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Inversion group (IG) fitting: A new T1 mapping method for modified look-locker inversion recovery (MOLLI) that allows arbitrary inversion groupings and rest periods (including no rest period).
Sussman, Marshall S; Yang, Issac Y; Fok, Kai-Ho; Wintersperger, Bernd J.
Affiliation
  • Sussman MS; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • Yang IY; Department of Medical Imaging, University of Toronto, Toronto, Ontario.
  • Fok KH; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • Wintersperger BJ; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Magn Reson Med ; 75(6): 2332-40, 2016 06.
Article in En | MEDLINE | ID: mdl-26122489
PURPOSE: The Modified Look-Locker Inversion Recovery (MOLLI) technique is used for T1 mapping in the heart. However, a drawback of this technique is that it requires lengthy rest periods in between inversion groupings to allow for complete magnetization recovery. In this work, a new MOLLI fitting algorithm (inversion group [IG] fitting) is presented that allows for arbitrary combinations of inversion groupings and rest periods (including no rest period). THEORY AND METHODS: Conventional MOLLI algorithms use a three parameter fitting model. In IG fitting, the number of parameters is two plus the number of inversion groupings. This increased number of parameters permits any inversion grouping/rest period combination. Validation was performed through simulation, phantom, and in vivo experiments. RESULTS: IG fitting provided T1 values with less than 1% discrepancy across a range of inversion grouping/rest period combinations. By comparison, conventional three parameter fits exhibited up to 30% discrepancy for some combinations. The one drawback with IG fitting was a loss of precision-approximately 30% worse than the three parameter fits. CONCLUSION: IG fitting permits arbitrary inversion grouping/rest period combinations (including no rest period). The cost of the algorithm is a loss of precision relative to conventional three parameter fits. Magn Reson Med 75:2332-2340, 2016. © 2015 Wiley Periodicals, Inc.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Magnetic Resonance Imaging / Cardiac Imaging Techniques Type of study: Prognostic_studies Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2016 Document type: Article Affiliation country: Canada Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Magnetic Resonance Imaging / Cardiac Imaging Techniques Type of study: Prognostic_studies Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2016 Document type: Article Affiliation country: Canada Country of publication: United States