Least biased target selection in probabilistic atlas construction

Authors:
Hyunjin Park;Peyton H. Bland;Alfred O. Hero;Charles R. Meyer
Affiliations:
Department of Radiology, University of Michigan, Ann Arbor, MI;Department of Radiology, University of Michigan, Ann Arbor, MI;Department of Electric Engineering and Computer Science, University of Michigan, Ann Arbor, MI;Department of Radiology, University of Michigan, Ann Arbor, MI
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Year:
2005

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Abstract

Probabilistic atlas has broad applications in medical image segmentation and registration. The most common problem building a probabilistic atlas is picking a target image upon which to map the rest of the training images. Here we present a method to choose a target image that is the closest to the mean geometry of the population under consideration as determined by bending energy. Our approach is based on forming a distance matrix based on bending energies of all pair-wise registrations and performing multidimensional scaling (MDS) on the distance matrix.