Fast List-Mode Reconstruction for Time-of-Flight PET Using Graphics Hardware

Positron emission tomography (PET) measurements with time-of-flight (TOF) information are often very sparse. As a result, direct reconstruction from raw list-mode data is an attractive strategy for dealing with the large dimension spanned by the measurements. However, even though sparse datasets are...

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Bibliographic Details
Published in:	IEEE transactions on nuclear science 2011-02, Vol.58 (1), p.105-109
Main Authors:	Pratx, G, Surti, S, Levin, C
Format:	Article
Language:	eng
Subjects:	Acceleration Computational efficiency Dealing Graphics processing unit Graphics processing units Hardware high performance computing Image quality Image reconstruction Kernel Noise Polyethylene terephthalates Positron emission tomography Projection Reconstruction reconstruction algorithms Strategy time-of-flight Tomography
Online Access:	Get full text
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Summary:	Positron emission tomography (PET) measurements with time-of-flight (TOF) information are often very sparse. As a result, direct reconstruction from raw list-mode data is an attractive strategy for dealing with the large dimension spanned by the measurements. However, even though sparse datasets are more efficiently processed in list mode than as sinograms, list-mode reconstruction remains computationally demanding and computer clusters are typically required for reconstructing clinical PET scans with TOF information. In this work, we demonstrate that off-the-shelf graphics processing units can be used as an alternative approach to accelerate line projections with TOF kernels.
ISSN:	0018-9499 1558-1578