Assessment of SPECT Image Reconstruction in Liver Scanning Using 99mTc/ EDDA/ HYNIC-TOC

Abstract

Introduction: SPECT is reconstructed using iterative techniques incorporating photon attenuation correction based on the X ray transmission map and scatter correction. Since the quality of image in SPECT scans depends on the imaging parameters that are determined experimentally in the field of nuclear medicine, designing a dedicated scanning method for 99mTc/SPECT is need to improve the accuracy of disease diagnostic. Therefore, in this study with the aims of assessment and evaluation the effect of different filters on image quality, assessment of quality criteria on image before and after optimization and determine optimum algorithm for reconstruction on liver scanning using 99m Tc for SPECT studies. Material and Method: Filtered Back-projection reconstruction method had been used in liver scanning using 99m Tc/EDDA/HYNIC-TOC for SPECT image and effect of different filters on SPECT imaging have been evaluated. Results and Conclusion: Based on results, we suggest the Hamming filter to be used for visual analysis of Liver SPECT because of its ability to produce the high-quality image. Instead, the Butterworth filter is suggested for quantitative analysis because of its ability to balance between image quality and noise.

Keywords

• Single Photon Emission Computed Tomography Imaging
• Filtering
• Filter Design
• Image Quality
• Image Reconstruction