications in CC and MLO views, 3D localization of clustered microcalcifications and 3D visualization of clustered microcalcifications. The registration is performed based on three features, gradient, energy and local entropy codes that are independent of spatial locations of microcalcifications in two different views and are prioritized by discriminability in a binary decision tree. The 3D localization is determined by a sequence of coordinate corrections of calcified pixels using the breast nipple as a controlling point. Finally, the 3D visualization implements a virtual reality modeling language viewer (VRMLV) to view the exact location of the lesion as a guide for needle biopsy. In order to validate our proposed 3D localization system, a set of breast lesions, which appear both in mammograms and in MR Images is used for experiments where the depth of clustered microcalcifications can be verified by the MR images.
Yang
Sheng-Chih
SC
Department of Electrical Engineering, National Cheng Kung University Tainan, Taiwan 701, ROC.
Hsu
Hsian-He
HH
Hsu
Giu-Cheng
GC
Chung
Pau-Choo
PC
Guo
Shu-Mei
SM
Lo
Chien-Shen
CS
Yang
Ching-Wen
CW
Lee
San-Kan
SK
Chang
Chein-I
CI
D002113:Calcification, Physiologic; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D021621:Imaging, Three-Dimensional / Q000379:methods* / Q000706:statistics & numerical data; D008327:Mammography; D013624:Taiwan