TY - JOUR
T1 - Simulation of tissue atrophy using a topology preserving transformation model
AU - Karaçali, Bilge
AU - Davatzikos, Christos
N1 - Funding Information:
Manuscript received October 27, 2005; revised February 16, 2006. This work was supported in part by the National Institutes of Health (NIH) under Grant R01 AG 14971 and ContractAG-93-07. Asterisk indicates corresponding author. *B. Karaçali is with the School of Biomedical Engineering, Science, and Health Systems, Drexel University, 3120–24 Market Street, Philadelphia, PA 19104 USA (bilge@drexel.edu). C. Davatzikos is with the Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104 USA (christos@rad.upenn.edu). Digital Object Identifier 10.1109/TMI.2006.873221
PY - 2006/5
Y1 - 2006/5
N2 - We propose a method to simulate atrophy and other similar volumetric change effects on medical images. Given a desired level of atrophy, we find a dense warping deformation that produces the corresponding levels of volumetric loss on the labeled tissue using an energy minimization strategy. Simulated results on a real brain image indicate that the method generates realistic images of tissue loss. The method does not make assumptions regarding the mechanics of tissue deformation, and provides a framework where a pre-specifled pattern of atrophy can readily be simulated. Furthermore, it provides exact correspondences between images prior and posterior to the atrophy that can be used to evaluate provisional image registration and atrophy quantification algorithms.
AB - We propose a method to simulate atrophy and other similar volumetric change effects on medical images. Given a desired level of atrophy, we find a dense warping deformation that produces the corresponding levels of volumetric loss on the labeled tissue using an energy minimization strategy. Simulated results on a real brain image indicate that the method generates realistic images of tissue loss. The method does not make assumptions regarding the mechanics of tissue deformation, and provides a framework where a pre-specifled pattern of atrophy can readily be simulated. Furthermore, it provides exact correspondences between images prior and posterior to the atrophy that can be used to evaluate provisional image registration and atrophy quantification algorithms.
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U2 - 10.1109/TMI.2006.873221
DO - 10.1109/TMI.2006.873221
M3 - Article
C2 - 16689268
AN - SCOPUS:33646393505
SN - 0278-0062
VL - 25
SP - 649
EP - 652
JO - IEEE transactions on medical imaging
JF - IEEE transactions on medical imaging
IS - 5
ER -