Literature DB >> 15234445

Characterizing changes in MR images with color-coded Jacobians.

William R Riddle1, Rui Li, J Michael Fitzpatrick, Susan C DonLevy, Benoit M Dawant, Ronald R Price.   

Abstract

Image registration is the process of establishing spatial correspondence between two images or between two image volumes. Registration can be achieved by rigid, elastic, or a combination of rigid and elastic transforms that attempt to bring the two images into coincidence. A rigid transform accounts for differences in positioning and an elastic transform describes deformations due to differences in tissue properties, temporal changes due to growth or atrophy, or differences between individuals. Deformation-based morphometry uses the resulting deformation fields from these transforms to evaluate differences between the images being registered. Three methods of registration were evaluated: rigid (affine) transformation, elastic optical flow transformation, and elastic spline transformation. All three methods produce vector deformation fields that map each point in one image to a point in the other image. A 12-color map of the transformation Jacobian was used to represent local volume changes. Using the three registration methods, color-mapped Jacobians were determined using a simulated three-dimensional block with known translation, rotation, expansion, contraction, and intensity modulations. Color-coded Jacobians were also generated for experimentally measured magnetic resonance image volumes of water-filled balloons and 7-year-old twin boys. Color-coded Jacobians overlaid on anatomical images provide a convenient method to identify regional tissue expansion and contraction.

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Year:  2004        PMID: 15234445     DOI: 10.1016/j.mri.2004.01.078

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  30 in total

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10.  Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials.

Authors:  Xue Hua; Derrek P Hibar; Christopher R K Ching; Christina P Boyle; Priya Rajagopalan; Boris A Gutman; Alex D Leow; Arthur W Toga; Clifford R Jack; Danielle Harvey; Michael W Weiner; Paul M Thompson
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