Optimization of penalization function in Bayesian penalized likelihood reconstruction algorithm for [ ¹⁸ F]flutemetamol amyloid PET images.

Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE

Original Publication: Switzerland : Springer, [2020]-

Bayes Theorem* ; Positron-Emission Tomography* ; Aniline Compounds*/chemistry ; Amyloid*/metabolism ; Amyloid*/chemistry ; Algorithms* ; Phantoms, Imaging* ; Image Processing, Computer-Assisted* ; Benzothiazoles*/chemistry; Humans ; Likelihood Functions ; Male ; Female ; Aged ; Middle Aged

Point-spread-function (PSF) correction is not recommended for amyloid PET images due to Gibbs artifacts. Q.Clear™, a Bayesian Penalized Likelihood (BPL) reconstruction method without incorporating PSF correction reduces these artifacts but degrades image contrast by our previous findings. The present study aimed to recover lost contrast by optimizing reconstruction parameters in time-of-flight (TOF) BPL reconstruction of amyloid PET images without PSF correction. We selected candidate conditions based on a phantom study and then determined which were optimal in a clinical study. Phantom images were reconstructed under conditions of 1‒9 iterations, β 300-1000 and γ factors from 2 to 10 in TOF-BPL without PSF correction. We evaluated the %contrast and the coefficients of variation (CV, %). Standardized uptake value ratios (SUVr) and Centiloid scales (CL) were calculated from PET images acquired from 71 participants after an [ ¹⁸ F]flutemetamol injection. Both %contrast and CV were independent of iterations, whereas a trade-off was found between γ factors and β. We selected a γ factors of 5 without PSF correction (iterations, 1; β, 500) and of 10 without PSF correction (iterations, 1; β, 800) as candidates for clinical investigation. The SUVr and CL remained stable across various conditions, and CL scales effectively discriminated amyloid PET using measured values. The optimal reconstruction parameters of TOF-BPL for [ ¹⁸ F]flutemetamol PET images were γ factor 10, iterations 1 and β 800, without PSF correction.
Competing Interests: Declarations. Competing interests: Duetto toolbox used in this study was provided by GE HealthCare.
(© 2024. Australasian College of Physical Scientists and Engineers in Medicine.)

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JP20K16747 Japan Society for the Promotion of Science

Keywords: Alzheimer’s disease; Amyloid imaging; Dementia; Quantitative analysis; Regularized reconstruction

0F3M7032P5 (flutemetamol)
0 (Aniline Compounds)
0 (Amyloid)
0 (Benzothiazoles)

Date Created: 20240812 Date Completed: 20241224 Latest Revision: 20250106

20250106

10.1007/s13246-024-01476-z

39133373