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Nonlinear registration of longitudinal images and measurement of change in regions of interest

Multimodal Imaging Laboratory, The University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92037, USA.
Medical image analysis (Impact Factor: 3.68). 02/2011; 15(4):489-97. DOI: 10.1016/j.media.2011.02.005
Source: PubMed

ABSTRACT We describe here a method, Quarc, for accurately quantifying structural changes in organs, based on serial MRI scans. The procedure can be used to measure deformations globally or in regions of interest (ROIs), including large-scale changes in the whole organ, and subtle changes in small-scale structures. We validate the method with model studies, and provide an illustrative analysis using the brain. We apply the method to the large, publicly available ADNI database of serial brain scans, and calculate Cohen's d effect sizes for several ROIs. Using publicly available derived-data, we directly compare effect sizes from Quarc with those from four existing methods that quantify cerebral structural change. Quarc produced a slightly improved, though not significantly different, whole brain effect size compared with the standard KN-BSI method, but in all other cases it produced significantly larger effect sizes.

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    • "A specific category of spatial deformations has spanned the attention of researchers in this field: diffeomorphisms (smooth deformation with a smooth inverse). These were largely used in different registration models (Allassonnière et al., 2005; Beg et al., 2005; Holland and Dale, 2011; Klein et al., 2009) and became a part of the classical deformable template theory – especially after the establishment of the Large Deformation Diffeomorphic Metric Mapping (LDDMM) – pioneered by Dupuis et al. (1998) and Trouvé (1995, 1998). The metamorphosis theory is built upon the LDDMM framework which is based on the idea of a diffeomorphic metric. "
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