Automatic prostate cancer detection using blood flow information in power doppler ultrasonography

Chuan Yu Chang, Ching Fong You, Yuh-Shyan Tsai

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

Abstract

Compared with the benign prostate, the malignant prostate has higher peak systolic velocity, lower end diastolic velocity and resistance index. In these blood flow information, the end diastolic velocity is more consistent and significant. In this paper, an automatic prostate cancer detection using blood flow information in power Doppler ultrasonography is proposed. The prostate region was segmented semi-automatically by the active contour model. The average velocity, resistance index and end diastolic velocity obtained from left and right peripheral zone were combined to form a feature vector. Accordingly, a support vector machine is used to classify the prostate as malignant or benign. Experimental results demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
PublisherIEEE Computer Society
Pages505-508
Number of pages4
ISBN (Print)9780769551203
DOIs
Publication statusPublished - 2013 Jan 1
Event9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 - Beijing, China
Duration: 2013 Oct 162013 Oct 18

Publication series

NameProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013

Other

Other9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
CountryChina
CityBeijing
Period13-10-1613-10-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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