Paper Info
Title
3D coronary structure tracking algorithm with regularization and multiple hypotheses in MRI
Abstract
This paper presents an improved version of a tracking algorithm for the extraction of the 3D central axis of tubular-like object in a low-contrast and multi-object environment. This improvement concerns two aspects: (1) an efficient Infinite Impulse Response (IIR) filtering of the successive tracking directions is used to introduce regularization and (2) a multiple hypotheses testing procedure allows an almost exhaustive selection of the best centreline location by building different paths according to the applied parameters. A score is then computed for each hypothesis that helps in the selection of the best path along the tree. The improved tracking algorithm is tested on Magnetic Resonance Angiography (MRA) datasets to extract the coronary artery centrelines.
Year
DOI
Venue
2010
10.1109/ISBI.2010.5490421
Rotterdam
Keywords
Field
DocType
IIR filters,biomedical MRI,blood vessels,feature extraction,medical image processing,MRI,coronary artery centrelines,coronary structure 3D tracking algorithm,infinite impulse response filtering,magnetic resonance angiography,multiple hypotheses,regularization,tubular-like object 3D central axis extraction,Coronary MRA,IIR,Multiple hypotheses,Regularization,Spatial tracking
Computer vision,Pattern recognition,Computer science,Infinite impulse response,Length measurement,Multiple hypotheses,Filter (signal processing),Algorithm,Feature extraction,Regularization (mathematics),Artificial intelligence,Image resolution
Conference
ISSN
ISBN
Citations 
1945-7928 E-ISBN : 978-1-4244-4126-6
978-1-4244-4126-6
4
PageRank 
References 
Authors
0.49
8
3
Name
Order
Citations
PageRank
Jérôme Velut140.49
Christine Toumoulin240.49
Coatrieux, J.L.3142.34