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Computer-Aided Diagnosis for 3-D Power Doppler Breast Ultrasound

OPEN Ultrasound in medicine & biology | 7 Feb 2013

YC Lai, YS Huang, DW Wang, CM Tiu, YH Chou and RF Chang
Abstract
In recent studies, both tumor morphology and vascularity played an important role in differentiating breast tumors. In this article, a computer-aided diagnosis (CAD) system was proposed to quantify the tumor morphology of vascularity on three-dimensional (3-D) power Doppler breast ultrasound (PDUS) images. We segmented the tumor margin by the level set method and skeletonized vessels by the 3-D thinning algorithm from 3-D PDUS data to capture the B-mode and vascularity features. The B-mode features including texture, shape and ellipsoid fitting and the vascularity features containing volume, complexity, length, radius and tortuosity were used to differentiate breast tumors. In the experiment, 82 biopsy-verified lesions including 41 benign and 41 malignant lesions were used to test the performance of the proposed system. The proposed method performed well, achieving accuracy, sensitivity, specificity and Az values of 85.37% (70/82), 85.37% (35/41), 85.37% (35/41) and 0.9104, respectively.
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Concepts
Brain tumor, Neoplasm, Tumor, Breast cancer, Level set method, Benign tumor, Oncology, Cancer
MeSH headings
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