Paper
1 May 1994 Development and application of image processing, data processing, database, and data query tools to study post-infarction cardiac remodeling in man
John A. Rumberger, Judd E. Reed, Thomas Behrenbeck, Patrick J. Davitt, Patrick F. Sheedy II
Author Affiliations +
Abstract
In the latter 1970s, largely due to the development of echocardiography and the ready availability of invasive contrast ventriculography, clinicians noted that distinct and serial changes occurred in the heart after infarction where cardiac enlargement could progress long after completion of scarring in the infarct region. Similar changes have also been observed in the non-infarcted or non-ischemic myocardial regions commencing within days of infarction. This process, which involves both viable and infarcted heart muscle, has been termed `post- infarction cardiac remodeling.' A major obstacle to further comprehension of post-infarction cardiac remodeling in man has been related to limitations in applications of conventional cardiac imaging methods and conventional cardiac image processing. Electron beam computed tomography (EBCT) has emerged recently as an alternative means to image the heart and has been extensively validated for studies of ventricular volumes, function, muscle mass, shape, characterization of regional mechanics, and affords 3-D image registration. A research investigation was designed which involved a total of 55 patients entered prospectively following an index myocardial infarction. Each was imaged using EBCT at hospital discharge, six-weeks, six-months and one-year after the event.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John A. Rumberger, Judd E. Reed, Thomas Behrenbeck, Patrick J. Davitt, and Patrick F. Sheedy II "Development and application of image processing, data processing, database, and data query tools to study post-infarction cardiac remodeling in man", Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); https://doi.org/10.1117/12.174388
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Cited by 5 scholarly publications.
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KEYWORDS
Databases

Tomography

Heart

Image processing

Data processing

Analytical research

Image segmentation

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