View in EDS

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform.

Saved in:
Bibliographic Details
Title: From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform.
Authors: Ning, Zihan1 (AUTHOR) zihan.1.ning@kcl.ac.uk, Brackenier, Yannick1 (AUTHOR), McElroy, Sarah1,2 (AUTHOR), Silva, Sara Neves1 (AUTHOR), Cordero‐Grande, Lucilio3 (AUTHOR), Rot, Samuel4 (AUTHOR), Canas, Liane S.1 (AUTHOR), Thornley, Rebecca E.1,5 (AUTHOR), Leitão, David1 (AUTHOR), Poccecai, Davide1 (AUTHOR), Cantell, Andrew1 (AUTHOR), Kerosi, Rene1 (AUTHOR), Price, Anthony N.1,5 (AUTHOR), Cleary, Jon1,5 (AUTHOR), Tournier, Donald J.1 (AUTHOR), Hutter, Jana1,5 (AUTHOR), Bridgen, Philippa5,6 (AUTHOR), Di Cio, Pierluigi5,6 (AUTHOR), Cleri, Michela5,6 (AUTHOR), Granlund, Inka5,6 (AUTHOR)
Source: Magnetic Resonance in Medicine. Jul2026, Vol. 96 Issue 1, p448-459. 12p.
Subjects: Imaging system software, Siemens AG, Signal processing, Open source software, Magnetic resonance imaging, Scheduling
Abstract: Purpose: To develop and validate a practical, open‐source framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) scan disruption from lengthy reconstructions, (2) limited support for multi‐scan input reconstructions, (3) needs to adapt scripts for different raw‐data formats, and (4) limited guidance and experience in retaining scanner reconstructions and applying scanner‐based post‐processing to custom‐reconstructed images. Methods: The framework builds upon the Gadgetron platform as implemented on Siemens scanners and includes: (1) a general input converter to convert Gadgetron‐used ISMRMRD format raw into a Siemens format raw structure, facilitating reuse of code; (2) an asynchronous trigger‐and‐retrieve mechanism enabling long custom reconstructions without delaying scanner processes; (3) resource‐aware scheduling for parallel execution of reconstructions; (4) integrated file management to support multi‐scan inputs; and (5) preservation of scanner‐based reconstructions and post‐processing. The framework was validated on 2 Siemens scanners for SENSE, AlignedSENSE, and NUFFT reconstructions, and in a large‐cohort study. Results: Minimum code modification for inline deployment was demonstrated, and all reconstructions were successfully executed inline without disrupting scanner workflows. Images were retrieved automatically via retrieval scans or manually via retro‐reconstruction, with scanner‐based post‐processing applied to custom outputs. Multi‐sequence reconstructions were executed using GPU‐aware scheduling, confirming feasibility for large‐scale applications. In 480 examinations, inline reconstructions were retrieved in 99% of cases without disruptions. Conclusion: The framework lowers the technical barrier to inline deployment of offline reconstructions, enabling robust, scalable, and post‐processing‐compatible integration. It is openly available with documentation and demonstration cases to support reproducibility and community adoption. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell 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
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 193626797
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ning%2C+Zihan%22">Ning, Zihan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zihan.1.ning@kcl.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Brackenier%2C+Yannick%22">Brackenier, Yannick</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McElroy%2C+Sarah%22">McElroy, Sarah</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Silva%2C+Sara+Neves%22">Silva, Sara Neves</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cordero‐Grande%2C+Lucilio%22">Cordero‐Grande, Lucilio</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rot%2C+Samuel%22">Rot, Samuel</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Canas%2C+Liane+S%2E%22">Canas, Liane S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thornley%2C+Rebecca+E%2E%22">Thornley, Rebecca E.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leitão%2C+David%22">Leitão, David</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Poccecai%2C+Davide%22">Poccecai, Davide</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cantell%2C+Andrew%22">Cantell, Andrew</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kerosi%2C+Rene%22">Kerosi, Rene</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Price%2C+Anthony+N%2E%22">Price, Anthony N.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cleary%2C+Jon%22">Cleary, Jon</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tournier%2C+Donald+J%2E%22">Tournier, Donald J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hutter%2C+Jana%22">Hutter, Jana</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bridgen%2C+Philippa%22">Bridgen, Philippa</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Di+Cio%2C+Pierluigi%22">Di Cio, Pierluigi</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cleri%2C+Michela%22">Cleri, Michela</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Granlund%2C+Inka%22">Granlund, Inka</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Jul2026, Vol. 96 Issue 1, p448-459. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Imaging+system+software%22">Imaging system software</searchLink><br /><searchLink fieldCode="DE" term="%22Siemens+AG%22">Siemens AG</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: To develop and validate a practical, open‐source framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) scan disruption from lengthy reconstructions, (2) limited support for multi‐scan input reconstructions, (3) needs to adapt scripts for different raw‐data formats, and (4) limited guidance and experience in retaining scanner reconstructions and applying scanner‐based post‐processing to custom‐reconstructed images. Methods: The framework builds upon the Gadgetron platform as implemented on Siemens scanners and includes: (1) a general input converter to convert Gadgetron‐used ISMRMRD format raw into a Siemens format raw structure, facilitating reuse of code; (2) an asynchronous trigger‐and‐retrieve mechanism enabling long custom reconstructions without delaying scanner processes; (3) resource‐aware scheduling for parallel execution of reconstructions; (4) integrated file management to support multi‐scan inputs; and (5) preservation of scanner‐based reconstructions and post‐processing. The framework was validated on 2 Siemens scanners for SENSE, AlignedSENSE, and NUFFT reconstructions, and in a large‐cohort study. Results: Minimum code modification for inline deployment was demonstrated, and all reconstructions were successfully executed inline without disrupting scanner workflows. Images were retrieved automatically via retrieval scans or manually via retro‐reconstruction, with scanner‐based post‐processing applied to custom outputs. Multi‐sequence reconstructions were executed using GPU‐aware scheduling, confirming feasibility for large‐scale applications. In 480 examinations, inline reconstructions were retrieved in 99% of cases without disruptions. Conclusion: The framework lowers the technical barrier to inline deployment of offline reconstructions, enabling robust, scalable, and post‐processing‐compatible integration. It is openly available with documentation and demonstration cases to support reproducibility and community adoption. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell 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=193626797
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/mrm.70304
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 448
    Subjects:
      – SubjectFull: Imaging system software
        Type: general
      – SubjectFull: Siemens AG
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Open source software
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Scheduling
        Type: general
    Titles:
      – TitleFull: From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ning, Zihan
      – PersonEntity:
          Name:
            NameFull: Brackenier, Yannick
      – PersonEntity:
          Name:
            NameFull: McElroy, Sarah
      – PersonEntity:
          Name:
            NameFull: Silva, Sara Neves
      – PersonEntity:
          Name:
            NameFull: Cordero‐Grande, Lucilio
      – PersonEntity:
          Name:
            NameFull: Rot, Samuel
      – PersonEntity:
          Name:
            NameFull: Canas, Liane S.
      – PersonEntity:
          Name:
            NameFull: Thornley, Rebecca E.
      – PersonEntity:
          Name:
            NameFull: Leitão, David
      – PersonEntity:
          Name:
            NameFull: Poccecai, Davide
      – PersonEntity:
          Name:
            NameFull: Cantell, Andrew
      – PersonEntity:
          Name:
            NameFull: Kerosi, Rene
      – PersonEntity:
          Name:
            NameFull: Price, Anthony N.
      – PersonEntity:
          Name:
            NameFull: Cleary, Jon
      – PersonEntity:
          Name:
            NameFull: Tournier, Donald J.
      – PersonEntity:
          Name:
            NameFull: Hutter, Jana
      – PersonEntity:
          Name:
            NameFull: Bridgen, Philippa
      – PersonEntity:
          Name:
            NameFull: Di Cio, Pierluigi
      – PersonEntity:
          Name:
            NameFull: Cleri, Michela
      – PersonEntity:
          Name:
            NameFull: Granlund, Inka
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 07403194
          Numbering:
            – Type: volume
              Value: 96
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Magnetic Resonance in Medicine
              Type: main
ResultId 1