Abstract #2866

Correcting for contrast differences across 3D T1 acquisitions

Sean N Hatton^1,2, Donald J Hagler^1,3,4, Joshua Kuperman^2,3,4, William S Kremen^1,2, and Anders M Dale^1,2,4,5

¹Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States, ²Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States, ³Department of Radiology, University of California, San Diego, La Jolla, CA, United States, ⁴Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, United States, ⁵Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States

The aim of this study was to correct volumetric differences between images acquired with different MRI parameters. We scanned six subjects on the same 3.0T MRI scanner using different T1-weighted imaging sequences. Images were corrected for gradient warping and intensity inhomogeneity, then we applied a novel white matter intensity scaling and a voxel-wise image intensity normalization process. The correction improved the goodness of fit, precision and accuracy of the volumetric segmentation of the target image to each test sequence (typically < 1% difference). This procedure is particularly effective for voxel-wise segmentation techniques over surface-based approaches.

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