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ReMIND: The Brain Resection Multimodal Imaging Database.
Juvekar, Parikshit; Dorent, Reuben; Kögl, Fryderyk; Torio, Erickson; Barr, Colton; Rigolo, Laura; Galvin, Colin; Jowkar, Nick; Kazi, Anees; Haouchine, Nazim; Cheema, Harneet; Navab, Nassir; Pieper, Steve; Wells, William M; Bi, Wenya Linda; Golby, Alexandra; Frisken, Sarah; Kapur, Tina.
Afiliação
  • Juvekar P; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Dorent R; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Kögl F; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Torio E; Computer Aided Medical Procedures, Technische Universität München, Munich, Germany.
  • Barr C; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Rigolo L; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Galvin C; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Jowkar N; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Kazi A; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Haouchine N; Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Cheema H; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Navab N; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Pieper S; Department of Health Science, University of Ottawa, Ottawa, Canada.
  • Wells WM; Computer Aided Medical Procedures, Technische Universität München, Munich, Germany.
  • Bi WL; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Golby A; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Frisken S; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
  • Kapur T; Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Sci Data ; 11(1): 494, 2024 May 14.
Article em En | MEDLINE | ID: mdl-38744868
ABSTRACT
The standard of care for brain tumors is maximal safe surgical resection. Neuronavigation augments the surgeon's ability to achieve this but loses validity as surgery progresses due to brain shift. Moreover, gliomas are often indistinguishable from surrounding healthy brain tissue. Intraoperative magnetic resonance imaging (iMRI) and ultrasound (iUS) help visualize the tumor and brain shift. iUS is faster and easier to incorporate into surgical workflows but offers a lower contrast between tumorous and healthy tissues than iMRI. With the success of data-hungry Artificial Intelligence algorithms in medical image analysis, the benefits of sharing well-curated data cannot be overstated. To this end, we provide the largest publicly available MRI and iUS database of surgically treated brain tumors, including gliomas (n = 92), metastases (n = 11), and others (n = 11). This collection contains 369 preoperative MRI series, 320 3D iUS series, 301 iMRI series, and 356 segmentations collected from 114 consecutive patients at a single institution. This database is expected to help brain shift and image analysis research and neurosurgical training in interpreting iUS and iMRI.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Bases de Dados Factuais / Imagem Multimodal Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Bases de Dados Factuais / Imagem Multimodal Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article