LV chamber extraction from 3-d CT images- accuracy and precision

William E. Higgins; Namsik Chung; Erik L. Ritman

doi:10.1016/0895-6111(92)90195-F

LV chamber extraction from 3-d CT images- accuracy and precision

William E. Higgins, Namsik Chung, Erik L. Ritman

Physiology & Biomedical Engineering

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

16 Scopus citations

Abstract

Measurement of left ventricular (LV) chamber volume and shape from three-dimensional (3-D) CT images, generated by the fast X-ray CT scanner known as the dynamic spatial reconstructor, has previously been done using manual slice-image editing. To reduce the exorbitant operator analysis time and operator-dependent measurement variations of manual slice-image editing, we have devised a semiautomatic method for LV-chamber extraction. The method draws upon a minimum requirement for selective manual slice-image editing and mostly makes use of automatic image-analysis operations. Detailed validation results over a wide range of hemodynamic and image-analysis conditions show that the measurements of the semiautomatic method strongly correlate with those made via manual slice-image editing and exhibit a lower intertrial variability. Further, the method reduces operator interaction time by nearly an order of magnitude over that of manual slice image editing, but provides more detailed 3-D structural definition.

Original language	English (US)
Pages (from-to)	17-26
Number of pages	10
Journal	Computerized Medical Imaging and Graphics
Volume	16
Issue number	1
DOIs	https://doi.org/10.1016/0895-6111(92)90195-F
State	Published - 1992

Keywords

Cardiac imaging
Computed tomography
Left ventricular analysis
Three-dimensional image analysis and display
Three-dimensional imaging
Volume measurement

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Health Informatics
Computer Graphics and Computer-Aided Design

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10.1016/0895-6111(92)90195-F

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title = "LV chamber extraction from 3-d CT images- accuracy and precision",

abstract = "Measurement of left ventricular (LV) chamber volume and shape from three-dimensional (3-D) CT images, generated by the fast X-ray CT scanner known as the dynamic spatial reconstructor, has previously been done using manual slice-image editing. To reduce the exorbitant operator analysis time and operator-dependent measurement variations of manual slice-image editing, we have devised a semiautomatic method for LV-chamber extraction. The method draws upon a minimum requirement for selective manual slice-image editing and mostly makes use of automatic image-analysis operations. Detailed validation results over a wide range of hemodynamic and image-analysis conditions show that the measurements of the semiautomatic method strongly correlate with those made via manual slice-image editing and exhibit a lower intertrial variability. Further, the method reduces operator interaction time by nearly an order of magnitude over that of manual slice image editing, but provides more detailed 3-D structural definition.",

keywords = "Cardiac imaging, Computed tomography, Left ventricular analysis, Three-dimensional image analysis and display, Three-dimensional imaging, Volume measurement",

author = "Higgins, {William E.} and Namsik Chung and Ritman, {Erik L.}",

note = "Funding Information: Acknowledgments-This work was supported in part by grants HL 07269k, HL 04664, and CA 53607 from the National Institutes of Health, U.S. Public Health Service. The authors thank Patricia E. Beighley and Donald L. Cravath for their assistance in analyzing the 3-D images, Christine Welch for preparing the figures, and the technical staff of the Biodynamics Research Unit for their support in the use of the dynamic spatial reconstructor and image-analysis workstations.",

year = "1992",

doi = "10.1016/0895-6111(92)90195-F",

language = "English (US)",

volume = "16",

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AU - Higgins, William E.

AU - Chung, Namsik

AU - Ritman, Erik L.

N1 - Funding Information: Acknowledgments-This work was supported in part by grants HL 07269k, HL 04664, and CA 53607 from the National Institutes of Health, U.S. Public Health Service. The authors thank Patricia E. Beighley and Donald L. Cravath for their assistance in analyzing the 3-D images, Christine Welch for preparing the figures, and the technical staff of the Biodynamics Research Unit for their support in the use of the dynamic spatial reconstructor and image-analysis workstations.

PY - 1992

Y1 - 1992

N2 - Measurement of left ventricular (LV) chamber volume and shape from three-dimensional (3-D) CT images, generated by the fast X-ray CT scanner known as the dynamic spatial reconstructor, has previously been done using manual slice-image editing. To reduce the exorbitant operator analysis time and operator-dependent measurement variations of manual slice-image editing, we have devised a semiautomatic method for LV-chamber extraction. The method draws upon a minimum requirement for selective manual slice-image editing and mostly makes use of automatic image-analysis operations. Detailed validation results over a wide range of hemodynamic and image-analysis conditions show that the measurements of the semiautomatic method strongly correlate with those made via manual slice-image editing and exhibit a lower intertrial variability. Further, the method reduces operator interaction time by nearly an order of magnitude over that of manual slice image editing, but provides more detailed 3-D structural definition.

AB - Measurement of left ventricular (LV) chamber volume and shape from three-dimensional (3-D) CT images, generated by the fast X-ray CT scanner known as the dynamic spatial reconstructor, has previously been done using manual slice-image editing. To reduce the exorbitant operator analysis time and operator-dependent measurement variations of manual slice-image editing, we have devised a semiautomatic method for LV-chamber extraction. The method draws upon a minimum requirement for selective manual slice-image editing and mostly makes use of automatic image-analysis operations. Detailed validation results over a wide range of hemodynamic and image-analysis conditions show that the measurements of the semiautomatic method strongly correlate with those made via manual slice-image editing and exhibit a lower intertrial variability. Further, the method reduces operator interaction time by nearly an order of magnitude over that of manual slice image editing, but provides more detailed 3-D structural definition.

KW - Cardiac imaging

KW - Computed tomography

KW - Left ventricular analysis

KW - Three-dimensional image analysis and display

KW - Three-dimensional imaging

KW - Volume measurement

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LV chamber extraction from 3-d CT images- accuracy and precision

Abstract

Keywords

ASJC Scopus subject areas

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