Segmental boundary profile of myocardial motion to localize cardiac abnormalities

Slamet Riyadi, Mohd. Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd Noh

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

1 Citation (Scopus)

Abstract

Current study of myocardial motion on echocardiography mainly focused on the improvement of the motion accuracy, whereas the quantification of myocardial motion is a key task for motion analysis and interpretation by cardiologist. Therefore, we proposed a features extraction method to provide information on the segmental boundary profile of myocardial motion. Once the optical flow of two consecutive frames is computed, then we take out only flow field on the inner boundary instead of the whole myocardium. The inner boundary is detected using Canny operator and centroidal based searching method; and then applying B-spline and statistical outliers remover to smoothen the boundary. The complete profile consists of displacement and radial direction of every segment at any frame from end-diastole to end-systole. The validation is performed by comparing the computed profile and the manual analysis by cardiologist. In conclusion, this profile is in agreement and has capability to be used to detect an abnormal segment more accurately.

Original languageEnglish
Title of host publicationWCE 2010 - World Congress on Engineering 2010
Pages692-697
Number of pages6
Volume1
Publication statusPublished - 2010
EventWorld Congress on Engineering 2010, WCE 2010 - London
Duration: 30 Jun 20102 Jul 2010

Other

OtherWorld Congress on Engineering 2010, WCE 2010
CityLondon
Period30/6/102/7/10

Fingerprint

Echocardiography
Optical flows
Splines
Feature extraction
Flow fields
Motion analysis

Keywords

  • 2-dimensional echocardiography
  • Localize abnormalities
  • Optical flow
  • Segmental myocardial motion

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Riyadi, S., Mustafa, M. M., Hussain, A., Maskon, O., & Noh, I. F. M. (2010). Segmental boundary profile of myocardial motion to localize cardiac abnormalities. In WCE 2010 - World Congress on Engineering 2010 (Vol. 1, pp. 692-697)

Segmental boundary profile of myocardial motion to localize cardiac abnormalities. / Riyadi, Slamet; Mustafa, Mohd. Marzuki; Hussain, Aini; Maskon, Oteh; Noh, Ika Faizura Mohd.

WCE 2010 - World Congress on Engineering 2010. Vol. 1 2010. p. 692-697.

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

Riyadi, S, Mustafa, MM, Hussain, A, Maskon, O & Noh, IFM 2010, Segmental boundary profile of myocardial motion to localize cardiac abnormalities. in WCE 2010 - World Congress on Engineering 2010. vol. 1, pp. 692-697, World Congress on Engineering 2010, WCE 2010, London, 30/6/10.
Riyadi S, Mustafa MM, Hussain A, Maskon O, Noh IFM. Segmental boundary profile of myocardial motion to localize cardiac abnormalities. In WCE 2010 - World Congress on Engineering 2010. Vol. 1. 2010. p. 692-697
Riyadi, Slamet ; Mustafa, Mohd. Marzuki ; Hussain, Aini ; Maskon, Oteh ; Noh, Ika Faizura Mohd. / Segmental boundary profile of myocardial motion to localize cardiac abnormalities. WCE 2010 - World Congress on Engineering 2010. Vol. 1 2010. pp. 692-697
@inproceedings{4a32fe00aab54647bba9a231f8777296,
title = "Segmental boundary profile of myocardial motion to localize cardiac abnormalities",
abstract = "Current study of myocardial motion on echocardiography mainly focused on the improvement of the motion accuracy, whereas the quantification of myocardial motion is a key task for motion analysis and interpretation by cardiologist. Therefore, we proposed a features extraction method to provide information on the segmental boundary profile of myocardial motion. Once the optical flow of two consecutive frames is computed, then we take out only flow field on the inner boundary instead of the whole myocardium. The inner boundary is detected using Canny operator and centroidal based searching method; and then applying B-spline and statistical outliers remover to smoothen the boundary. The complete profile consists of displacement and radial direction of every segment at any frame from end-diastole to end-systole. The validation is performed by comparing the computed profile and the manual analysis by cardiologist. In conclusion, this profile is in agreement and has capability to be used to detect an abnormal segment more accurately.",
keywords = "2-dimensional echocardiography, Localize abnormalities, Optical flow, Segmental myocardial motion",
author = "Slamet Riyadi and Mustafa, {Mohd. Marzuki} and Aini Hussain and Oteh Maskon and Noh, {Ika Faizura Mohd}",
year = "2010",
language = "English",
isbn = "9789881701299",
volume = "1",
pages = "692--697",
booktitle = "WCE 2010 - World Congress on Engineering 2010",

}

TY - GEN

T1 - Segmental boundary profile of myocardial motion to localize cardiac abnormalities

AU - Riyadi, Slamet

AU - Mustafa, Mohd. Marzuki

AU - Hussain, Aini

AU - Maskon, Oteh

AU - Noh, Ika Faizura Mohd

PY - 2010

Y1 - 2010

N2 - Current study of myocardial motion on echocardiography mainly focused on the improvement of the motion accuracy, whereas the quantification of myocardial motion is a key task for motion analysis and interpretation by cardiologist. Therefore, we proposed a features extraction method to provide information on the segmental boundary profile of myocardial motion. Once the optical flow of two consecutive frames is computed, then we take out only flow field on the inner boundary instead of the whole myocardium. The inner boundary is detected using Canny operator and centroidal based searching method; and then applying B-spline and statistical outliers remover to smoothen the boundary. The complete profile consists of displacement and radial direction of every segment at any frame from end-diastole to end-systole. The validation is performed by comparing the computed profile and the manual analysis by cardiologist. In conclusion, this profile is in agreement and has capability to be used to detect an abnormal segment more accurately.

AB - Current study of myocardial motion on echocardiography mainly focused on the improvement of the motion accuracy, whereas the quantification of myocardial motion is a key task for motion analysis and interpretation by cardiologist. Therefore, we proposed a features extraction method to provide information on the segmental boundary profile of myocardial motion. Once the optical flow of two consecutive frames is computed, then we take out only flow field on the inner boundary instead of the whole myocardium. The inner boundary is detected using Canny operator and centroidal based searching method; and then applying B-spline and statistical outliers remover to smoothen the boundary. The complete profile consists of displacement and radial direction of every segment at any frame from end-diastole to end-systole. The validation is performed by comparing the computed profile and the manual analysis by cardiologist. In conclusion, this profile is in agreement and has capability to be used to detect an abnormal segment more accurately.

KW - 2-dimensional echocardiography

KW - Localize abnormalities

KW - Optical flow

KW - Segmental myocardial motion

UR - http://www.scopus.com/inward/record.url?scp=79959830505&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79959830505&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79959830505

SN - 9789881701299

VL - 1

SP - 692

EP - 697

BT - WCE 2010 - World Congress on Engineering 2010

ER -