Reducing the influence of spatial resolution to improve quantitative accuracy in emission tomography: A comparison of potential strategies

Hutton, BF; Olsson, A; Som, S; Erlandsson, K; Braun, M

Reducing the influence of spatial resolution to improve quantitative accuracy in emission tomography: A comparison of potential strategies

Hutton, BF Olsson, A Som, S Erlandsson, K Braun, M

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Publication Type:: Journal Article
Citation:: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2006, 569 (2 SPEC. ISS.), pp. 462 - 466
Issue Date:: 2006-12-20

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Field	Value	Language
dc.contributor.author	Hutton, BF	en_US
dc.contributor.author	Olsson, A	en_US
dc.contributor.author	Som, S	en_US
dc.contributor.author	Erlandsson, K	en_US
dc.contributor.author	Braun, M https://orcid.org/0000-0001-8908-5546	en_US
dc.date.issued	2006-12-20	en_US
dc.identifier.citation	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2006, 569 (2 SPEC. ISS.), pp. 462 - 466	en_US
dc.identifier.issn	0168-9002	en_US
dc.identifier.uri	http://hdl.handle.net/10453/406
dc.description.abstract	The goal of this paper is to compare strategies for reducing partial volume effects by either minimizing the cause (i.e. improving resolution) or correcting the effect. Correction for resolution loss can be achieved either by modelling the resolution for use in iterative reconstruction or by imposing constraints based on knowledge of the underlying anatomy. Approaches to partial volume correction largely rely on knowledge of the underlying anatomy, based on well-registered high-resolution anatomical imaging modalities (CT or MRI). Corrections can be applied by considering the signal loss that results by smoothing the high-resolution modality to the same resolution as obtained in emission tomography. A physical phantom representing the central brain structures was used to evaluate the quantitative accuracy of the various strategies for either improving resolution or correcting for partial volume effects. Inclusion of resolution in the reconstruction model improved the measured contrast for the central brain structures but still underestimated the true object contrast (∼0.70). Use of information on the boundaries of the structures in conjunction with a smoothing prior using maximum entropy reconstruction achieved some degree of contrast enhancement and improved the noise properties of the resulting images. Partial volume correction based on segmentation of registered anatomical images and knowledge of the reconstructed resolution permitted more accurate quantification of the target to background ratio for individual brain structures. © 2006 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment	en_US
dc.relation.isbasedon	10.1016/j.nima.2006.08.143	en_US
dc.subject.classification	Nuclear & Particles Physics	en_US
dc.title	Reducing the influence of spatial resolution to improve quantitative accuracy in emission tomography: A comparison of potential strategies	en_US
dc.type	Journal Article
utslib.citation.volume	2 SPEC. ISS.	en_US
utslib.citation.volume	569	en_US
utslib.for	0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics	en_US
utslib.for	0201 Astronomical and Space Sciences	en_US
utslib.for	0299 Other Physical Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	2 SPEC. ISS.	en_US
pubs.publication-status	Published	en_US
pubs.volume	569	en_US

Abstract:

The goal of this paper is to compare strategies for reducing partial volume effects by either minimizing the cause (i.e. improving resolution) or correcting the effect. Correction for resolution loss can be achieved either by modelling the resolution for use in iterative reconstruction or by imposing constraints based on knowledge of the underlying anatomy. Approaches to partial volume correction largely rely on knowledge of the underlying anatomy, based on well-registered high-resolution anatomical imaging modalities (CT or MRI). Corrections can be applied by considering the signal loss that results by smoothing the high-resolution modality to the same resolution as obtained in emission tomography. A physical phantom representing the central brain structures was used to evaluate the quantitative accuracy of the various strategies for either improving resolution or correcting for partial volume effects. Inclusion of resolution in the reconstruction model improved the measured contrast for the central brain structures but still underestimated the true object contrast (∼0.70). Use of information on the boundaries of the structures in conjunction with a smoothing prior using maximum entropy reconstruction achieved some degree of contrast enhancement and improved the noise properties of the resulting images. Partial volume correction based on segmentation of registered anatomical images and knowledge of the reconstructed resolution permitted more accurate quantification of the target to background ratio for individual brain structures. © 2006 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/406