WarpDrive: Improving spatial normalization using manual refinements

doi:10.1016/j.media.2023.103041

WarpDrive: Improving spatial normalization using manual refinements

2024-01-01

3

OA

AI

M. Mallar Chakravarty

G

Gwenn S. Smith

C

Constantine G. Lyketsos

DOI：10.1016/j.media.2023.103041

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Spatial normalization-the process of mapping subject brain images to an average template brain-has evolved over the last 20+ years into a reliable method that facilitates the comparison of brain imaging results across patients, centers & modalities. While overall successful, sometimes, this automatic process yields suboptimal results, especially when dealing with brains with extensive neurodegeneration and atrophy patterns, or when high accuracy in specific regions is needed. Here we introduce WarpDrive, a novel tool for manual refinements of image alignment after automated registration. We show that the tool applied in a cohort of patients with Alzheimer's disease who underwent deep brain stimulation surgery helps create more accurate representations of the data as well as meaningful models to explain patient outcomes. The tool is built to handle any type of 3Dimaging data, also allowing refinements in high-resolution imaging, including histology , multiple modalities to precisely aggregate multiple data sources together.

Keywords:

Image normalization

Interactive registration

Deep brain stimulation

WarpDrive: Improving spatial normalization using manual refinements

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