A Model-Based Four-Dimensional Left Ventricular Surface Detector

Tracy L. Faber; Ronald M Peshock; Ronald M. Peshock; James R. Corbett

doi:10.1109/42.97581

A Model-Based Four-Dimensional Left Ventricular Surface Detector

Tracy L. Faber, Ronald M Peshock, Ronald M. Peshock, James R. Corbett

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

65 Scopus citations

Abstract

We have developed a general model-based surface detector for finding the four-dimensional (three spatial dimensions plus time) endocardial and epicardial left ventricular boundaries. The model encoded LV shape, smoothness, and connectivity into the compatibility coefficients of a relaxation labeling algorithm. This surface detection method was applied to gated SPECT perfusion images, tomographic radionuclide ventriculograms, and cardiac rotation magnetic resonance images. Its accuracy was investigated using actual patient data.Global left ventricular volumes correlated well, with a maximum correlation coefficient of 0.98 for MR endocardial surfaces and a minimum of 0.88 for SPECT epicardial surfaces. The average absolute errors of edge detection were 6.4, 5.6, and 4.6 mm for tomographic radionuclide ventriculograms, gated perfusion SPECT, and magnetic resonance images, respectively.

Original language	English (US)
Pages (from-to)	321-329
Number of pages	9
Journal	IEEE Transactions on Medical Imaging
Volume	10
Issue number	3
DOIs	https://doi.org/10.1109/42.97581
State	Published - Sep 1991

ASJC Scopus subject areas

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

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title = "A Model-Based Four-Dimensional Left Ventricular Surface Detector",

abstract = "We have developed a general model-based surface detector for finding the four-dimensional (three spatial dimensions plus time) endocardial and epicardial left ventricular boundaries. The model encoded LV shape, smoothness, and connectivity into the compatibility coefficients of a relaxation labeling algorithm. This surface detection method was applied to gated SPECT perfusion images, tomographic radionuclide ventriculograms, and cardiac rotation magnetic resonance images. Its accuracy was investigated using actual patient data.Global left ventricular volumes correlated well, with a maximum correlation coefficient of 0.98 for MR endocardial surfaces and a minimum of 0.88 for SPECT epicardial surfaces. The average absolute errors of edge detection were 6.4, 5.6, and 4.6 mm for tomographic radionuclide ventriculograms, gated perfusion SPECT, and magnetic resonance images, respectively.",

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AB - We have developed a general model-based surface detector for finding the four-dimensional (three spatial dimensions plus time) endocardial and epicardial left ventricular boundaries. The model encoded LV shape, smoothness, and connectivity into the compatibility coefficients of a relaxation labeling algorithm. This surface detection method was applied to gated SPECT perfusion images, tomographic radionuclide ventriculograms, and cardiac rotation magnetic resonance images. Its accuracy was investigated using actual patient data.Global left ventricular volumes correlated well, with a maximum correlation coefficient of 0.98 for MR endocardial surfaces and a minimum of 0.88 for SPECT epicardial surfaces. The average absolute errors of edge detection were 6.4, 5.6, and 4.6 mm for tomographic radionuclide ventriculograms, gated perfusion SPECT, and magnetic resonance images, respectively.

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A Model-Based Four-Dimensional Left Ventricular Surface Detector

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