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Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI.
Liu, Qiang; Ning, Lipeng; Shaik, Imam Ahmed; Liao, Congyu; Gagoski, Borjan; Bilgic, Berkin; Grissom, William; Nielsen, Jon-Fredrik; Zaitsev, Maxim; Rathi, Yogesh.
Afiliación
  • Liu Q; Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Ning L; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Shaik IA; Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Liao C; Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Gagoski B; Department of Radiology, Stanford University, Stanford, California, USA.
  • Bilgic B; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
  • Grissom W; Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Nielsen JF; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
  • Zaitsev M; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Rathi Y; Harvard/MIT Health Sciences and Technology, Cambridge, Massachusetts, USA.
Magn Reson Med ; 92(1): 246-256, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38469671
ABSTRACT

PURPOSE:

To reduce the inter-scanner variability of diffusion MRI (dMRI) measures between scanners from different vendors by developing a vendor-neutral dMRI pulse sequence using the open-source vendor-agnostic Pulseq platform.

METHODS:

We implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two clinical scanners from different vendors (Siemens Prisma and GE Premier), systematically evaluating and comparing the within- and inter-scanner variability across the vendors, using both the vendor-provided and Pulseq dMRI sequences. Assessments covered both a diffusion phantom and three human subjects, using standard error (SE) and Lin's concordance correlation to measure the repeatability and reproducibility of standard DTI metrics including fractional anisotropy (FA) and mean diffusivity (MD).

RESULTS:

Identical dMRI sequences were executed on both scanners using Pulseq. On the phantom, the Pulseq sequence showed more than a 2.5× reduction in SE (variability) across Siemens and GE scanners. Furthermore, Pulseq sequences exhibited markedly reduced SE in-vivo, maintaining scan-rescan repeatability while delivering lower variability in FA and MD (more than 50% reduction in cortical/subcortical regions) compared to vendor-provided sequences.

CONCLUSION:

The Pulseq diffusion sequence reduces the cross-scanner variability for both phantom and in-vivo data, which will benefit multi-center neuroimaging studies and improve the reproducibility of neuroimaging studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Fantasmas de Imagen / Imagen de Difusión por Resonancia Magnética Límite: Adult / Female / Humans / Male Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Fantasmas de Imagen / Imagen de Difusión por Resonancia Magnética Límite: Adult / Female / Humans / Male Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos