Share Email Print
cover

Proceedings Paper

Breast tumor angiogenesis analysis using 3D power Doppler ultrasound
Author(s): Ruey-Feng Chang; Sheng-Fang Huang; Yu-Hau Lee; Dar-Ren Chen; Woo Kyung Moon
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Angiogenesis is the process that correlates to tumor growth, invasion, and metastasis. Breast cancer angiogenesis has been the most extensively studied and now serves as a paradigm for understanding the biology of angiogenesis and its effects on tumor outcome and patient prognosis. Most studies on characterization of angiogenesis focus on pixel/voxel counts more than morphological analysis. Nevertheless, in cancer, the blood flow is greatly affected by the morphological changes, such as the number of vessels, branching pattern, length, and diameter. This paper presents a computer-aided diagnostic (CAD) system that can quantify vascular morphology using 3-D power Doppler ultrasound (US) on breast tumors. We propose a scheme to extract the morphological information from angiography and to relate them to tumor diagnosis outcome. At first, a 3-D thinning algorithm helps narrow down the vessels into their skeletons. The measurements of vascular morphology significantly rely on the traversing of the vascular trees produced from skeletons. Our study of 3-D assessment of vascular morphological features regards vessel count, length, bifurcation, and diameter of vessels. Investigations into 221 solid breast tumors including 110 benign and 111 malignant cases, the p values using the Student's t-test for all features are less than 0.05 indicating that the proposed features are deemed statistically significant. Our scheme focuses on the vascular architecture without involving the technique of tumor segmentation. The results show that the proposed method is feasible, and have a good agreement with the diagnosis of the pathologists.

Paper Details

Date Published: 16 March 2006
PDF: 8 pages
Proc. SPIE 6147, Medical Imaging 2006: Ultrasonic Imaging and Signal Processing, 614705 (16 March 2006); doi: 10.1117/12.650287
Show Author Affiliations
Ruey-Feng Chang, National Chung Cheng Univ. (Taiwan)
Sheng-Fang Huang, National Chung Cheng Univ. (Taiwan)
Yu-Hau Lee, National Chung Cheng Univ. (Taiwan)
Dar-Ren Chen, Changhua Christian Hospital (Taiwan)
Woo Kyung Moon, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6147:
Medical Imaging 2006: Ultrasonic Imaging and Signal Processing
Stanislav Emelianov; William F. Walker, Editor(s)

© SPIE. Terms of Use
Back to Top