TY - JOUR
T1 - WarpDrive
T2 - Improving spatial normalization using manual refinements
AU - Oxenford, Simón
AU - Ríos, Ana Sofía
AU - Hollunder, Barbara
AU - Neudorfer, Clemens
AU - Boutet, Alexandre
AU - Elias, Gavin J.B.
AU - Germann, Jurgen
AU - Loh, Aaron
AU - Deeb, Wissam
AU - Salvato, Bryan
AU - Almeida, Leonardo
AU - Foote, Kelly D.
AU - Amaral, Robert
AU - Rosenberg, Paul B.
AU - Tang-Wai, David F.
AU - Wolk, David A.
AU - Burke, Anna D.
AU - Sabbagh, Marwan N.
AU - Salloway, Stephen
AU - Chakravarty, M. Mallar
AU - Smith, Gwenn S.
AU - Lyketsos, Constantine G.
AU - Okun, Michael S.
AU - Anderson, William S.
AU - Mari, Zoltan
AU - Ponce, Francisco A.
AU - Lozano, Andres
AU - Neumann, Wolf Julian
AU - Al-Fatly, Bassam
AU - Horn, Andreas
N1 - Publisher Copyright:
© 2023
PY - 2024/1
Y1 - 2024/1
N2 - 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.
AB - 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.
KW - Deep brain stimulation
KW - Image normalization
KW - Interactive registration
UR - http://www.scopus.com/inward/record.url?scp=85180008805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85180008805&partnerID=8YFLogxK
U2 - 10.1016/j.media.2023.103041
DO - 10.1016/j.media.2023.103041
M3 - Article
C2 - 38007978
AN - SCOPUS:85180008805
SN - 1361-8415
VL - 91
JO - Medical Image Analysis
JF - Medical Image Analysis
M1 - 103041
ER -