Automatic Analysis’s of SPECT Gamma Camera performance using Image Processing

Abstract

The main objective of this study was to assess the quality control of SPECT gamma camera using developed Algorithm via image processing procedure. Usually assessment done through visual inspection of phantom images i.e. visual perception trend; in this study separate algorithm were developed to quantify the uniformity (integral, and differential), linearity and resolution using Modulation Transfer Function (MTF). The data of this study were collected from Royal Care International Hospital, Nuclear Medicine Department in the period from 2014 to 2016; images of QC test were taken from SPECT gamma camera as DICOM format. The result of this study showed that the uniformity for useful central field of view for integral uniformity was 2.97%. While row differential uniformity was 1.96% and column differential uniformity was 1.55% similar to build in routine. The linearity showed that for vertical location the variation from the original location of the line it was 0.02 mm which indicates that almost the point’s falls in the line with a correlation coefficient of 0.998. For horizontal lines the differences between the two in average equal to 0.2mm, with a correlation coefficient equal to 0.956. The resolution for minimum object used 4mm was 70% and increased with object size increased to reach 100% resolution for an object size of 10 mm i.e. 100% resolution corresponds to the coordinate of the MTF at 10% and frequency of 0.05cycle /mm. in conclusion the developed algorithm can be used to assess all gamma camera QC image regardless of the machine brand objectively