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Using synthetic MR images for distortion correction.
Montez, David F; Van, Andrew N; Miller, Ryland L; Seider, Nicole A; Marek, Scott; Zheng, Annie; Newbold, Dillan J; Scheidter, Kristen; Feczko, Eric; Perrone, Anders J; Miranda-Dominguez, Oscar; Earl, Eric A; Kay, Benjamin P; Jha, Abhinav K; Sotiras, Aristeidis; Laumann, Timothy O; Greene, Deanna J; Gordon, Evan M; Tisdall, M Dylan; van der Kouwe, Andre; Fair, Damien A; Dosenbach, Nico U F.
Afiliación
  • Montez DF; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America. Electronic address: montez.david.f@wustl.edu.
  • Van AN; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Miller RL; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Seider NA; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Marek S; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Zheng A; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Newbold DJ; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Neurology, New York University Langone Medical Center, New York, NY 10016, United States of America.
  • Scheidter K; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Feczko E; Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America.
  • Perrone AJ; Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America; Department of Psychiatry, Oregon Health and Science University, Portland, OR 97239, United States of America.
  • Miranda-Dominguez O; Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America.
  • Earl EA; Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America; Department of Psychiatry, Oregon Health and Science University, Portland, OR 97239, United States of America.
  • Kay BP; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Jha AK; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Sotiras A; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Institute for Informatics, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Laumann TO; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Greene DJ; Department of Cognitive Science, University of California, San Diego, La Jolla CA 92093, United States of America.
  • Gordon EM; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States of America.
  • Tisdall MD; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
  • van der Kouwe A; Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, United States of America; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States of America.
  • Fair DA; Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States of America; Institute of Child Development, University of Minnes
  • Dosenbach NUF; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110, United States of America; Department of Radiology, Washington University School of Me
Dev Cogn Neurosci ; 60: 101234, 2023 04.
Article en En | MEDLINE | ID: mdl-37023632
Functional MRI (fMRI) data acquired using echo-planar imaging (EPI) are highly distorted by magnetic field inhomogeneities. Distortion and differences in image contrast between EPI and T1-weighted and T2-weighted (T1w/T2w) images makes their alignment a challenge. Typically, field map data are used to correct EPI distortions. Alignments achieved with field maps can vary greatly and depends on the quality of field map data. However, many public datasets lack field map data entirely. Additionally, reliable field map data is often difficult to acquire in high-motion pediatric or developmental cohorts. To address this, we developed Synth, a software package for distortion correction and cross-modal image registration that does not require field map data. Synth combines information from T1w and T2w anatomical images to construct an idealized undistorted synthetic image with similar contrast properties to EPI data. This synthetic image acts as an effective reference for individual-specific distortion correction. Using pediatric (ABCD: Adolescent Brain Cognitive Development) and adult (MSC: Midnight Scan Club; HCP: Human Connectome Project) data, we demonstrate that Synth performs comparably to field map distortion correction approaches, and often outperforms them. Field map-less distortion correction with Synth allows accurate and precise registration of fMRI data with missing or corrupted field map information.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador Límite: Adolescent / Adult / Child / Humans Idioma: En Revista: Dev Cogn Neurosci Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador Límite: Adolescent / Adult / Child / Humans Idioma: En Revista: Dev Cogn Neurosci Año: 2023 Tipo del documento: Article