Journal Article FZJ-2019-02018

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From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies

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2018
Wiley-Liss New York, NY

Human brain mapping 39(12), 5126 - 5144 () [10.1002/hbm.24314]

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Abstract: Simultaneous Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scanning is a recent major development in biomedical imaging. The full integration of the PET detector ring and electronics within the MR system has been a technologically challenging design to develop but provides capacity for simultaneous imaging and the potential for new diagnostic and research capability. This article reviews state‐of‐the‐art MR‐PET hardware and software, and discusses future developments focusing on neuroimaging methodologies for MR‐PET scanning. We particularly focus on the methodologies that lead to an improved synergy between MRI and PET, including optimal data acquisition, PET attenuation and motion correction, and joint image reconstruction and processing methods based on the underlying complementary and mutual information. We further review the current and potential future applications of simultaneous MR‐PET in both systems neuroscience and clinical neuroimaging research. We demonstrate a simultaneous data acquisition protocol to highlight new applications of MR‐PET neuroimaging research studies.

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Contributing Institute(s):
  1. Physik der Medizinischen Bildgebung (INM-4)
  2. Jara-Institut Quantum Information (INM-11)
  3. JARA-BRAIN (JARA-BRAIN)
Research Program(s):
  1. 573 - Neuroimaging (POF3-573) (POF3-573)

Appears in the scientific report 2019
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Medline ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
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Document types > Articles > Journal Article
JARA > JARA > JARA-JARA\-BRAIN
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Institute Collections > INM > INM-4
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 Record created 2019-03-21, last modified 2021-01-30


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