Journal article
Segmentation of wall and plaque in in vitro vascular MR images
The International Journal of Cardiac Imaging, Vol.19(5), pp.419-428
10/2003
DOI: 10.1023/A:1025829232098
PMID: 14609192
Abstract
Atherosclerosis leads to heart attack and stroke, which are major killers in the western world. These cardiovascular events frequently result from local rupture of vulnerable atherosclerotic plaque. Non-invasive assessment of plaque vulnerability would dramatically change the way in which atherosclerotic disease is diagnosed, monitored, and treated. In this paper, we report a computerized method for segmentation of arterial wall layers and plaque from high-resolution volumetric MR images. The method uses dynamic programming to detect optimal borders in each MRI frame. The accuracy of the results was tested in 62 T1-weighted MR images from six vessel specimens in comparison to borders manually determined by an expert observer. The mean signed border positioning errors for the lumen, internal elastic lamina, and external elastic lamina borders were −0.1 ± 0.1, 0.0 ± 0.1, and −0.1 ± 0.1 mm, respectively. The presented wall layer segmentation approach is one of the first steps towards non-invasive assessment of plaque vulnerability in atherosclerotic subjects.
Details
- Title: Subtitle
- Segmentation of wall and plaque in in vitro vascular MR images
- Creators
- Fuxing Yang - Department of Electrical and Computer Engineering The University of Iowa Iowa City IA USAGerhard Holzapfel - Institute of Structural Analysis – Computational Biomechanics Graz University of Technology AustriaChristian Schulze-Bauer - Institute of Structural Analysis – Computational Biomechanics Graz University of Technology AustriaRudolf Stollberger - Magnetic Resonance Institute University of Graz AustriaDaniel Thedens - Department of Electrical and Computer Engineering The University of Iowa Iowa City IA USALizann Bolinger - Department of Radiology The University of Iowa Iowa City IA USAAlan Stolpen - Department of Radiology The University of Iowa Iowa City IA USAMilan Sonka - Department of Electrical and Computer Engineering The University of Iowa Iowa City IA USA
- Resource Type
- Journal article
- Publication Details
- The International Journal of Cardiac Imaging, Vol.19(5), pp.419-428
- DOI
- 10.1023/A:1025829232098
- PMID
- 14609192
- NLM abbreviation
- Int J Cardiovasc Imaging
- ISSN
- 1569-5794
- eISSN
- 1573-0743
- Publisher
- Kluwer Academic Publishers; Dordrecht
- Language
- English
- Date published
- 10/2003
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047769402771
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