PURPOSE: To investigate multi-resolution hyperpolarized (HP) 13 C pyruvate MRI for measuring kinetic conversion rates in the human brain. METHODS: HP [1-13 C]pyruvate MRI was acquired in 6 subjects with a multi-resolution EPI sequence at 7.5 × 7.5 mm2 resolution for pyruvate and 15 × 15 mm2 resolution for lactate and bicarbonate. With the same lactate data, 2 quantitative maps of pyruvate-to-lactate conversion (kPL ) maps were generated: 1 using 7.5 × 7.5 mm2 resolution pyruvate data and the other using synthetic 15 × 15 mm2 resolution pyruvate data to simulate a standard constant resolution acquisition. To examine local kPL values, 4 voxels were manually selected in each study representing brain tissue near arteries, brain tissue near veins, white matter, and gray matter. RESULTS: High resolution 7.5 × 7.5 mm2 pyruvate images increased the spatial delineation of brain structures and decreased partial volume effects compared to coarser resolution 15 × 15 mm2 pyruvate images. Voxels near arteries, veins and in white matter exhibited higher calculated kPL for multi-resolution images. CONCLUSION: Acquiring HP 13 C pyruvate metabolic data with a multi-resolution approach minimized partial volume effects from vascular pyruvate signals while maintaining the SNR of downstream metabolites. Higher resolution pyruvate images for kinetic fitting resulted in increased kinetic rate values, particularly around the superior sagittal sinus and cerebral arteries, by reducing extracellular pyruvate signal contributions from adjacent blood vessels. This HP 13 C study showed that acquiring pyruvate with finer resolution improved the quantification of kinetic rates throughout the human brain.
PURPOSE: To investigate multi-resolution hyperpolarized (HP) 13 C pyruvate MRI for measuring kinetic conversion rates in the human brain. METHODS: HP [1-13 C]pyruvate MRI was acquired in 6 subjects with a multi-resolution EPI sequence at 7.5 × 7.5 mm2 resolution for pyruvate and 15 × 15 mm2 resolution for lactate and bicarbonate. With the same lactate data, 2 quantitative maps of pyruvate-to-lactate conversion (kPL ) maps were generated: 1 using 7.5 × 7.5 mm2 resolution pyruvate data and the other using synthetic 15 × 15 mm2 resolution pyruvate data to simulate a standard constant resolution acquisition. To examine local kPL values, 4 voxels were manually selected in each study representing brain tissue near arteries, brain tissue near veins, white matter, and gray matter. RESULTS: High resolution 7.5 × 7.5 mm2 pyruvate images increased the spatial delineation of brain structures and decreased partial volume effects compared to coarser resolution 15 × 15 mm2 pyruvate images. Voxels near arteries, veins and in white matter exhibited higher calculated kPL for multi-resolution images. CONCLUSION: Acquiring HP 13 C pyruvate metabolic data with a multi-resolution approach minimized partial volume effects from vascular pyruvate signals while maintaining the SNR of downstream metabolites. Higher resolution pyruvate images for kinetic fitting resulted in increased kinetic rate values, particularly around the superior sagittal sinus and cerebral arteries, by reducing extracellular pyruvate signal contributions from adjacent blood vessels. This HP 13 C study showed that acquiring pyruvate with finer resolution improved the quantification of kinetic rates throughout the human brain.
Authors: Zihan Zhu; Xucheng Zhu; Michael A Ohliger; Shuyu Tang; Peng Cao; Lucas Carvajal; Adam W Autry; Yan Li; John Kurhanewicz; Susan Chang; Rahul Aggarwal; Pamela Munster; Duan Xu; Peder E Z Larson; Daniel B Vigneron; Jeremy W Gordon Journal: J Magn Reson Date: 2019-02-01 Impact factor: 2.229
Authors: Hsin-Yu Chen; Adam W Autry; Jeffrey R Brender; Shun Kishimoto; Murali C Krishna; Maryam Vareth; Robert A Bok; Galen D Reed; Lucas Carvajal; Jeremy W Gordon; Mark van Criekinge; David E Korenchan; Albert P Chen; Duan Xu; Yan Li; Susan M Chang; John Kurhanewicz; Peder E Z Larson; Daniel B Vigneron Journal: Magn Reson Med Date: 2020-06-05 Impact factor: 4.668
Authors: Daniele Mammoli; Jeremy Gordon; Adam Autry; Peder E Z Larson; Yan Li; Hsin-Yu Chen; Brian Chung; Peter Shin; Mark Van Criekinge; Lucas Carvajal; James B Slater; Robert Bok; Jason Crane; Duan Xu; Susan Chang; Daniel B Vigneron Journal: IEEE Trans Med Imaging Date: 2019-07-02 Impact factor: 10.048
Authors: Ilwoo Park; Peder E Z Larson; Jeremy W Gordon; Lucas Carvajal; Hsin-Yu Chen; Robert Bok; Mark Van Criekinge; Marcus Ferrone; James B Slater; Duan Xu; John Kurhanewicz; Daniel B Vigneron; Susan Chang; Sarah J Nelson Journal: Magn Reson Med Date: 2018-01-10 Impact factor: 4.668
Authors: Sarah J Nelson; John Kurhanewicz; Daniel B Vigneron; Peder E Z Larson; Andrea L Harzstark; Marcus Ferrone; Mark van Criekinge; Jose W Chang; Robert Bok; Ilwoo Park; Galen Reed; Lucas Carvajal; Eric J Small; Pamela Munster; Vivian K Weinberg; Jan Henrik Ardenkjaer-Larsen; Albert P Chen; Ralph E Hurd; Liv-Ingrid Odegardstuen; Fraser J Robb; James Tropp; Jonathan A Murray Journal: Sci Transl Med Date: 2013-08-14 Impact factor: 17.956
Authors: James T Grist; Mary A McLean; Frank Riemer; Rolf F Schulte; Surrin S Deen; Fulvio Zaccagna; Ramona Woitek; Charlie J Daniels; Joshua D Kaggie; Tomasz Matys; Ilse Patterson; Rhys Slough; Andrew B Gill; Anita Chhabra; Rose Eichenberger; Marie-Christine Laurent; Arnaud Comment; Jonathan H Gillard; Alasdair J Coles; Damian J Tyler; Ian Wilkinson; Bristi Basu; David J Lomas; Martin J Graves; Kevin M Brindle; Ferdia A Gallagher Journal: Neuroimage Date: 2019-01-11 Impact factor: 6.556
Authors: Maxine Tran; Arash Latifoltojar; Joana B Neves; Marianthi-Vasiliki Papoutsaki; Fiona Gong; Arnaud Comment; Ana S H Costa; Matthias Glaser; My-Anh Tran-Dang; Soha El Sheikh; Wivijin Piga; Alan Bainbridge; Anna Barnes; Tim Young; Hassan Jeraj; Ramla Awais; Sola Adeleke; Christopher Holt; James O'Callaghan; Frazer Twyman; David Atkinson; Christian Frezza; Erik Årstad; David Gadian; Mark Emberton; Shonit Punwani Journal: BJR Case Rep Date: 2019-03-05