WarpDrive: Improving Spatial Normalization Using Manual Refinements

Overview

Journal Med Image Anal

Publisher Elsevier

Specialty Radiology

Date 2023 Nov 26

PMID 38007978

Authors

Simon Oxenford

Ana Sofia Rios

Barbara Hollunder

Clemens Neudorfer

Alexandre Boutet

Gavin J B Elias

Jurgen Germann

Aaron Loh

Wissam Deeb

Bryan Salvato

Leonardo Almeida

Kelly D Foote

Robert Amaral

Paul B Rosenberg

David F Tang-Wai

David A Wolk

Anna D Burke

Marwan N Sabbagh

Stephen Salloway

M Mallar Chakravarty

Gwenn S Smith

Constantine G Lyketsos

Michael S Okun

William S Anderson

Zoltan Mari

Francisco A Ponce

Andres Lozano

Wolf-Julian Neumann

Bassam Al-Fatly

Andreas Horn

Affiliations

Soon will be listed here.

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.

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