Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle

Doug Y. Suh; Russell M. Mersereau; Robert L. Eisner; Roderic I. Pettigrew

Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle

Doug Y. Suh, Russell M. Mersereau, Robert L. Eisner, Roderic I. Pettigrew

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.

Original language	English (US)
Title of host publication	Proceedings of the First Conference on Visualization in Biomedical Computing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	149-156
Number of pages	8
ISBN (Print)	0818620390
State	Published - 1990
Event	Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 - Atlanta, GA, USA Duration: May 22 1990 → May 25 1990

Publication series

Name	Proceedings of the First Conference on Visualization in Biomedical Computing

Other

Other	Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90
City	Atlanta, GA, USA
Period	5/22/90 → 5/25/90

ASJC Scopus subject areas

General Engineering

Cite this

Suh, D. Y., Mersereau, R. M., Eisner, R. L., & Pettigrew, R. I. (1990). Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle. In Proceedings of the First Conference on Visualization in Biomedical Computing (pp. 149-156). (Proceedings of the First Conference on Visualization in Biomedical Computing). Institute of Electrical and Electronics Engineers Inc..

Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle. / Suh, Doug Y.; Mersereau, Russell M.; Eisner, Robert L. et al.
Proceedings of the First Conference on Visualization in Biomedical Computing. Institute of Electrical and Electronics Engineers Inc., 1990. p. 149-156 (Proceedings of the First Conference on Visualization in Biomedical Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Suh, DY, Mersereau, RM, Eisner, RL & Pettigrew, RI 1990, Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle. in Proceedings of the First Conference on Visualization in Biomedical Computing. Proceedings of the First Conference on Visualization in Biomedical Computing, Institute of Electrical and Electronics Engineers Inc., pp. 149-156, Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90, Atlanta, GA, USA, 5/22/90.

Suh DY, Mersereau RM, Eisner RL, Pettigrew RI. Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle. In Proceedings of the First Conference on Visualization in Biomedical Computing. Institute of Electrical and Electronics Engineers Inc. 1990. p. 149-156. (Proceedings of the First Conference on Visualization in Biomedical Computing).

Suh, Doug Y. ; Mersereau, Russell M. ; Eisner, Robert L. et al. / Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle. Proceedings of the First Conference on Visualization in Biomedical Computing. Institute of Electrical and Electronics Engineers Inc., 1990. pp. 149-156 (Proceedings of the First Conference on Visualization in Biomedical Computing).

@inproceedings{ca9394c3b4b64a99957536cd4a8ce40c,

title = "Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle",

abstract = "The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.",

author = "Suh, {Doug Y.} and Mersereau, {Russell M.} and Eisner, {Robert L.} and Pettigrew, {Roderic I.}",

year = "1990",

language = "English (US)",

isbn = "0818620390",

series = "Proceedings of the First Conference on Visualization in Biomedical Computing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "149--156",

booktitle = "Proceedings of the First Conference on Visualization in Biomedical Computing",

address = "United States",

note = "Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 ; Conference date: 22-05-1990 Through 25-05-1990",

}

TY - GEN

T1 - Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle

AU - Suh, Doug Y.

AU - Mersereau, Russell M.

AU - Eisner, Robert L.

AU - Pettigrew, Roderic I.

PY - 1990

Y1 - 1990

N2 - The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.

AB - The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.

UR - http://www.scopus.com/inward/record.url?scp=0025535927&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025535927&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0025535927

SN - 0818620390

T3 - Proceedings of the First Conference on Visualization in Biomedical Computing

SP - 149

EP - 156

BT - Proceedings of the First Conference on Visualization in Biomedical Computing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90

Y2 - 22 May 1990 through 25 May 1990

ER -

Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle

Abstract

Publication series

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this