1) Provide an overview of current methods for registration based automated brain morphometry. 2) Describe key factors governing non-rigid registration methods for morphometry. 3) Describe methods of characterizing brain shape and shape change from spatial transformations. 4) Provide an overview of methods for spatial statistical analysis of deformation fields for morphometry. 5) Provide specific examples of the applications of these methods in the study of neuroanatomy in degenerative disease and developmental abnormalities.
This lecture will describe and review the basic ideas underpinning current developments in automated brain morphometry. Specifically, it will focus on the area of registration based morphometry which seeks to provide spatial maps of brain shape and shape change in normal and disease states. The talk will first describe the specific challenges for image registration techniques in this application and their use in capturing a geometric description of the difference between two anatomies. The talk will then cover basic concepts in analyzing the spatial deformations between anatomies to provide clinically meaningful spatial maps of anatomical difference. These will include the analysis of displacement fields and so called deformation tensor morphometry, particularly applicable to studying relative tissue volume loss or growth. Extensive examples of applying the techniques in different research studies from aging, neurodegeneration and alcohol abuse to developmental anatomy will be given.
Studholme, C,
Registration, Anatomy, and Morphometry. Radiological Society of North America 2007 Scientific Assembly and Annual Meeting, November 25 - November 30, 2007 ,Chicago IL.
http://archive.rsna.org/2007/4405290.html
