Universität zu Köln

Ma, Bo, Gaens, Michaela, Caldeira, Liliana, Bert, Julian, Lohmann, Philipp ORCID: 0000-0002-5360-046X, Tellmann, Lutz ORCID: 0000-0002-1154-2847, Lerche, Christoph, Scheins, Jurgen, Kops, Elena Rota, Xu, Hancong, Lenz, Mirjam ORCID: 0000-0002-1630-4012, Pietrzyk, Uwe and Shah, Nadim Jon (2020). Scatter Correction Based on GPU-Accelerated Full Monte Carlo Simulation for Brain PET/MRI. IEEE Trans. Med. Imaging, 39 (1). S. 140 - 152. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ISSN 1558-254X

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Abstract

Accurate scatter correction is essential for qualitative and quantitative PET imaging. Until now, scatter correction based on Monte Carlo simulation (MCS) has been recognized as the most accurate method of scatter correction for PET. However, the major disadvantage of MCS is its long computational time, which makes it unfeasible for clinical usage. Meanwhile, single scatter simulation (SSS) is the most widely used method for scatter correction. Nevertheless, SSS has the disadvantage of limited robustness for dynamic measurements and for the measurement of large objects. In this work, a newly developed implementation of MCS using graphics processing unit (GPU) acceleration is employed, allowing full MCS-based scatter correction in clinical 3D brain PET imaging. Starting from the generation of annihilation photons to their detection in the simulated PET scanner, all relevant physical interactions and transport phenomena of the photons were simulated on GPUs. This resulted in an expected distribution of scattered events, which was subsequently used to correct the measured emission data. The accuracy of the approach was validated with simulations using GATE (Geant4 Application for Tomography Emission), and its performance was compared to SSS. The comparison of the computation time between a GPU and a single-threaded CPU showed an acceleration factor of 776 for a voxelized brain phantom study. The speedup of the MCS implemented on the GPU represents a major step toward the application of the more accurate MCS-based scatter correction for PET imaging in clinical routine.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ma, Bo UNSPECIFIED UNSPECIFIED UNSPECIFIED Gaens, Michaela UNSPECIFIED UNSPECIFIED UNSPECIFIED Caldeira, Liliana UNSPECIFIED UNSPECIFIED UNSPECIFIED Bert, Julian UNSPECIFIED UNSPECIFIED UNSPECIFIED Lohmann, Philipp UNSPECIFIED orcid.org/0000-0002-5360-046X UNSPECIFIED Tellmann, Lutz UNSPECIFIED orcid.org/0000-0002-1154-2847 UNSPECIFIED Lerche, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Scheins, Jurgen UNSPECIFIED UNSPECIFIED UNSPECIFIED Kops, Elena Rota UNSPECIFIED UNSPECIFIED UNSPECIFIED Xu, Hancong UNSPECIFIED UNSPECIFIED UNSPECIFIED Lenz, Mirjam UNSPECIFIED orcid.org/0000-0002-1630-4012 UNSPECIFIED Pietrzyk, Uwe UNSPECIFIED UNSPECIFIED UNSPECIFIED Shah, Nadim Jon UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-352236
DOI:	10.1109/TMI.2019.2921872
Journal or Publication Title:	IEEE Trans. Med. Imaging
Volume:	39
Number:	1
Page Range:	S. 140 - 152
Date:	2020
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place of Publication:	PISCATAWAY
ISSN:	1558-254X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PHOTON TRANSPORT; DOSE CALCULATION; 3D PET; IMPLEMENTATION Multiple languages Computer Science, Interdisciplinary Applications; Engineering, Biomedical; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/35223