View in EDS HTML Full Text PDF Full Text

Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI.

Saved in:
Bibliographic Details
Title: Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI.
Authors: Diaz, Ernesto1, Sriram, Renuka1, Gordon, Jeremy W.1, Sinha, Avantika1, Liu, Xiaoxi1, Sahin, Sule I.1,2, Crane, Jason C.1, Olson, Marram P.1, Chen, Hsin-Yu1, Bernard, Jenna M. L.1, Vigneron, Daniel B.1,2, Wang, Zhen Jane1, Xu, Duan1,2, Larson, Peder E. Z.1,2 peder.larson@ucsf.edu
Source: Journal of Digital Imaging. Oct2024, Vol. 37 Issue 5, p2627-2634. 8p.
Subjects: Database management standards, Stretch (Physiology), Digital diagnostic imaging, Magnetic resonance imaging, Metabolites, Dicom (Computer network protocol), Information retrieval, Metadata, Digital image processing
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Digital Imaging is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 181515406
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Data Format Standardization and DICOM Integration for Hyperpolarized <superscript>13</superscript>C MRI.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Diaz%2C+Ernesto%22">Diaz, Ernesto</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sriram%2C+Renuka%22">Sriram, Renuka</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gordon%2C+Jeremy+W%2E%22">Gordon, Jeremy W.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sinha%2C+Avantika%22">Sinha, Avantika</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Liu%2C+Xiaoxi%22">Liu, Xiaoxi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sahin%2C+Sule+I%2E%22">Sahin, Sule I.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Crane%2C+Jason+C%2E%22">Crane, Jason C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Olson%2C+Marram+P%2E%22">Olson, Marram P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Hsin-Yu%22">Chen, Hsin-Yu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bernard%2C+Jenna+M%2E+L%2E%22">Bernard, Jenna M. L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vigneron%2C+Daniel+B%2E%22">Vigneron, Daniel B.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhen+Jane%22">Wang, Zhen Jane</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xu%2C+Duan%22">Xu, Duan</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Larson%2C+Peder+E%2E+Z%2E%22">Larson, Peder E. Z.</searchLink><relatesTo>1,2</relatesTo><i> peder.larson@ucsf.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>. Oct2024, Vol. 37 Issue 5, p2627-2634. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Database+management+standards%22">Database management standards</searchLink><br /><searchLink fieldCode="DE" term="%22Stretch+%28Physiology%29%22">Stretch (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+diagnostic+imaging%22">Digital diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolites%22">Metabolites</searchLink><br /><searchLink fieldCode="DE" term="%22Dicom+%28Computer+network+protocol%29%22">Dicom (Computer network protocol)</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Metadata%22">Metadata</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Digital Imaging is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=181515406
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10278-024-01100-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 2627
    Subjects:
      – SubjectFull: Database management standards
        Type: general
      – SubjectFull: Stretch (Physiology)
        Type: general
      – SubjectFull: Digital diagnostic imaging
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Metabolites
        Type: general
      – SubjectFull: Dicom (Computer network protocol)
        Type: general
      – SubjectFull: Information retrieval
        Type: general
      – SubjectFull: Metadata
        Type: general
      – SubjectFull: Digital image processing
        Type: general
    Titles:
      – TitleFull: Data Format Standardization and DICOM Integration for Hyperpolarized 13C MRI.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Diaz, Ernesto
      – PersonEntity:
          Name:
            NameFull: Sriram, Renuka
      – PersonEntity:
          Name:
            NameFull: Gordon, Jeremy W.
      – PersonEntity:
          Name:
            NameFull: Sinha, Avantika
      – PersonEntity:
          Name:
            NameFull: Liu, Xiaoxi
      – PersonEntity:
          Name:
            NameFull: Sahin, Sule I.
      – PersonEntity:
          Name:
            NameFull: Crane, Jason C.
      – PersonEntity:
          Name:
            NameFull: Olson, Marram P.
      – PersonEntity:
          Name:
            NameFull: Chen, Hsin-Yu
      – PersonEntity:
          Name:
            NameFull: Bernard, Jenna M. L.
      – PersonEntity:
          Name:
            NameFull: Vigneron, Daniel B.
      – PersonEntity:
          Name:
            NameFull: Wang, Zhen Jane
      – PersonEntity:
          Name:
            NameFull: Xu, Duan
      – PersonEntity:
          Name:
            NameFull: Larson, Peder E. Z.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 08971889
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of Digital Imaging
              Type: main
ResultId 1