Your browser doesn't support javascript.
loading
Repeat it without me: Crowdsourcing the T1 mapping common ground via the ISMRM reproducibility challenge.
Boudreau, Mathieu; Karakuzu, Agah; Cohen-Adad, Julien; Bozkurt, Ecem; Carr, Madeline; Castellaro, Marco; Concha, Luis; Doneva, Mariya; Dual, Seraina A; Ensworth, Alex; Foias, Alexandru; Fortier, Véronique; Gabr, Refaat E; Gilbert, Guillaume; Glide-Hurst, Carri K; Grech-Sollars, Matthew; Hu, Siyuan; Jalnefjord, Oscar; Jovicich, Jorge; Keskin, Kübra; Koken, Peter; Kolokotronis, Anastasia; Kukran, Simran; Lee, Nam G; Levesque, Ives R; Li, Bochao; Ma, Dan; Mädler, Burkhard; Maforo, Nyasha G; Near, Jamie; Pasaye, Erick; Ramirez-Manzanares, Alonso; Statton, Ben; Stehning, Christian; Tambalo, Stefano; Tian, Ye; Wang, Chenyang; Weiss, Kilian; Zakariaei, Niloufar; Zhang, Shuo; Zhao, Ziwei; Stikov, Nikola.
Afiliação
  • Boudreau M; NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada.
  • Karakuzu A; Montreal Heart Institute, Montréal, Quebec, Canada.
  • Cohen-Adad J; NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada.
  • Bozkurt E; NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada.
  • Carr M; Montreal Heart Institute, Montréal, Quebec, Canada.
  • Castellaro M; Unité de Neuroimagerie Fonctionnelle, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada.
  • Concha L; Mila-Quebec AI Institute, Montréal, Québec, Canada.
  • Doneva M; Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montréal, Québec, Canada.
  • Dual SA; Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA.
  • Ensworth A; Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, Australia.
  • Foias A; Department of Medical Physics, Liverpool and Macarthur Cancer Therapy Centers, Liverpool, Australia.
  • Fortier V; Department of Information Engineering, University of Padova, Padova, Italy.
  • Gabr RE; Institute of Neurobiology, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico.
  • Gilbert G; Philips Research Hamburg, Hamburg, Germany.
  • Glide-Hurst CK; Department of Radiology, Stanford University, Stanford, California, USA.
  • Grech-Sollars M; Medical Physics Unit, McGill University, Montréal, Québec, Canada.
  • Hu S; University of British Columbia, Vancouver, British Columbia, Canada.
  • Jalnefjord O; NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada.
  • Jovicich J; Department of Medical Imaging, McGill University Health Center, Montréal, Québec, Canada.
  • Keskin K; Department of Radiology, McGill University, Montréal, Québec, Canada.
  • Koken P; Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas, USA.
  • Kolokotronis A; MR Clinical Science, Philips Canada, Mississauga, Ontario, Canada.
  • Kukran S; Department of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Lee NG; Center for Medical Image Computing, Department of Computer Science, University College London, London, UK.
  • Levesque IR; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.
  • Li B; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
  • Ma D; Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Mädler B; Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Maforo NG; Center for Mind/Brain Sciences, University of Trento, Trento, Italy.
  • Near J; Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA.
  • Pasaye E; Philips Research Hamburg, Hamburg, Germany.
  • Ramirez-Manzanares A; Medical Physics Unit, McGill University, Montréal, Québec, Canada.
  • Statton B; Hopital Maisonneuve-Rosemont, Montréal, Québec, Canada.
  • Stehning C; Bioengineering, Imperial College London, London, UK.
  • Tambalo S; Radiotherapy and Imaging, Institute of Cancer Research, Imperial College London, London, UK.
  • Tian Y; Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA.
  • Wang C; Medical Physics Unit, McGill University, Montréal, Québec, Canada.
  • Weiss K; Research Institute of the McGill University Health Center, Montréal, Québec, Canada.
  • Zakariaei N; Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA.
  • Zhang S; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
  • Zhao Z; Clinical Science, Philips Healthcare, Hamburg, Germany.
  • Stikov N; Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA.
Magn Reson Med ; 92(3): 1115-1127, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38730562
ABSTRACT

PURPOSE:

T1 mapping is a widely used quantitative MRI technique, but its tissue-specific values remain inconsistent across protocols, sites, and vendors. The ISMRM Reproducible Research and Quantitative MR study groups jointly launched a challenge to assess the reproducibility of a well-established inversion-recovery T1 mapping technique, using acquisition details from a seminal T1 mapping paper on a standardized phantom and in human brains.

METHODS:

The challenge used the acquisition protocol from Barral et al. (2010). Researchers collected T1 mapping data on the ISMRM/NIST phantom and/or in human brains. Data submission, pipeline development, and analysis were conducted using open-source platforms. Intersubmission and intrasubmission comparisons were performed.

RESULTS:

Eighteen submissions (39 phantom and 56 human datasets) on scanners by three MRI vendors were collected at 3 T (except one, at 0.35 T). The mean coefficient of variation was 6.1% for intersubmission phantom measurements, and 2.9% for intrasubmission measurements. For humans, the intersubmission/intrasubmission coefficient of variation was 5.9/3.2% in the genu and 16/6.9% in the cortex. An interactive dashboard for data visualization was also developed https//rrsg2020.dashboards.neurolibre.org.

CONCLUSION:

The T1 intersubmission variability was twice as high as the intrasubmission variability in both phantoms and human brains, indicating that the acquisition details in the original paper were insufficient to reproduce a quantitative MRI protocol. This study reports the inherent uncertainty in T1 measures across independent research groups, bringing us one step closer to a practical clinical baseline of T1 variations in vivo.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Imageamento por Ressonância Magnética / Imagens de Fantasmas / Crowdsourcing Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Imageamento por Ressonância Magnética / Imagens de Fantasmas / Crowdsourcing Idioma: En Ano de publicação: 2024 Tipo de documento: Article