Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.

Medical Physics
Yunfeng CuiLawrence H Schwartz

Abstract

Breast tumor volume measured on MRI has been used to assess response to neoadjuvant chemotherapy. However, accurate and reproducible delineation of breast lesions can be challenging, since the lesions may have complicated topological structures and heterogeneous intensity distributions. In this article, the authors present an advanced computerized method to semiautomatically segment tumor volumes on T1-weighted, contrast-enhanced breast MRI. The method starts with manual selection of a region of interest (ROI) that contains the lesion to be segmented in a single image, followed by automated separation of the lesion volume from its surrounding breast parenchyma by using a unique combination of the image processing techniques including Gaussian mixture modeling and a marker-controlled watershed transform. Explicitly, the Gaussian mixture modeling is applied to an intensity histogram of the pixels inside the ROI to distinguish the tumor class from other tissues. Based on the ROI and the intensity distribution of the tumor, internal and external markers are determined and the tumor contour is delineated using the marker-controlled watershed transform. To obtain the tumor volume, the segmented tumor in one slice is propagated to the...Continue Reading

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Citations

Feb 18, 2011·Journal of Digital Imaging·Shengzhou XuEnmin Song
May 21, 2013·Annual Review of Biomedical Engineering·Maryellen L GigerJulia A Schnabel
May 23, 2013·Computer Methods and Programs in Biomedicine·Mong DangJ Ross Mitchell
Mar 4, 2018·Medical Physics·Yongqiang TanBinsheng Zhao
Jan 17, 2019·Contrast Media & Molecular Imaging·Ignacio Alvarez IllanAnke Meyer-Baese
Feb 2, 2019·Journal of Digital Imaging·Fatah Bouchebbah, Hachem Slimani

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