Automated identification of the heart wall in echocardiographic images throughout a cardiac cycle

Hiroki Takahashi, Hideyuki Hasegawa, Hiroshi Kanai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In most of the methods for evaluation of cardiac function based on echocardiography, the heart wall, which is the object to be analyzed, is currently identified manually by an operator. However, this task is very time-consuming and suffers from inter- and intraobserver variability. In the present study, a method was proposed for automated identification of the heart wall region in ultrasonic data throughout an entire cardiac cycle. The heart wall region at the optimal frame of interest in the cardiac phase was identified by applying the expectation-maximization (EM) algorithm to extracted features, and heart wall regions in the following frames were identified by tracking each point, which was classified in the optimal (initial) frame as the heart wall region, using the phased tracking method. The results showed that the proposed method was feasible in automated identification of the heart wall in the longitudinal axis view.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1171-1176
Number of pages6
ISBN (Print)9781467322591
Publication statusPublished - 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference

Conference

Conference2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
Country/TerritoryJapan
CityAkita
Period12/8/2012/8/23

Keywords

  • automated identification
  • echocardiography
  • EM algorithm
  • heart wall
  • optimal cardiac phase

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