Please use this identifier to cite or link to this item: https://apo.ansto.gov.au/dspace/handle/10238/9304
Title: What approach to brain partial volume correction is best for PET/MRI?
Authors: Hutton, BF
Thomas, BA
Erlandsson, K
Bousse, A
Reilhac-Laborde, A
Kazantsev, D
Pedemonte, S
Vunckx, K
Arridge, SR
Ourselin, S
Keywords: Brain
Positron computed tomography
Magnetic resonance
Monte Carlo method
NMR imaging
Diagnostic techniques
Issue Date: 21-Feb-2013
Publisher: Elsevier B.V.
Citation: Hutton, B. F., Thomas, B. A., Erlandsson, K., Bousse, A., Reilhac-Laborde, A., Kazantsev, D., Vundkx, K., Arridge, S. R., & Ourselin, S. (2013). What approach to brain partial volume correction is best for PET/MRI? Nuclear instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 702, 29-33. doi:10.1016/j.nima.2012.07.059
Abstract: Many partial volume correction approaches make use of anatomical information, readily available in PET/MRI systems but it is not clear what approach is best. Seven novel approaches to partial volume correction were evaluated, including several post-reconstruction methods and several reconstruction methods that incorporate anatomical information. These were compared with an MRI-independent approach (reblurred van Cittert ) and uncorrected data. Monte Carlo PET data were generated for activity distributions representing both 18F FDG and amyloid tracer uptake. Post-reconstruction methods provided the best recovery with ideal segmentation but were particularly sensitive to mis-registration. Alternative approaches performed better in maintaining lesion contrast (unseen in MRI) with good noise control. These were also relatively insensitive to mis-registration errors. The choice of method will depend on the specific application and reliability of segmentation and registration algorithms. (c) 2012 Elsevier Science B.V.
Gov't Doc #: 8772
URI: https://doi.org/10.1016/j.nima.2012.07.059
http://apo.ansto.gov.au/dspace/handle/10238/9304
ISSN: 0168-9002
Appears in Collections:Journal Articles

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