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Towards quantitative image reconstruction using Monte-Carlo simulations in multi-wire proportional chamber-based small animal PET

The quadHIDAC is a dedicated high resolution small animal PET scanner based on multi-wire proportional chamber detectors. It provides very high spatial resolution, good sensitivity, and a large field-of-view allowing the examination of more than one animal in a single scan or a whole body scan of la...

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Main Authors: Gottschlag, Holger (Author) , Kösters, Thomas (Author) , Vernekohl, Don (Author) , Reygers, Klaus (Author) , Schäfers, Klaus Peter (Author) , Wübbeling, Frank (Author) , Wessels, Johannes P. (Author)
Format: Article (Journal)
Language:English
Published: 09 September 2013
In: IEEE transactions on nuclear science
Year: 2013, Volume: 60, Issue: 5, Pages: 3343-3354
ISSN:1558-1578
DOI:https://doi.org/10.1109/TNS.2013.2274703
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/https://doi.org/10.1109/TNS.2013.2274703
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Author Notes:Holger Gottschlag, Thomas Kösters, Don Vernekohl, Klaus Reygers, Klaus P. Schäfers, Frank Wübbeling, and Johannes P. Wessels

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520 |a The quadHIDAC is a dedicated high resolution small animal PET scanner based on multi-wire proportional chamber detectors. It provides very high spatial resolution, good sensitivity, and a large field-of-view allowing the examination of more than one animal in a single scan or a whole body scan of larger species in a single bed position. Excellent image quality has been obtained through list-mode-based EM reconstruction using resolution recovery. However, quantitative results on local uptake are still missing due to both (1) lack of energy discrimination and (2) inaccurate characterization of random events recorded by the scanner. In this work we describe how quantification can be achieved through the use of an appropriate Monte Carlo simulation of the quadHIDAC. The complex structure of the quadHIDAC has been completely implemented in a Geant4 simulation. Point sources, line sources, cylindrical phantoms, and voxelized image data have been successfully simulated and compared to real measurements. The magnitude and spatial distribution of scattered and random events could be quantitatively characterized for the different phantom geometries. The simulation provides access to information on single hit distributions resulting in appropriate randoms corrections in image reconstruction. Both randoms and scatter correction is demonstrated to improve quantification. Their accuracy and performance was tested on simulated and measured data. Using simulation-based correction techniques for quantitative image reconstruction, multi-wire proportional chamber-based PET technology may be attractive for future high resolution PET scanners. 
650 4 |a Chamber 
650 4 |a Computational modeling 
650 4 |a cylindrical phantoms 
650 4 |a Detectors 
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650 4 |a image quality 
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650 4 |a Image reconstruction 
650 4 |a image resolution 
650 4 |a line sources 
650 4 |a list mode based EM reconstruction 
650 4 |a medical image processing 
650 4 |a Monte Carlo methods 
650 4 |a Monte Carlo simulation 
650 4 |a multi-wire 
650 4 |a multiwire proportional chamber detectors 
650 4 |a multiwire proportional chambers 
650 4 |a MWPC 
650 4 |a PET 
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650 4 |a point sources 
650 4 |a positron emission tomography 
650 4 |a Positron emission tomography 
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650 4 |a proportional 
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650 4 |a simulation 
650 4 |a small animal PET 
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650 4 |a voxelized image data 
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