Knowledge-Based System for Boundary Detection of Four-Dimensional Cardiac Magnetic Resonance Image Sequences

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

doi:10.1109/42.222668

Knowledge-Based System for Boundary Detection of Four-Dimensional Cardiac Magnetic Resonance Image Sequences

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

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

This paper develops a strategy for a knowledge-based system for detection of the interior and exterior boundaries of the left ventricle from time-varying cross-sectional images obtained by ECG-gated magnetic resonance imaging. This system makes use of both fuzzy set and Dempster and Shafer theory to manage the knowledge, and to control the flow of system information for more efficient use of limited computational resources and memory space.

Original language	English (US)
Pages (from-to)	65-72
Number of pages	8
Journal	IEEE Transactions on Medical Imaging
Volume	12
Issue number	1
DOIs	https://doi.org/10.1109/42.222668
State	Published - Mar 1993

ASJC Scopus subject areas

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

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title = "Knowledge-Based System for Boundary Detection of Four-Dimensional Cardiac Magnetic Resonance Image Sequences",

abstract = "This paper develops a strategy for a knowledge-based system for detection of the interior and exterior boundaries of the left ventricle from time-varying cross-sectional images obtained by ECG-gated magnetic resonance imaging. This system makes use of both fuzzy set and Dempster and Shafer theory to manage the knowledge, and to control the flow of system information for more efficient use of limited computational resources and memory space.",

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

note = "Funding Information: Manuscript received September 29, 1991; revised June 5, 1992. This work was supported by the Georgia Tech-Emory Program in Biomedical Engineering and the Joint Services Electronics Program under Contract DAAL-03-90-C-0004, and by NIH Grant R01 HL42021-03.",

year = "1993",

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AU - Mersereau, Russell M.

AU - Pettigrew, Roderic I.

N1 - Funding Information: Manuscript received September 29, 1991; revised June 5, 1992. This work was supported by the Georgia Tech-Emory Program in Biomedical Engineering and the Joint Services Electronics Program under Contract DAAL-03-90-C-0004, and by NIH Grant R01 HL42021-03.

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N2 - This paper develops a strategy for a knowledge-based system for detection of the interior and exterior boundaries of the left ventricle from time-varying cross-sectional images obtained by ECG-gated magnetic resonance imaging. This system makes use of both fuzzy set and Dempster and Shafer theory to manage the knowledge, and to control the flow of system information for more efficient use of limited computational resources and memory space.

AB - This paper develops a strategy for a knowledge-based system for detection of the interior and exterior boundaries of the left ventricle from time-varying cross-sectional images obtained by ECG-gated magnetic resonance imaging. This system makes use of both fuzzy set and Dempster and Shafer theory to manage the knowledge, and to control the flow of system information for more efficient use of limited computational resources and memory space.

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Knowledge-Based System for Boundary Detection of Four-Dimensional Cardiac Magnetic Resonance Image Sequences

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