title: Reconstruction and rendering of microcalcifications from two mammogram views by modified projective grid space (MPGS).
abstract: Mammograms taken by two views: cranio-caudal (CC) and medio-lateral oblique (MLO) views provide only 2D projections of the microcalcifications, which lack the depth information. Thus, envisioning the relative lesion location from mammograms is a challenge for radiologists. To assist radiologists in locating and rendering lesion tissues, a modified projective grid space (MPGS) scheme is proposed to reconstruct 3D microcalcifications. The MPGS scheme reconstructs 3D microcalcifications in a unique space defined by corresponding points and the epipoles retrieved from the fundamental matrix of the CC and MLO views. Since only corresponding points of images are required in the proposed MPGS scheme, we can avoid the difficulty associated with most reconstruction approaches that require prior complicated calibration of X-ray machine. Considering the deformation of the breast, a new method based on the concept of bundle adjustment is proposed to rectify the 3D locations of reconstructed microcalcifications by uncompressed breast model reconstructed from the real patient body using MPGS scheme with iterative closest point (ICP). Then, the reconstructed microcalcifications are augmented in the real patient body model to show their relative positions.
authors.affiliation: Department of Electrical Engineering, Institute of Computer and Communication, National Cheng Kung University, University Road No. 1, Tainan, Taiwan, ROC.
authors.forename: Chun-Rong
authors.initials: CR
authors.lastname: Huang
authors.forename: Pau-Choo
authors.initials: PC
authors.lastname: Chung
authors.forename: Tong-Yee
authors.initials: TY
authors.lastname: Lee
authors.forename: Sheng-Chih
authors.initials: SC
authors.lastname: Yang
authors.forename: San-Kan
authors.initials: SK
authors.lastname: Lee
mesh_terms: D002113:Calcification, Physiologic; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016217:Ultrasonography, Mammary