Knowledge-based boundary detection applied to cardiac magnetic resonance image sequences

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

Knowledge-based boundary detection applied to cardiac magnetic resonance image sequences

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

Research output: Contribution to journal › Conference article › peer-review

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 on the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The goal is a system for automatically classifying and measuring cardiac function through estimates of LV wall thickness, wall motion, etc. This knowledge-based system makes use of the Dempster and Shafer (D/S) theory to manage the knowledge. The 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)
Pages (from-to)	1783-1786
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
State	Published - 1989
Event	1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland Duration: May 23 1989 → May 26 1989

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Knowledge-based boundary detection applied to cardiac magnetic resonance image sequences",

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 on the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The goal is a system for automatically classifying and measuring cardiac function through estimates of LV wall thickness, wall motion, etc. This knowledge-based system makes use of the Dempster and Shafer (D/S) theory to manage the knowledge. The 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 Young} and Mersereau, {Russell M.} and Eisner, {Robert L.} and Pettigrew, {Roderic I.}",

year = "1989",

language = "English (US)",

volume = "3",

pages = "1783--1786",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

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

note = "1989 International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 23-05-1989 Through 26-05-1989",

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TY - JOUR

T1 - Knowledge-based boundary detection applied to cardiac magnetic resonance image sequences

AU - Suh, Doug Young

AU - Mersereau, Russell M.

AU - Eisner, Robert L.

AU - Pettigrew, Roderic I.

PY - 1989

Y1 - 1989

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 on the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The goal is a system for automatically classifying and measuring cardiac function through estimates of LV wall thickness, wall motion, etc. This knowledge-based system makes use of the Dempster and Shafer (D/S) theory to manage the knowledge. The 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 on the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The goal is a system for automatically classifying and measuring cardiac function through estimates of LV wall thickness, wall motion, etc. This knowledge-based system makes use of the Dempster and Shafer (D/S) theory to manage the knowledge. The 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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M3 - Conference article

AN - SCOPUS:0024934141

SN - 0736-7791

VL - 3

SP - 1783

EP - 1786

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 1989 International Conference on Acoustics, Speech, and Signal Processing

Y2 - 23 May 1989 through 26 May 1989

ER -

Knowledge-based boundary detection applied to cardiac magnetic resonance image sequences

Abstract

ASJC Scopus subject areas

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