@inproceedings{4f00f61a209543e4b564917c05c8683e,
title = "Segmentation of suspicious lesions in dynamic, contrast-enhanced breast MR images",
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 semi-automatic 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.",
keywords = "Breast MR, Dynamic contrast enhanced breast MR, Lesion segmentation",
author = "Thomas B{\"u}low and Meinel, {Lina Arbash} and Rafael Wiemker and Ursula Kose and Akiko Shimauchi and Gillian Newstead",
year = "2007",
month = oct,
day = "18",
doi = "10.1117/12.706537",
language = "English",
isbn = "0819466328",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
number = "PART 1",
booktitle = "Medical Imaging 2007",
edition = "PART 1",
note = "Medical Imaging 2007: Computer-Aided Diagnosis ; Conference date: 20-02-2007 Through 22-02-2007",
}