Paper Info
Title
A Non-Linear Registration Method For Dce-Mri And Dce-Ct Comparison In Bladder Tumors
Abstract
The objective of this work is to examine the feasibility of a method to register dynamic contrast enhanced computed X-ray tomography (DCE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) datasets in order to make possible the comparison of parametric maps generated from tracer kinetic modeling. First, the CT and MR dynamic sets were matched temporally using a cross-correlation maximization approach. The registration was then performed through an affine transformation followed by a non-linear registration using free-form deformations (FFDs) based on B-splines. This was determined from the CT-MR pair that maximized Normalized Mutual Information (NMI). Then the 'extended Kety' model was fitted to both CT and MR and K-trans, v(e) and v(p) parameters were obtained. The method was applied to 5 patients with bladder tumors. After registration, the overlap matching between CT and MR volume of interest (VOI) was on average 91%.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4541191
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4
Keywords
Field
DocType
registration, inter-modal, DCE-MRI, DCE-CT, tracer kinetic modeling
Affine transformation,Computer vision,Medical imaging,Computer science,Tomography,Parametric statistics,Mutual information,Artificial intelligence,Dynamic contrast-enhanced MRI,Image registration,Magnetic resonance imaging
Conference
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
1
15
Name
Order
Citations
PageRank
Katia M. Passera1132.35
Luca T. Mainardi210626.02
Deirdre Mcgrath300.34
Josephine H. Naish442.06
David L. Buckley501.01
Sue Cheung641.27
Yvonne Watson741.27
Angela Caunce8182.56
Giovanni A. Buonaccorsi940.93
John P. Logue1000.34
Marcus B. Taylor1100.34
Chris Taylor1200.34
John C. Waterton1315314.44
Helen Young1400.34
Geoffrey J. M. Parker1544439.62