3D localization of clustered microcalcifications using cranio-caudal and medio-lateral oblique views

Sheng Chih Yang, Hsian He Hsu, Giu Cheng Hsu, Pau Choo Chung, Shu Mei Guo, Chien Shen Lo, Ching Wen Yang, San Kan Lee, Chein I. Chang

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)521-532
Number of pages12
JournalComputerized Medical Imaging and Graphics
Issue number7
Publication statusPublished - 2005 Oct

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design


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