Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
Karl D SpuhlerChuan Huang

Abstract

Attenuation correction is a notable challenge associated with simultaneous PET/MRI, particularly in neuroimaging, where sharp boundaries between air and bone volumes exist. This challenge leads to concerns about the visual and, more specifically, quantitative accuracy of PET reconstructions for data obtained with PET/MRI. Recently developed techniques can synthesize attenuation maps using only MRI data and are likely adequate for clinical use; however, little work has been conducted to assess their suitability for the dynamic PET studies frequently used in research to derive physiologic information such as the binding potential of neuroreceptors in a region. At the same time, existing PET/MRI attenuation correction methods are predicated on synthesizing CT data, which is not ideal, as CT data are acquired with much lower-energy photons than PET data and thus do not optimally reflect the PET attenuation map. Methods: We trained a convolutional neural network to generate patient-specific transmission data from T1-weighted MRI. Using the trained network, we generated transmission data for a testing set comprising 11 subjects scanned with 11C-labeled N-[2-]4-(2-methoxyphenyl)-1-piperazinyl]ethyl]-N-(2-pyridinyl)cyclohexanecarboxami...Continue Reading

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Citations

Oct 18, 2019·Physics in Medicine and Biology·Xue DongXiaofeng Yang
Jul 3, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Hossein ArabiHabib Zaidi
Aug 21, 2019·EJNMMI Research·Jorge CabelloSibylle I Ziegler
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Oct 28, 2020·European Journal of Nuclear Medicine and Molecular Imaging·Kuang GongQuanzheng Li
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Aug 30, 2020·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Tobias RydénPeter Bernhardt
Sep 27, 2020·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Katherine ZukotynskiSandra E Black
Apr 29, 2021·Physics in Medicine and Biology·Donghwi HwangJae Sung Lee
Aug 19, 2021·Medical Physics·Maria Francesca SpadeaJoao Seco

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