Gamma camera is a diagnostic instrument which presents an exquisite genus of imaging. It has developed out of the necessity in nuclear medical imaging to view and analyze images of the anthropoid body or the distribution of physically injected, inhaled, or ingested radionuclides radiating gamma rays [1] . In the arrangement for measuring the value of intrinsic uniformity of a gamma camera, the gamma ray spectrometry system is very essential.

Camera acceptance and the quality control test for a gamma camera system do not have any general agreement [2] [3] . Many authors have proposed various protocols for carrying out QC tests for intrinsic uniformity [4] -[9] . According to National Electrical Manufacture Association (NEMA) [4] and International Atomic Energy Agency (IAEA) [5] , the evaluation of detector non-uniformity is the most prevalent practice in present day quality control procedures of gamma camera. Before using gamma camera, day-to-day evaluation and judgment of flood-field uniformity are mandatory for patient testing [10] [11] . Any non-uniformity must be rejected and resolved before patient testing to diminish artifacts and false-positive or false-negative patient consequences. We favor intrinsic uniformity testing because a ^99mTc point source is freely available.

The majority of imaging in general nuclear medicine is performed with the gamma camera. Scintillation occurs when γ photons emitted from the source or patient interacts with the sodium iodide crystal to produce light. The primary components of the scintillation camera include the collimator, scintillation crystal, photomultiplier tube, positioning logic network, pulse height analyzer, and display [12] .

Two types of uniformity parameters are considered in SPECT imaging. Among them, the Integral Uniformity (IU) is calculated as [13] [14] ,

The maximum and the minimum pixel counts are found from the smoothed data. On the other hand, the Differential Uniformity (DU) is calculated as [15] ,

We performed quality test in accordance to intrinsic uniformity for SPECT gamma camera [11] . The main purpose of this current research work is to determine the best parameters for daily quality control testing of intrinsic uniformity for dual head SPECT gamma camera from Siemens E. Cam signature series, Germany, installed at Institute of Nuclear Medicine and Allied Sciences (INMAS), Dhaka Medical College Hospital (DMCH), Dhaka. The integral and differential intrinsic uniformity test for both useful field of view (UFOV) and central field of view (CFOV) was done by placing a point source of ^99mTc in front of the detectors with removed collimators to measure the effect of source to camera distance and count rate on intrinsic uniformity. The intrinsic uniformity of the system is measured for the CFOV and UFOV [13] . The measured values are compared with the specification. The effects of source to camera distance and count rate have been investigated using intrinsic uniformity to assure quality control of SPECT gamma camera.

Table 1 and Table 2 show how the intrinsic uniformity varies with source to camera distance and count rate for detectors 1 and 2 with respect to both UFOV and CFOV.

Figure 2 and Figure 3 show the integral and differential intrinsic uniformity of Detector-1 and Figure 4 and Figure 5 show the integral and differential intrinsic uniformity of Detector-2 respectively of the scheme versus the source to camera distance where the counting rate for acquiring the flood image was kept in the range of 50 - 60 kcps and the number of acquired counts for each flood image was 16 M. From the figure we found that both of the integral and differential intrinsic uniformity of the scheme enriched with increasing point source to camera distance. In our research 3.0 meter was the maximum distance.

Figure 6 and Figure 7 show the effect of the number of acquired counts on intrinsic uniformity of Detector-1 and Figure 8 and Figure 9 show the effect of the number of acquired counts on intrinsic uniformity of Detector-2 respectively of the scheme when 95 MBq point source was used for all flood-field images, the intrinsic flood-field uniformity enhanced as the number of acquired counts for the flood-field image improved. The error bars on the figure shows the statistical variation. We demonstrated that by increasing the number of acquired counts (elongated stage to acquire the flood image), in both cases the differential and integral intrinsic uniformity for the UFOV and the CFOV improved because there were fewer statistical fluctuations. However, the incremental gain in intrinsic uniformity from 16 to 60 M was least.

From this research, the QC parameters in accordance with intrinsic uniformity, the results ensemble the fact that the intrinsic uniformity is apt as long as it is maintained to the minimum level i.e. the lower the intrinsic uniformity is, the better the imaging and diagnosis are. The result confirms that the best intrinsic uniformity image is attained at source to camera distance of 3 m and a count rate between 16 and 60 M. If one can maintain this result in case of SPECT gamma camera imaging, then best images will be investigated to perform better diagnosis.

The authors are grateful to Mr. Md. Sanowar Hossain, Professor and Director, Institute of Nuclear Medicine & Allied Sciences, Bangladesh Atomic Energy Commission, Dhaka, Bangladesh and Mr. Md. Selim Reja, Chief Scientific Officer (CSO), Institute of Nuclear Medicine & Allied Sciences, Bangladesh Atomic Energy Commission (BAEC), Dhaka, Bangladesh, for allowing and continuing the research and helping throughout the research activity.