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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationMedical Imaging 2007
Subtitle of host publicationComputer-Aided Diagnosis
EditionPART 1
Publication statusPublished - 2007 Oct 18
EventMedical Imaging 2007: Computer-Aided Diagnosis - San Diego, CA, United States
Duration: 2007 Feb 202007 Feb 22

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 1
ISSN (Print)1605-7422


OtherMedical Imaging 2007: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego, CA


  • Breast MR
  • Dynamic contrast enhanced breast MR
  • Lesion segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Segmentation of suspicious lesions in dynamic, contrast-enhanced breast MR images'. Together they form a unique fingerprint.

Cite this