Least biased target selection in probabilistic atlas construction.
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.
Park
Hyunjin
H
Department of Radiology, University of Michigan, Ann Arbor, MI, USA. hyunjinp@umich.edu
Bland
Peyton H
PH
Hero
Alfred O
AO
Meyer
Charles R
CR