Browsing by Author "Arridge, SR"

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    What approach to brain partial volume correction is best for PET/MRI?
    (Elsevier B.V., 2013-02-21) Hutton, BF; Thomas, BA; Erlandsson, K; Bousse, A; Reilhac-Laborde, A; Kazantsev, D; Pedemonte, S; Vunckx, K; Arridge, SR; Ourselin, S
    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.