WarpDrive: Improving spatial normalization using manual refinements.

Document Type

Article

Abstract

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 3D imaging data, also allowing refinements in high-resolution imaging, including histology and multiple modalities to precisely aggregate multiple data sources together.

Medical Subject Headings

Humans; Image Processing, Computer-Assisted; Brain; Imaging, Three-Dimensional; Brain Mapping; Alzheimer Disease; Magnetic Resonance Imaging

Publication Date

1-1-2024

Publication Title

Medical image analysis

ISSN

1361-8423

Volume

91

First Page

103041

Last Page

103041

PubMed ID

38007978

Digital Object Identifier (DOI)

10.1016/j.media.2023.103041

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