NDLI: Serial nonrigid vascular registration using weighted normalized mutual information

Content Provider	IEEE Xplore Digital Library
Author	Suh, J.W. Scheinost, D. Qian, X. Sinusas, A.J. Breuer, C.K. Papademetris, X.
Copyright Year	2010
Description	Author affiliation: Department of Surgery, Yale University, USA (Breuer, C.K.) \|\| Department of Computer Science and Engineering, University of South Florida, USA (Qian, X.) \|\| Diagnostic Radiology, Yale University, USA (Suh, J.W.; Scheinost, D.; Papademetris, X.) \|\| Internal Medicine, Yale University, USA (Sinusas, A.J.)
Abstract	Vascular registration is a challenging problem with many potential applications. However, registering vessels accurately is difficult as they often occupy a small portion of the image and their relative motion/deformation is swamped by the displacements seen in large organs such as the heart and the liver. Our registration method uses a vessel detection algorithm to generate a vesselness image (probability of having a vessel at any given voxel) which is used to construct a weighting factor that is used to modify the intensity metric to give preference to vascular structures while maintaining the larger context. Therefore, our proposing method uses fully data-driven calculated weights and needs no prior knowledge for the weight calculation. We applied our method to the registration of serial MRI lamb images obtained from studies on tissue engineered vascular grafts and demonstrate encouraging performance as compared to non-weighted registration methods.
Starting Page	25
Ending Page	28
File Size	493380
Page Count	4
File Format	PDF
ISBN	9781424441259
ISSN	19457928
DOI	10.1109/ISBI.2010.5490422
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-14
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mutual information Biomedical imaging Biomedical engineering Heart Liver Cardiac disease Arteries Animals Histograms Entropy weighted mutual information vascular registration
Content Type	Text
Resource Type	Article

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