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Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI.
Diaz, Ernesto; Sriram, Renuka; Gordon, Jeremy W; Sinha, Avantika; Liu, Xiaoxi; Sahin, Sule; Crane, Jason; Olson, Marram P; Chen, Hsin-Yu; Bernard, Jenna; Vigneron, Daniel B; Wang, Zhen Jane; Xu, Duan; Larson, Peder E Z.
Afiliación
  • Diaz E; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Sriram R; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Gordon JW; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Sinha A; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Liu X; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Sahin S; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Crane J; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Olson MP; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Chen HY; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Bernard J; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Vigneron DB; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Wang ZJ; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California, USA.
  • Xu D; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
  • Larson PEZ; Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
ArXiv ; 2024 May 06.
Article en En | MEDLINE | ID: mdl-38764595
ABSTRACT
Hyperpolarized (HP) 13C MRI has shown promise as a valuable modality for in vivo measurements of metabolism and is currently in human trials at 15 research sites worldwide. With this growth it is important to adopt standardized data storage practices as it will allow sites to meaningfully compare data. In this paper we (1) describe data that we believe should be stored and (2) demonstrate pipelines and methods that utilize the Digital Imaging and Communications in Medicine (DICOM) standard. This includes proposing a set of minimum set of information that is specific to HP 13C MRI studies. We then show where the majority of these can be fit into existing DICOM Attributes, primarily via the "Contrast/Bolus" module. We also demonstrate pipelines for utilizing DICOM for HP 13C MRI. DICOM is the most common standard for clinical medical image storage and provides the flexibility to accommodate the unique aspects of HP 13C MRI, including the HP agent information but also spectroscopic and metabolite dimensions. The pipelines shown include creating DICOM objects for studies on human and animal imaging systems with various pulse sequences. We also show a python-based method to efficiently modify DICOM objects to incorporate the unique HP 13C MRI information that is not captured by existing pipelines. Moreover, we propose best practices for HP 13C MRI data storage that will support future multi-site trials, research studies and technical developments of this imaging technique.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos