본문으로 건너뛰기
← 뒤로

Design and geometry optimization of a dual-panel prostate dedicated PET scanner.

Physics in medicine and biology 2026 Vol.71(7)

Amini M, Saberi Manesh A, Doroud K, Arabi H, Zaidi H

📝 환자 설명용 한 줄

We present the system design and optimization of the ProVision prostate-dedicated time-of-flight, depth-of-interaction, dual-panel positron emission tomography (PET) scanner.

이 논문을 인용하기

BibTeX ↓ RIS ↓
APA Amini M, Saberi Manesh A, et al. (2026). Design and geometry optimization of a dual-panel prostate dedicated PET scanner.. Physics in medicine and biology, 71(7). https://doi.org/10.1088/1361-6560/ae59ea
MLA Amini M, et al.. "Design and geometry optimization of a dual-panel prostate dedicated PET scanner.." Physics in medicine and biology, vol. 71, no. 7, 2026.
PMID 41916406

Abstract

We present the system design and optimization of the ProVision prostate-dedicated time-of-flight, depth-of-interaction, dual-panel positron emission tomography (PET) scanner. Dual-panel PET geometries offer compact and open configuration suitable for prostate-dedicated imaging; yet, they intrinsically suffer from limited-angle sampling. We evaluated two practical strategies providing the same overall scanning time, to improve transaxial angular coverage: (i) large, static panels (3 × 8 detector blocks) optimized through inter-block gap patterns (8 candidate geometries), and (ii) smaller movable panels (3 × 4 blocks) optimized via multi-step motion protocols (4 candidate protocols).Candidate designs were screened using two complementary frameworks. First, a fast, reconstruction-independent approach proposed to quantify voxelwise sampling characteristics, capturing both the magnitude and isotropy of angular coverage throughout the imaging volume. Second, conventional Monte Carlo simulations followed by image reconstruction and standardized image quality analysis (using a scaled National Electrical Manufacturers Association NU2 image-quality phantom) to assess the resulting imaging performance. The performance was evaluated using contrast recovery (CR), background variability (noise), contrast-to-noise ratio, plus quantification of image elongation through the full-width at half-maximum (FWHM) of line profiles passing through the smallest (4.5 mm diameter) spherical insert.For static designs, non-uniform gap configuration (smaller at centre, and progressively larger gaps toward the panel edges) were consistently favoured. The top-performing geometry achieved the best overall balance, with +4.3% CR, -2.4% noise, and reduced elongation (7.2 mm vs 8.0 mm FWHM) relative to the minimum-gap reference geometry. For dynamic designs, more complex motion protocols led to improved performance; the best protocol achieved modest gains (+1.6% CR, -3.6% noise) and the smallest elongation among protocols (FWHM 6.3 mm vs 7.4 mm for the reference protocol). Comparing the best of static and dynamic configurations, the moving-panel design improved CR (55.9% vs 53.4%) and elongation (6.3 mm vs 7.2 mm) at the cost of substantially increased noise (8.2% vs 5.7%; +44%), highlighting a clear performance-noise-complexity trade-off. Rankings derived from the proposed reconstruction-independent framework showed overall consistency with those obtained from Monte Carlo simulations, leading to the same winning candidates.The two evaluation frameworks should be viewed as complementary rather than directly comparable, each offering distinct and valuable insights at different stages of system design and optimization. This study provides a structured basis for examining performance trade-offs, practical design constraints, and methodological implications associated with static and dynamic dual-panel PET configurations for prostate imaging.

MeSH Terms

Positron-Emission Tomography; Male; Humans; Prostate; Equipment Design; Phantoms, Imaging; Image Processing, Computer-Assisted; Monte Carlo Method; Prostatic Neoplasms; Signal-To-Noise Ratio

같은 제1저자의 인용 많은 논문 (2)