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Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing.
Fonseca, N C D; Bowerman, Jason; Askari, Pegah; Proskovec, Amy L; Feltrin, Fabricio Stewan; Veltkamp, Daniel; Early, Heather; Wagner, Ben C; Davenport, Elizabeth M; Maldjian, Joseph A.
Afiliação
  • Fonseca NCD; MEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Bowerman J; Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Askari P; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Proskovec AL; Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Feltrin FS; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Veltkamp D; MEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Early H; Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Wagner BC; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
  • Davenport EM; Biomedical Engineering Department, University of Texas Arlington, Arlington, TX 76019, USA.
  • Maldjian JA; Biomedical Engineering Department, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
J Imaging ; 10(4)2024 Mar 28.
Article em En | MEDLINE | ID: mdl-38667978
ABSTRACT
Magnetoencephalography (MEG) is a noninvasive neuroimaging technique widely recognized for epilepsy and tumor mapping. MEG clinical reporting requires a multidisciplinary team, including expert input regarding each dipole's anatomic localization. Here, we introduce a novel tool, the "Magnetoencephalography Atlas Viewer" (MAV), which streamlines this anatomical analysis. The MAV normalizes the patient's Magnetic Resonance Imaging (MRI) to the Montreal Neurological Institute (MNI) space, reverse-normalizes MNI atlases to the native MRI, identifies MEG dipole files, and matches dipoles' coordinates to their spatial location in atlas files. It offers a user-friendly and interactive graphical user interface (GUI) for displaying individual dipoles, groups, coordinates, anatomical labels, and a tri-planar MRI view of the patient with dipole overlays. It evaluated over 273 dipoles obtained in clinical epilepsy subjects. Consensus-based ground truth was established by three neuroradiologists, with a minimum agreement threshold of two. The concordance between the ground truth and MAV labeling ranged from 79% to 84%, depending on the normalization method. Higher concordance rates were observed in subjects with minimal or no structural abnormalities on the MRI, ranging from 80% to 90%. The MAV provides a straightforward MEG dipole anatomic localization method, allowing a nonspecialist to prepopulate a report, thereby facilitating and reducing the time of clinical reporting.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: J Imaging Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: J Imaging Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos