Title
Shared-boundary fusion for estimation of noisy multi-modality atherosclerotic plaque imagery
Abstract
Our work focuses on applying boundary-preserving smoothing techniques to the fusion of multiple image modal- ities in an effort to improve image-based classification of atherosclerotic lesions. No single imaging modality has yet demonstrated the ability to reliably detect "vulnerable" le- sions. We present an approach for estimating multi-modality biomedical imagery when tissue classes are sharply delim- ited by boundaries. Our approach is based on the Mumford- Shah framework for edge-preserving smoothing. We ex- ploit this framework to fuse heterogeneous sensing modal- ities that image unrelated physicochemical parameters of a piecewise-homogeneous tissue field. We demonstrate this approach by fusing boundary field estimates from MR and CT atherosclerotic lesion imagery into a single estimated underlying tissue boundary field, while simultaneously es- timating the original imagery to better estimate tissue char- acteristics and structure.
Year
DOI
Venue
2002
10.1109/ICIP.2002.1038929
Image Processing. 2002. Proceedings. 2002 International Conference  
Keywords
Field
DocType
biomedical MRI,cardiovascular system,computerised tomography,medical image processing,sensor fusion,smoothing methods,CT imagery,MR imagery,Mumford-Shah framework,atherosclerotic lesions,biomedical imagery,boundary-preserving smoothing techniques,edge-preserving smoothing,fusion,heterogeneous sensing modalities,image-based classification,multiple image modalities,noisy multi-modality atherosclerotic plaque imagery,physicochemical parameters,piecewise-homogeneous tissue field,shared-boundary fusion,tissue classes
Modalities,Computer vision,Pattern recognition,Computer science,Fusion,Sensor fusion,Smoothing,Artificial intelligence,Fuse (electrical)
Conference
Volume
ISSN
Citations 
3
1522-4880
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Robert A. Weisenseel100.68
William Clement Karl27913.41
Raymond C Chan3527.35