Application of automatic boundary detection for computerized quantitative analysis of left ventricular regional wall motion by two- dimensional echocardiography

Liang Miin Tsai, Tzu Pei Chen, Tain Song Chen, Jyh Hong Chen

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The four-chamber view echocardiographic images of seven normal subjects and five patients with acute myocardial infarction were investigated to set up a computer-aided image processing algorithm for boundary detection and to establish a computerized model for quantitative analysis of left ventricular wall motion with the application of automatic boundary detection. The displacements of the left ventricular endocardial contour from end-diastolic to end-systolic frame were measured using a sample point connection model. The wall motion curves in patients were compared with the normal wall motion pattern established from the normal subjects to identify the segments with normal or abnormal wall motion. Preliminary results suggest that computer-aided boundary detection can be applied to establish an objective and useful model for quantitative analysis of left ventricular regional wall motion.

Original languageEnglish
Pages (from-to)177-182
Number of pages6
JournalJournal of Ultrasound in Medicine
Volume16
Issue number3
DOIs
Publication statusPublished - 1997 Mar

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Application of automatic boundary detection for computerized quantitative analysis of left ventricular regional wall motion by two- dimensional echocardiography'. Together they form a unique fingerprint.

  • Cite this