Journal article
Intracardiac echocardiography: computerized detection of left ventricular borders
International journal of cardiac imaging, Vol.14(6), pp.397-411
12/1998
DOI: 10.1023/A:1006114907352
PMID: 10453395
Abstract
A semi-automated method for two- and three-dimensional analysis of intracardiac echocardiography (ICE) images and image sequences is reported based on detection of epicardial and endocardial borders using graph searching. The border detection method was applied to 50 ICE images acquired in vivo in five dogs and to 108 images in 16 volumetric ICE image sequences from eight cadaveric pig hearts. The ICE images from the in vivo study showed good correlation between computer-detected and observer-defined left ventricular (LV) cavity areas and epicardial areas (r=0.99, y=0.98x+0.43[cm2]; r=0.99, y=0.98x+1.11[cm2]; respectively). In the cadaveric hearts, the LV volumes were determined with the volume measurement error of 7.6±7.7% and 11.3±11.2% for the aortic valve and mitral valve image sequences, respectively. Our method facilitates an accurate and computationally efficient approach for the quantitative assessment of ICE image data in 2D and 3D.
Details
- Title: Subtitle
- Intracardiac echocardiography: computerized detection of left ventricular borders
- Creators
- Milan Sonka - Department of Electrical and Computer Engineering The University of Iowa Iowa City USAWeidong Liang - Department of Electrical and Computer Engineering The University of Iowa Iowa City USAPrapti Kanani - Department of Pediatrics The University of Iowa Iowa City USAJohn Allan - Department of Internal Medicine The University of Iowa, Iowa City USASteve DeJong - Department of Internal Medicine The University of Iowa, Iowa City USARichard Kerber - Department of Internal Medicine The University of Iowa, Iowa City USACharles McKay - Department of Internal Medicine The University of Iowa, Iowa City USA
- Resource Type
- Journal article
- Publication Details
- International journal of cardiac imaging, Vol.14(6), pp.397-411
- DOI
- 10.1023/A:1006114907352
- PMID
- 10453395
- NLM abbreviation
- Int J Card Imaging
- ISSN
- 0167-9899
- eISSN
- 1573-0743
- Publisher
- Kluwer Academic Publishers; Dordrecht
- Language
- English
- Date published
- 12/1998
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047709502771
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