PURPOSE: The aim of this study was to test and demonstrate the feasibility of diffusion tensor imaging (DTI) with a hybrid positron emission tomography (PET)/magnetic resonance imaging system for simultaneous PET and magnetic resonance (MR) data acquisition. MATERIALS AND METHODS: All measurements were performed with a prototype hybrid PET/MR scanner dedicated for brain and head imaging. The PET scanner, which is inserted into a conventional 3.0-Tesla high field MR imager equipped with a transmit/receive birdcage head coil, consists of 192 block detectors with a matrix of 12 x 12 lutetium oxyorthosilicate scintillation crystals combined with MR-compatible 3 x 3 avalanche photodiode arrays. In 7 volunteers and 4 patients with brain tumors, DTI was performed during simultaneous PET data readout applying a diffusion weighted echo planar sequence (12 noncollinear directions, echo time (TE)/repetition time (TR) 98 ms/5300 ms, b-value 800 s/mm). Image quality and accuracy of DTI were assessed in comparison with DTI images acquired after removal of the PET insert. RESULTS: The diffusion images showed good image quality in all volunteers regardless of simultaneous PET data readout or after removal of the PET scanner; however, significantly (P < 0.01) stronger rim artifacts were found in fractional anisotropy images computed from DTI images recorded during simultaneous PET acquisition, demonstrating higher eddy-current effects. In region of interest analysis, no notable differences were found in the computation of the direction of the principal eigenvector (P > 0.05) and fractional anisotropy values (P > 0.05). In the assessment of pathologies, in all 4 patients PET and DTI provided important clinical information in addition to conventional magnetic resonance imaging. CONCLUSION: Diffusion tensor imaging may be combined with simultaneous PET data acquisition, offering additional important morphologic and functional information for treatment planning in patients with brain tumors.
PURPOSE: The aim of this study was to test and demonstrate the feasibility of diffusion tensor imaging (DTI) with a hybrid positron emission tomography (PET)/magnetic resonance imaging system for simultaneous PET and magnetic resonance (MR) data acquisition. MATERIALS AND METHODS: All measurements were performed with a prototype hybrid PET/MR scanner dedicated for brain and head imaging. The PET scanner, which is inserted into a conventional 3.0-Tesla high field MR imager equipped with a transmit/receive birdcage head coil, consists of 192 block detectors with a matrix of 12 x 12 lutetium oxyorthosilicate scintillation crystals combined with MR-compatible 3 x 3 avalanche photodiode arrays. In 7 volunteers and 4 patients with brain tumors, DTI was performed during simultaneous PET data readout applying a diffusion weighted echo planar sequence (12 noncollinear directions, echo time (TE)/repetition time (TR) 98 ms/5300 ms, b-value 800 s/mm). Image quality and accuracy of DTI were assessed in comparison with DTI images acquired after removal of the PET insert. RESULTS: The diffusion images showed good image quality in all volunteers regardless of simultaneous PET data readout or after removal of the PET scanner; however, significantly (P < 0.01) stronger rim artifacts were found in fractional anisotropy images computed from DTI images recorded during simultaneous PET acquisition, demonstrating higher eddy-current effects. In region of interest analysis, no notable differences were found in the computation of the direction of the principal eigenvector (P > 0.05) and fractional anisotropy values (P > 0.05). In the assessment of pathologies, in all 4 patients PET and DTI provided important clinical information in addition to conventional magnetic resonance imaging. CONCLUSION: Diffusion tensor imaging may be combined with simultaneous PET data acquisition, offering additional important morphologic and functional information for treatment planning in patients with brain tumors.
Authors: Irene Neuner; Joachim B Kaffanke; Karl-Josef Langen; Elena Rota Kops; Lutz Tellmann; Gabriele Stoffels; Christoph Weirich; Christian Filss; Jürgen Scheins; Hans Herzog; N Jon Shah Journal: Eur Radiol Date: 2012-07-11 Impact factor: 5.315
Authors: Armin Kolb; Hans F Wehrl; Matthias Hofmann; Martin S Judenhofer; Lars Eriksson; Ralf Ladebeck; Matthias P Lichy; Larry Byars; Christian Michel; Heinz-Peter Schlemmer; Matthias Schmand; Claus D Claussen; Vesna Sossi; Bernd J Pichler Journal: Eur Radiol Date: 2012-03-27 Impact factor: 5.315
Authors: Andreas Hahn; Gregor Gryglewski; Lukas Nics; Lucas Rischka; Sebastian Ganger; Helen Sigurdardottir; Chrysoula Vraka; Leo Silberbauer; Thomas Vanicek; Alexander Kautzky; Wolfgang Wadsak; Markus Mitterhauser; Markus Hartenbach; Marcus Hacker; Siegfried Kasper; Rupert Lanzenberger Journal: Brain Struct Funct Date: 2017-11-13 Impact factor: 3.748
Authors: Tyler J Fraum; Kathryn J Fowler; John P Crandall; Richard A Laforest; Amber Salter; Hongyu An; Michael A Jacobs; Perry W Grigsby; Farrokh Dehdashti; Richard L Wahl Journal: J Nucl Med Date: 2019-02-07 Impact factor: 10.057