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001     169904
005     20240229133659.0
024 7 _ |a 10.1098/rsta.2020.0190
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024 7 _ |a pmid:34218676
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024 7 _ |a 0080-4614
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024 7 _ |a 0264-3820
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024 7 _ |a 0264-3952
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024 7 _ |a 0962-8428
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024 7 _ |a 1364-503X
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024 7 _ |a 1471-2962
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024 7 _ |a 2053-9231
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024 7 _ |a 2053-9258
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024 7 _ |a 2054-0272
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024 7 _ |a 2054-0299
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037 _ _ |a DKFZ-2021-01634
041 _ _ |a English
082 _ _ |a 510
100 1 _ |a Peter, Jörg
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245 _ _ |a Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences.
260 _ _ |a London
|c 2021
|b Royal Society
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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500 _ _ |a #LA:E020#
520 _ _ |a A software-based workflow is proposed for managing the execution of simulation and image reconstruction for SPECT, PET, CBCT, MRI, BLI and FMI packages in single and multimodal biomedical imaging applications. The workflow is composed of a Bash script, the purpose of which is to provide an interface to the user, and to organize data flow between dedicated programs for simulation and reconstruction. The currently incorporated simulation programs comprise GATE for Monte Carlo simulation of SPECT, PET and CBCT, SpinScenario for simulating MRI, and Lipros for Monte Carlo simulation of BLI and FMI. Currently incorporated image reconstruction programs include CASToR for SPECT and PET as well as RTK for CBCT. MetaImage (mhd) standard is used for voxelized phantom and image data format. Meshlab project (mlp) containers incorporating polygon meshes and point clouds defined by the Stanford triangle format (ply) are employed to represent anatomical structures for optical simulation, and to represent tumour cell inserts. A number of auxiliary programs have been developed for data transformation and adaptive parameter assignment. The software workflow uses fully automatic distribution to, and consolidation from, any number of Linux workstations and CPU cores. Example data are presented for clinical SPECT, PET and MRI systems using the Mida head phantom and for preclinical X-ray, PET and BLI systems employing the Digimouse phantom. The presented method unifies and simplifies multimodal simulation setup and image reconstruction management and might be of value for synergistic image research. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.
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650 _ 7 |a CT
|2 Other
650 _ 7 |a MRI
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650 _ 7 |a Monte Carlo simulation
|2 Other
650 _ 7 |a PET
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650 _ 7 |a SPECT
|2 Other
650 _ 7 |a image reconstruction
|2 Other
650 _ 7 |a optical imaging
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650 _ 7 |a phantoms
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773 _ _ |a 10.1098/rsta.2020.0190
|g Vol. 379, no. 2204, p. 20200190 -
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|t Philosophical transactions of the Royal Society of London / A
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910 1 _ |a Deutsches Krebsforschungszentrum
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