Morphology analysis of breast tumor angiogenesis for 3-D power Doppler ultrasound

Ruey Feng Chang, Sheng Fang Huang, Yu Hau Lee, Dar Ren Chen, Woo Kyung Moon

Research output: Contribution to journalArticlepeer-review

Abstract

Angiogenesis provides blood supply for tumor expansion and increases the opportunity for tumor metastasis For decades, the value of angiogenesis as a prognostic indicator for a wide range of cancers has now been demonstrated. In cancer, tumor vasculature is highly disorganized, tortuous, dilated, and excessive branching. This paper presents a computer-aided diagnostic (CAD) system that can quantify these features using 3-D power Doppler ultrasound (US) on breast tumors. Our scheme utilizes 3-D thinning algorithm for examining the morphology of blood vessels, and neural network for inspecting its relation with tumor malignacy. Investigations into 221 solid breast tumors including 110 benign and 111 malignant cases, the p values of the Student's t-test for all features are less than 0.05, indicating that the proposed features are statistically significant. The experimental results also show that the proposed method is feasible, and have a good agreement with the diagnosis of the pathologists.

Original languageEnglish
Pages (from-to)338-340
Number of pages3
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume1
Issue numberSUPPL. 7
Publication statusPublished - 2006 Jun

All Science Journal Classification (ASJC) codes

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Morphology analysis of breast tumor angiogenesis for 3-D power Doppler ultrasound'. Together they form a unique fingerprint.

Cite this