Tehran University of Medical Sciences Frontiers in Biomedical Technologies 2345-5837 12 1 2025 01 01 1 8 Hussein Dakhil Biomedical Engineering and Medical Physics Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran Mohammad Reza Deevband Department of Bioengineering and Medical Physics, Shahid-Beheshti University of Medical Sciences, Tehran, Iran Mahasti Amoui Department of Bioengineering and Medical Physics, Shahid-Beheshti University of Medical Sciences, Tehran, Iran Ahmad Mostaar Department of Bioengineering and Medical Physics, Shahid-Beheshti University of Medical Sciences, Tehran, Iran Mahdi Ghorbani Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Mohsen Khosroabadi Department of Medical Physics, North Khorasan University of Medical Sciences, Bojnurd, Iran Mohammad Ali Ghodsirad Nuclear Medicine Department, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran 2021 10 26 2023 07 29 Purpose: The quality of the image in SPECT scans depends on the imaging parameters which are determined experimentally in the field of nuclear medicine. Designing a dedicated scanning parameter for 177Lu-DOTATATE SPECT images is required to optimize reconstruction. Therefore, this study aims to evaluate the effect of different filters on image quality for bone SPECT scanning using 177Lu-DOTATATE. Materials and Methods: The filtered back-projection reconstruction method was used in neuro-endocrine tumor scanning using 177Lu-DOTATATE. Three hours after injection of 177Lu-DOTATATE, SPECT scans from 177Lu-DOTATATE for 30 patients were acquired using a dual-head EvoExel detector system. Seven parameters were considered, including the contrast/noise ratio, injection activity, uptake duration, acquisition time per injection, frame time, measuring time, and type of filters. Results: In all cases, the application of different filters increased Contrast to Noise Ratio (CNR) (9.1%, 1.8%, 10.9%, 61.8%, 23.6%, 29.1%, and 58.2% for Wiener, Butterworth, Parzen, Metz, Ramp, Shepp-Logan, and Hamming filters, respectively). The percentage of increase in Signal-to-Noise Ratio (SNR) was 3.3%, 1.7%, -24%, 21.7%, 9.8%, 11.9%, and 20.6%. Conclusion: Based on the quantitative analysis of the results, the application of the Metz filter (power 2) and Hamming filter (with 0.27, 0.47, and 0.67 cut-off frequencies) on SPECT scans of neuro-endocrine tumors is recommended because of their capacity to provide high-quality images. https://fbt.tums.ac.ir/index.php/fbt/article/view/422 https://fbt.tums.ac.ir/index.php/fbt/article/download/422/450