Reporducibility and action levels for gamma camera uniformity

Young, KC; Kouris, Kypros; Awdeh, M.; Abdel‐Dayem, Hussein M.

doi:10.1097/00006231-199002000-00003

Cited by 14 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For differential uniformity in most cases, a value of less than 3% is obtained after uniformity correction [10]. When the value for differential uniformity exceeds 3%, maintenance service should be carried out on the gamma camera [11]. From these results, it was clear that the gamma camera had flood uniformity that was within an acceptable range.…”

Section: Resultsmentioning

confidence: 99%

Quality Control of Gamma Camera with SPECT Systems

Hasan¹,

Khan²,

Rahman³

et al. 2017

IJMPCERO

View full text Add to dashboard Cite

Quality control of Gamma Camera with SPECT System is highly valuable for assurance performance characteristic. We report the performance characteristic of gamma camera by intrinsic calibration and verification measurement. The study has been done using the data from Siemens Symbia S Series gamma camera by using a point source 99m Tc at the Institute of Nuclear Medicine & Allied Sciences (INMAS), Khulna, Bangladesh. From intrinsic calibration and verification flood series, the integral uniformity for the central field of view (CFOV) has been found in between 4.01% and 2.88% and for the useful field of view (UFOV) has been in between 4.77% and 4.30%. The differential uniformity for the CFOV has been in between 1.53% and 2.04% and for the UFOV has been in between 2.32% and 2.77%. According to Operating Instruction Symbia System S Series manual, uniformity can compensate for values exceeding 10%, however while integral uniformity exceed 7%, have to contract Siemens customer service representative. In conclusion, these results show that the intrinsic uniformity of the gamma camera under this condition is within an acceptable range; thus the gamma camera working in INMAS is performed well.

show abstract

Section: Resultsmentioning

confidence: 99%

Quality Control of Gamma Camera with SPECT Systems

Hasan¹,

Khan²,

Rahman³

et al. 2017

IJMPCERO

View full text Add to dashboard Cite

show abstract

“…Uniformity Test: The differences in the IU measurement were primarily due to the Poisson statistics in the pixel data while all other factors are the same [15]. Investigations show that the most radiation exposures received by nuclear medicine technologist is due to flood phantom imaging comparing to any other nuclear medicine procedures [9].…”

Section: Discussionmentioning

confidence: 99%

Design an Adaptive Quality Control Phantom to Optimize QC Test Methods

Zeinali¹,

Ghiassi-Nejad²,

Mirzaii³

2007

TOMIJ

View full text Add to dashboard Cite

The main objective of this research is to introduce a newly developed device called as "Adaptive Quality Control Phantom" (AQCP) that designed to perform the QC tests. AQCP is a computer-controlled phantom which positions and moves a radioactive source in the FOV of an imaging nuclear medicine device on a definite path to produce any spatial distribution of gamma rays to simulate QC phantoms. To establish and prove the proper functionality as well as the accurate performance of AQCP, different tests including systematic uniformity, collimator hole angulation and the center of rotation tests have been conducted by this device and then the results, findings and differences of such testing when comparing to what achieved by the QC classic method tests have been discussed and analyzed in detail in this paper. According to the different tests done by AQCP, the authors found that the performance of systematic uniformity test shows a considerable reduction in the technologist dose compared to the IAEA-TECDOC-602 method. The collimator hole angulation for LEHR, LEUHR and LEHS collimators were measured by using a point source and the computer-controlled cylindrical positioning and the results achieved indicate that the measurement accuracy for absolute angulation errors was better than 0.018 degrees. A method for center of rotation assessment by AQCP was introduced, the results of such proposed method compared to the routine QC test and their differences have been discussed in detail. Based on all discussed in this paper regarding AQCP, the authors suggest that their presented device would be able to simulate QC phantoms.

show abstract

“…It is dependent on the mean count rate within the region, which is of the same magnitude in the stripe regions of a healthy lung, but may vary largely in emphysematous lungs. Therefore, we chose to subtract the calculated contribution of the statistical noise from the coefficient of variation (Young et al ., 1990), thereby improving estimation of the CV due to variation in ventilation. When the pixel count is very low but rather homogeneously distributed, the contribution of the statistical noise to the overall CV is dominant and easily overestimated.…”

Section: Discussionmentioning

confidence: 99%

Inhomogeneity in planar ventilation scintigraphy of emphysematous patients

Moonen

Johansson

et al. 1998

Clinical Physiology

View full text Add to dashboard Cite

The aim of this study was to develop and evaluate a method for the quantification of inhomogeneity in ventilation scintigraphy. Ten healthy volunteers and 10 emphysematous patients were investigated. Anteroposterior (AP) and Posteroanterior (PA) images of planar ventilation scintigraphy were acquired. Lung regions of interest (ROI) were obtained by manual delineation of the lung contours and then divided into several 10-pixel-high horizontal-stripe regions. By allowing for the statistical noise of the pixel count rate, the biological coefficient of variation (CVB) of the pixel counts in each stripe region was calculated. The apex-to-base distribution of the CVB in the emphysematous lungs dispersed largely and with higher values than the corresponding distribution in the healthy lungs. The mean values of the CVB (MCVB), the ranges of the CVB (RCVB) and the maximum values of the CVB (MAXCVB) in the stripe regions in emphysematous lungs were significantly higher than the corresponding ones in the healthy lungs (all P < 0.001). The intraobserver variations of the MCVB, RCVB and MAXCVB (calculated using the standard deviations of the differences) were less than 2.3% units, 5.2% units and 3.9% units respectively. The corresponding values for interobserver variation were 5.7% units, 6.1% units and 6.4% units. A systematic decrease in lung ROI size, i.e. inclusion of successively less of the lung edge, resulted in a linear decrease of 1.7% units in the MCVB and MAXCVB of both emphysematous and normal lungs. In conclusion, the stripe-region method is a reliable tool for the quantification of inhomogeneity in the planar ventilation scintigraphy.

show abstract

Reporducibility and action levels for gamma camera uniformity

Cited by 14 publications

References 0 publications

Quality Control of Gamma Camera with SPECT Systems

Quality Control of Gamma Camera with SPECT Systems

Design an Adaptive Quality Control Phantom to Optimize QC Test Methods

Inhomogeneity in planar ventilation scintigraphy of emphysematous patients

Contact Info

Product

Resources

About