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 - Dec 1 1990
Event	Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90 - Atlanta, GA, USA Duration: May 22 1990 → May 25 1990

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

Engineering(all)

Cite this

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.

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. 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.

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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.",

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AU - Eisner, Robert L.

AU - Pettigrew, Roderic I.

PY - 1990/12/1

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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.

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

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ER -

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

Abstract

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ASJC Scopus subject areas

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