title: Computer assistance for MR based diagnosis of breast cancer: present and future challenges.
abstract: MR based methods have gained an important role for the clinical detection and diagnosis of breast cancer. Dynamic contrast-enhanced MRI of the breast has become a robust and successful method, especially for diagnosis of high-risk cases due to its higher sensitivity compared to X-ray mammography. The application of MR based imaging methods depends on various automated image processing routines. The combination of techniques for preprocessing, quantification and visualization of datasets is necessary to achieve fast and solid assessment of valuable parameters for diagnosis. In this paper, different aspects such as registration methods for the reduction of motion artifacts, segmentation issues, as well as morphologic and dynamic lesion analysis will be reviewed with a focus on breast MRI, MR spectroscopy and MR guided biopsies of the breast, their implications and technical challenges from a computer assistance point of view.
authors: MeVis Research, Center for Medical Image Computing, Universitaetsallee 29, 28359 Bremen, Germany. behrens@mevis.de
authors: Sarah
authors: S
authors: Behrens
authors: Hendrik
authors: H
authors: Laue
authors: Matthias
authors: M
authors: Althaus
authors: Tobias
authors: T
authors: Boehler
authors: Bernd
authors: B
authors: Kuemmerlen
authors: Horst K
authors: HK
authors: Hahn
authors: Heinz-Otto
authors: HO
authors: Peitgen
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D005858:Germany; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*