Segmentation of suspicious lesions in dynamic contrast-enhanced breast MR images

Thomas Bülow; Lina Arbash Meinel; Rafael Wiemker; Ursula Kose; Akiko Shimauchi; Gillian Newstead M.D.

doi:10.1117/12.706537

29 March 2007 Segmentation of suspicious lesions in dynamic contrast-enhanced breast MR images

Thomas Bülow, Lina Arbash Meinel, Rafael Wiemker, Ursula Kose, Akiko Shimauchi, Gillian Newstead M.D.

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65140T (2007) https://doi.org/10.1117/12.706537
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Dynamic contrast enhanced breast MRI (DCE BMRI) is an emerging tool for breast cancer diagnosis. There is a clear clinical demand for computer-aided diagnosis (CADx) tools to support radiologists in the diagnostic reading process of DCE BMRI studies. A crucial step in a CADx system is the segmentation of tumors, which allows for accurate assessment of the 3D lesion size and morphology. In this paper we propose a semiautomatic segmentation procedure for suspicious breast lesions. The proposed methodology consists of four steps: (1) Robust seed point selection. This interaction mode ensures robustness of the segmentation result against variations in seed-point placement. (2) Automatic intensity threshold estimation in the subtraction image. (3)Connected component analysis based on the estimated threshold. (4) A post-processing step that includes non-enhancing portions of the lesion into the segmented area and removes attached vessels. The proposed methodology was applied to DCE BMRI data acquired at different institutions using different protocols.

Citation Download Citation

Thomas Bülow, Lina Arbash Meinel, Rafael Wiemker, Ursula Kose, Akiko Shimauchi, and Gillian Newstead M.D. "Segmentation of suspicious lesions in dynamic contrast-enhanced breast MR images", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65140T (29 March 2007); https://doi.org/10.1117/12.706537

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