Literature DB >> 23317760

Advances in multimodal neuroimaging: hybrid MR-PET and MR-PET-EEG at 3 T and 9.4 T.

N Jon Shah1, Ana-Maria Oros-Peusquens, Jorge Arrubla, Ke Zhang, Tracy Warbrick, Jörg Mauler, Kaveh Vahedipour, Sandro Romanzetti, Jörg Felder, Avdo Celik, Elena Rota-Kops, Hidehiro Iida, Karl-Josef Langen, Hans Herzog, Irene Neuner.   

Abstract

Multi-modal MR-PET-EEG data acquisition in simultaneous mode confers a number of advantages at 3 T and 9.4 T. The three modalities complement each other well; structural-functional imaging being the domain of MRI, molecular imaging with specific tracers is the strength of PET, and EEG provides a temporal dimension where the other two modalities are weak. The utility of hybrid MR-PET at 3 T in a clinical setting is presented and critically discussed. The potential problems and the putative gains to be accrued from hybrid imaging at 9.4 T, with examples from the human brain, are outlined. Steps on the road to 9.4 T multi-modal MR-PET-EEG are also illustrated. From an MR perspective, the potential for ultra-high resolution structural imaging is discussed and example images of the cerebellum with an isotropic resolution of 320 μm are presented, setting the stage for hybrid imaging at ultra-high field. Further, metabolic imaging is discussed and high-resolution images of the sodium distribution are presented. Examples of tumour imaging on a 3 T MR-PET system are presented and discussed. Finally, the perspectives for multi-modal imaging are discussed based on two on-going studies, the first comparing MR and PET methods for the measurement of perfusion and the second which looks at tumour delineation based on MRI contrasts but the knowledge of tumour extent is based on simultaneously acquired PET data.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23317760     DOI: 10.1016/j.jmr.2012.11.027

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  19 in total

1.  Multimodal Imaging in Malignant Brain Tumors: Enhancing the Preoperative Risk Evaluation for Motor Deficits with a Combined Hybrid MRI-PET and Navigated Transcranial Magnetic Stimulation Approach.

Authors:  V Neuschmelting; C Weiss Lucas; G Stoffels; A-M Oros-Peusquens; H Lockau; N J Shah; K-J Langen; R Goldbrunner; C Grefkes
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-29       Impact factor: 3.825

Review 2.  [Simultaneous EEG-fMRI measurements: insights in applications and challenges].

Authors:  B Reese; U Habel; I Neuner
Journal:  Nervenarzt       Date:  2014-06       Impact factor: 1.214

Review 3.  Advances in PET/MR instrumentation and image reconstruction.

Authors:  Jorge Cabello; Sibylle I Ziegler
Journal:  Br J Radiol       Date:  2016-07-22       Impact factor: 3.039

4.  The use of O-(2-18F-fluoroethyl)-L-tyrosine PET in the diagnosis of gliomas located in the brainstem and spinal cord.

Authors:  Caroline Tscherpel; Veronika Dunkl; Garry Ceccon; Gabriele Stoffels; Natalie Judov; Marion Rapp; Philipp T Meyer; Elena Rota Kops; Johannes Ermert; Gereon R Fink; Nadim J Shah; Karl-Josef Langen; Norbert Galldiks
Journal:  Neuro Oncol       Date:  2017-05-01       Impact factor: 12.300

5.  Comparison of [18F]Fluoroethyltyrosine PET and Sodium MRI in Cerebral Gliomas: a Pilot Study.

Authors:  Aliaksandra Shymanskaya; Wieland A Worthoff; Gabriele Stoffels; Johannes Lindemeyer; Bernd Neumaier; Philipp Lohmann; Norbert Galldiks; Karl-Josef Langen; N Jon Shah
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

6.  Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox.

Authors:  Andre Santos Ribeiro; Luis Miguel Lacerda; Hugo Alexandre Ferreira
Journal:  PeerJ       Date:  2015-07-14       Impact factor: 2.984

7.  Performance Characteristics of a Dual-Sided Position-Sensitive Sparse-Sensor Detector for Gamma-ray Imaging.

Authors:  William C J Hunter; Donald Q DeWitt; Robert S Miyaoka
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2021-06-07

Review 8.  Magnetic Resonance Imaging technology-bridging the gap between noninvasive human imaging and optical microscopy.

Authors:  Jonathan R Polimeni; Lawrence L Wald
Journal:  Curr Opin Neurobiol       Date:  2018-05-11       Impact factor: 6.627

9.  Potential influence of Gadolinium contrast on image segmentation in MR-based attenuation correction with Dixon sequences in whole-body 18F-FDG PET/MR.

Authors:  Verena Ruhlmann; Philipp Heusch; Hilmar Kühl; Karsten Beiderwellen; Gerald Antoch; Michael Forsting; Andreas Bockisch; Christian Buchbender; Harald H Quick
Journal:  MAGMA       Date:  2015-12-14       Impact factor: 2.310

10.  Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.

Authors:  Ravichandran Rajkumar; Ezequiel Farrher; Jörg Mauler; Praveen Sripad; Cláudia Régio Brambilla; Elena Rota Kops; Jürgen Scheins; Jürgen Dammers; Christoph Lerche; Karl-Josef Langen; Hans Herzog; Bharat Biswal; N Jon Shah; Irene Neuner
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

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