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