Performance of the Iterative OSEM and HYPER Algorithm for Total-body PET at SUVmax with a Low 18F-FDG Activity, a Short Acquisition Time and Small Lesions

Keyu Zan; Yanhua Duan; Minjie Zhao; Hui Li; Xiao Cui; Leiying Chai; Zhaoping Cheng

doi:10.2174/0115734056274225240109112413

Performance of the Iterative OSEM and HYPER Algorithm for Total-body PET at SUVmax with a Low 18F-FDG Activity, a Short Acquisition Time and Small Lesions

Curr Med Imaging. 2024 Mar 25. doi: 10.2174/0115734056274225240109112413. Online ahead of print.

Authors

Keyu Zan¹, Yanhua Duan¹, Minjie Zhao¹, Hui Li¹, Xiao Cui¹, Leiying Chai¹, Zhaoping Cheng¹

Affiliation

¹ Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.

PMID: 38532604
DOI: 10.2174/0115734056274225240109112413

Abstract

Objective: The primary objective of this comparative investigation was to examine the qualitative attributes of image reconstructions utilizing two distinct algorithms, namely OSEM and HYPER Iterative, in total-body 18F- FDG PET/CT under various acquisition durations and injection activities.

Methods: An initial assessment was executed using a NEMA phantom to compare image quality engendered by OSEM and HYPER Iterative algorithms. Parameters such as BV, COV, and CRC were meticulously evaluated. Subsequently, a prospective cohort study was conducted on 50 patients, employing both reconstruction algorithms. The study was compartmentalized into distinct acquisition time and dosage groups. Lesions were further categorized into three size-based groups. Quantifiable metrics including SD of noise, SUV_max, SNR, and TBR were computed. Additionally, the differences in values, namely ΔSUV_max, ΔTBR, %ΔSUV_max, %ΔSD, and %ΔSNR, between OSEM and HYPER Iterative algorithms were also calculated.

Results: The HYPER Iterative algorithm showed reduced BV and COV compared to OSEM in the phantom study, with constant acquisition time. In the clinical study, lesion SUV_max, TBR, and SNR were significantly elevated in images reconstructed using the HYPER Iterative algorithm in comparison to those generated by OSEM (p < 0.001). Furthermore, an amplified increase in SUV_max was predominantly discernible in lesions with dimensions less than 10 mm. Metrics such as %ΔSNR and %ΔSD in HYPER Iterative exhibited improvements correlating with reduced acquisition times and dosages, wherein a more pronounced degree of enhancement was observable in both ΔSUV_max and ΔTBR.

Conclusion: The HYPER Iterative algorithm significantly improves SUV_max and reduces noise level, with particular efficacy in lesions measuring ≤ 10 mm and under conditions of abbreviated acquisition times and lower dosages.

Keywords: Acquisition time; Image quality; Injection activity. Article; NEMA; Positron-emission tomography; Reconstruction.