Segmentation of calcification regions in intravascular ultrasound images by adaptive thresholding

Esmeraldo Dos Santos Filho, Yoshifumi Saijo, Tomoyuki Yambe, Akira Tanaka, Makoto Yoshizawa

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

5 Citations (Scopus)

Abstract

An innovative application of adaptive thresholding is used for calcification regions detection in intravascular ultrasound images. A priori knowledge about the acoustic shadow that usually fol lows the calcification regions is used as discriminant of other bright regions of the image. Tests were carried out with 20 in vivo coronary artery images obtained from different patients. This proposed algorithm presented specificity of 88% and sensitivity of 84%. A ROC curve, whose AUC was equal to 0.87, was plotted for evaluation of the algorithm performance.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Pages446-450
Number of pages5
DOIs
Publication statusPublished - 2006 Dec 22
Event19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 - Salt Lake City, UT, United States
Duration: 2006 Jun 222006 Jun 23

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2006
ISSN (Print)1063-7125

Other

Other19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
CountryUnited States
CitySalt Lake City, UT
Period06/6/2206/6/23

Keywords

  • Adaptive thresholding
  • Image segmentation
  • Intravascular ultrasound

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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