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Abstract

Grant Number:	5R44HL059054-03
PI Name:	JOHNSON, RICHARD K.
PI Email:	richj@quantigraphics.com
PI Title:
Project Title:	Automated Quantitation of 3D Echocardiograms

Abstract: In Phase I we developed a method for automated border detection (ABD) of echocardiographic scans that is feasible for clinical application. The accuracy of our processes provides exceeds Phase I goals and is comparable to interobserver variability in measuring volume and ejection fraction, and in border location. For a diverse set of patients, we have achieved an accuracy of 10 ml for endocardial volume, 4% for ejection fraction, and ,2.0 mm for border position. Our processes operates in 4 min. In Phase II we propose to continue research and development to move our ABD technology closer to clinical user. Our first specific aim is to reduce the amount of manual input required even further. Our second aim is to develop a prototype system suitable for clinical evaluation. Our third aim is to perform a pilot trial to evaluate the performance of our ABD process, as a preparation for a more formal, multi-center clinical trial planned for Phase III. The proposed research is important because quantitative 3D echo provides greater accuracy and reproducibility and more comprehensive information on cardiac status than currently available imaging techniques. The significant advantages of 3D echo are not currently available for clinical practice because it is impractical without automation. PROPOSED COMMERCIAL APPLICATIONS: Automation of echocardiogram border detection enables physicians to obtain accurate, reproducible and comprehensive measurements of the heart's size, shape and function. This technology can be included in ultrasound systems or provided in workstations. The core technology can be applied to other organs and other imaging modalities.

Thesaurus Terms:
biomedical automation, biomedical equipment development, computer program /software, computer system design /evaluation, diagnosis design /evaluation, echocardiography, heart disorder diagnosis, image processing
artificial intelligence, heart ventricle, papillary muscle, pericardium
bioimaging /biomedical imaging, clinical research, human subject

Institution:	QUANTIGRAPHICS, INC.
	5237 82ND AVE SE
	MERCER ISLAND, WA 98040
Fiscal Year:	2003
Department:
Project Start:	01-AUG-1998
Project End:	31-MAY-2004
ICD:	NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
IRG:	ZRG1

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