3D MRA coronary axis determination using a minimum cost path approach
Open Access
- 7 June 2002
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 47 (6) , 1169-1175
- https://doi.org/10.1002/mrm.10164
Abstract
A method is introduced to automatically find the coronary axis based on two or more user‐defined points, even in the presence of a severe stenosis. The coronary axis is determined by finding a minimum cost path (MCP) in a feature image in which the tubular‐like structures are enhanced. The results of the proposed method were compared with manually drawn central axes to estimate the accuracy. In 32 3D TFE‐EPI acquisitions of patients and volunteers, 14 right coronary arteries (RCAs), 15 left anterior descending arteries (LADs), and eight left circumflex arteries (LCXs) were manually tracked twice by two operators to determine a reference axis and to assess the inter‐ and intra‐user variability. On average, the maximum distance to the reference axis, based on only two user‐defined points, is less than 1.5 mm; the average distance is around 0.65 mm, which is less than the average in‐plane resolution. The results of the method are comparable to those of the manual operators. Magn Reson Med 47:1169–1175, 2002.Keywords
This publication has 24 references indexed in Scilit:
- Fast extraction of minimal paths in 3D images and applications to virtual endoscopyMedical Image Analysis, 2001
- Vessel extraction in medical images by wave-propagation and tracebackIEEE Transactions on Medical Imaging, 2001
- Fast delineation and visualization of vessels in 3-D angiographic imagesIEEE Transactions on Medical Imaging, 2000
- An ultra-fast user-steered image segmentation paradigm: live wire on the flyIEEE Transactions on Medical Imaging, 2000
- Buckets, Heaps, Lists, and Monotone Priority QueuesSIAM Journal on Computing, 1999
- Model-based quantitation of 3-D magnetic resonance angiographic imagesIEEE Transactions on Medical Imaging, 1999
- High accuracy tracking of 2D/3D curved line-structures by consecutive cross-section matchingPattern Recognition Letters, 1998
- A Fully Parallel 3D Thinning Algorithm and Its ApplicationsComputer Vision and Image Understanding, 1996
- Tracking of cerebral vessels in MR angiography after highpass filteringMagnetic Resonance Imaging, 1995
- A note on two problems in connexion with graphsNumerische Mathematik, 1959