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Iterative framework for image registration and partial volume correction in brain positron emission tomography.

ABSTRACT: Imprecise registration between positron emission tomography (PET) and anatomical magnetic resonance (MR) images is a critical source of error in MR imaging-guided partial volume correction (MR-PVC). Here, we propose a novel framework for image registration and partial volume correction, which we term PVC-optimized registration (PoR), to address imprecise registration. The PoR framework iterates PVC and registration between uncorrected PET and smoothed PV-corrected images to obtain precise registration. We applied PoR to the [¹¹C]PiB PET data of 92 participants obtained from the Alzheimer's Disease Neuroimaging Initiative database and compared the registration results, PV-corrected standardized uptake value (SUV) and its ratio to the cerebellum (SUVR), and intra-region coefficient of variation (CoV) between PoR and conventional registration. Significant differences in registration of as much as 2.74 mm and 3.02° were observed between the two methods (effect size??0.8), which resulted in considerable SUVR differences throughout the brain, reaching a maximal difference of 62.3% in the sensory motor cortex. Intra-region CoV was significantly reduced using the PoR throughout the brain. These results suggest that PoR reduces error as a result of imprecise registration in PVC and is a useful method for accurately quantifying the amyloid burden in PET.

SUBMITTER: Matsubara K

PROVIDER: S-EPMC7688593 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Iterative framework for image registration and partial volume correction in brain positron emission tomography.

Matsubara Keisuke K Ibaraki Masanobu M Shidahara Miho M Kinoshita Toshibumi T

Radiological physics and technology 20201019 4

Imprecise registration between positron emission tomography (PET) and anatomical magnetic resonance (MR) images is a critical source of error in MR imaging-guided partial volume correction (MR-PVC). Here, we propose a novel framework for image registration and partial volume correction, which we term PVC-optimized registration (PoR), to address imprecise registration. The PoR framework iterates PVC and registration between uncorrected PET and smoothed PV-corrected images to obtain precise regist ...[more]

PMID: 33074484

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Dataset Information

Iterative framework for image registration and partial volume correction in brain positron emission tomography.

Publications

Iterative framework for image registration and partial volume correction in brain positron emission tomography.

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