A novel method to evaluate gamma camera rotational uniformity and sensitivity variation

An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co-57 sheet source is fastened to the collimator, this new point-source method acquires the images intrinsically...

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Published in:Medical physics (Lancaster) Vol. 36; no. 6; pp. 1947 - 1955
Main Authors: Kappadath, S. Cheenu, Erwin, William D., Wendt, Richard E.
Format: Journal Article
Language:English
Published: United States American Association of Physicists in Medicine 01-06-2009
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Abstract An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co-57 sheet source is fastened to the collimator, this new point-source method acquires the images intrinsically using a Tc-99m point source placed near the isocenter of gantry rotation. As with the conventional method, the point-source method acquires 5 × 10 6 count flood images at four distinct gantry positions to calculate the maximum sensitivity variation (MSV)—a quantitative metric of rotational uniformity and sensitivity variation. The point-source method incorporates corrections for the decay of Tc-99m between acquisitions, the curvature in the image intensity due to variation in photon flux across the detector from a near-field source, and the source-to-detector distance variations between views. The raw point-source images were fitted with an analytic function in order to compute curvature- and distance-corrected images prior to analysis. Five independent MSV measurements were performed using both conventional and point-source methods on a single detector of a dual-headed SPECT system to estimate the precision of each method. The precision of the point-source method was further investigated by performing ten independent measurements of MSV on six different detectors. Correlation between the MSV calculated by the two methods was investigated by performing the test on nine different detectors using both methods. Different levels of sensitivity variations were also simulated on four detectors to generate 40 additional paired points for correlation analysis. The effect of the total image counts on the MSV estimated with the new method was evaluated by acquiring image sequences with 5 × 10 6 , 10 × 10 6 , and 20 × 10 6 count images. The MSV calculated using the conventional and point-source methods exhibited a high degree of correlation and consistency with equivalence. The precision of the point-source method (0.145%) is lower than the conventional method (0.04%) but sufficient to test MSV. No statistically significant dependence of MSV with the point-source method on the total image counts over a range of ( 5 – 20 ) × 10 6 counts was observed. Curvature correction of the images prior to the generation of difference images renders images more conducive to qualitative inspection for structured, nonrandom patterns. The advantages of the new methodology are that multiple detectors of a gamma camera can be evaluated simultaneously which substantially reduces the time required for MSV testing and the reduced risk of accidental damage to the collimators and patient proximity detection system from having to mount a sheet source on each of the detectors.
AbstractList An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co-57 sheet source is fastened to the collimator, this new point-source method acquires the images intrinsically using a Tc-99m point source placed near the isocenter of gantry rotation. As with the conventional method, the point-source method acquires 5x10{sup 6} count flood images at four distinct gantry positions to calculate the maximum sensitivity variation (MSV)--a quantitative metric of rotational uniformity and sensitivity variation. The point-source method incorporates corrections for the decay of Tc-99m between acquisitions, the curvature in the image intensity due to variation in photon flux across the detector from a near-field source, and the source-to-detector distance variations between views. The raw point-source images were fitted with an analytic function in order to compute curvature- and distance-corrected images prior to analysis. Five independent MSV measurements were performed using both conventional and point-source methods on a single detector of a dual-headed SPECT system to estimate the precision of each method. The precision of the point-source method was further investigated by performing ten independent measurements of MSV on six different detectors. Correlation between the MSV calculated by the two methods was investigated by performing the test on nine different detectors using both methods. Different levels of sensitivity variations were also simulated on four detectors to generate 40 additional paired points for correlation analysis. The effect of the total image counts on the MSV estimated with the new method was evaluated by acquiring image sequences with 5x10{sup 6}, 10x10{sup 6}, and 20x10{sup 6} count images. The MSV calculated using the conventional and point-source methods exhibited a high degree of correlation and consistency with equivalence. The precision of the point-source method (0.145%) is lower than the conventional method (0.04%) but sufficient to test MSV. No statistically significant dependence of MSV with the point-source method on the total image counts over a range of (5-20)x10{sup 6} counts was observed. Curvature correction of the images prior to the generation of difference images renders images more conducive to qualitative inspection for structured, nonrandom patterns. The advantages of the new methodology are that multiple detectors of a gamma camera can be evaluated simultaneously which substantially reduces the time required for MSV testing and the reduced risk of accidental damage to the collimators and patient proximity detection system from having to mount a sheet source on each of the detectors.
An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co‐57 sheet source is fastened to the collimator, this new point‐source method acquires the images intrinsically using a Tc‐99m point source placed near the isocenter of gantry rotation. As with the conventional method, the point‐source method acquires count flood images at four distinct gantry positions to calculate the maximum sensitivity variation (MSV)—a quantitative metric of rotational uniformity and sensitivity variation. The point‐source method incorporates corrections for the decay of Tc‐99m between acquisitions, the curvature in the image intensity due to variation in photon flux across the detector from a near‐field source, and the source‐to‐detector distance variations between views. The raw point‐source images were fitted with an analytic function in order to compute curvature‐ and distance‐corrected images prior to analysis. Five independent MSV measurements were performed using both conventional and point‐source methods on a single detector of a dual‐headed SPECT system to estimate the precision of each method. The precision of the point‐source method was further investigated by performing ten independent measurements of MSV on six different detectors. Correlation between the MSV calculated by the two methods was investigated by performing the test on nine different detectors using both methods. Different levels of sensitivity variations were also simulated on four detectors to generate 40 additional paired points for correlation analysis. The effect of the total image counts on the MSV estimated with the new method was evaluated by acquiring image sequences with , , and count images. The MSV calculated using the conventional and point‐source methods exhibited a high degree of correlation and consistency with equivalence. The precision of the point‐source method (0.145%) is lower than the conventional method (0.04%) but sufficient to test MSV. No statistically significant dependence of MSV with the point‐source method on the total image counts over a range of counts was observed. Curvature correction of the images prior to the generation of difference images renders images more conducive to qualitative inspection for structured, nonrandom patterns. The advantages of the new methodology are that multiple detectors of a gamma camera can be evaluated simultaneously which substantially reduces the time required for MSV testing and the reduced risk of accidental damage to the collimators and patient proximity detection system from having to mount a sheet source on each of the detectors.
An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co‐57 sheet source is fastened to the collimator, this new point‐source method acquires the images intrinsically using a Tc‐99m point source placed near the isocenter of gantry rotation. As with the conventional method, the point‐source method acquires 5×106 count flood images at four distinct gantry positions to calculate the maximum sensitivity variation (MSV)—a quantitative metric of rotational uniformity and sensitivity variation. The point‐source method incorporates corrections for the decay of Tc‐99m between acquisitions, the curvature in the image intensity due to variation in photon flux across the detector from a near‐field source, and the source‐to‐detector distance variations between views. The raw point‐source images were fitted with an analytic function in order to compute curvature‐ and distance‐corrected images prior to analysis. Five independent MSV measurements were performed using both conventional and point‐source methods on a single detector of a dual‐headed SPECT system to estimate the precision of each method. The precision of the point‐source method was further investigated by performing ten independent measurements of MSV on six different detectors. Correlation between the MSV calculated by the two methods was investigated by performing the test on nine different detectors using both methods. Different levels of sensitivity variations were also simulated on four detectors to generate 40 additional paired points for correlation analysis. The effect of the total image counts on the MSV estimated with the new method was evaluated by acquiring image sequences with 5×106, 10×106, and 20×106 count images. The MSV calculated using the conventional and point‐source methods exhibited a high degree of correlation and consistency with equivalence. The precision of the point‐source method (0.145%) is lower than the conventional method (0.04%) but sufficient to test MSV. No statistically significant dependence of MSV with the point‐source method on the total image counts over a range of (5–20)×106 counts was observed. Curvature correction of the images prior to the generation of difference images renders images more conducive to qualitative inspection for structured, nonrandom patterns. The advantages of the new methodology are that multiple detectors of a gamma camera can be evaluated simultaneously which substantially reduces the time required for MSV testing and the reduced risk of accidental damage to the collimators and patient proximity detection system from having to mount a sheet source on each of the detectors.
An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co-57 sheet source is fastened to the collimator, this new point-source method acquires the images intrinsically using a Tc-99m point source placed near the isocenter of gantry rotation. As with the conventional method, the point-source method acquires 5 x 10(6) count flood images at four distinct gantry positions to calculate the maximum sensitivity variation (MSV)--a quantitative metric of rotational uniformity and sensitivity variation. The point-source method incorporates corrections for the decay of Tc-99m between acquisitions, the curvature in the image intensity due to variation in photon flux across the detector from a near-field source, and the source-to-detector distance variations between views. The raw point-source images were fitted with an analytic function in order to compute curvature- and distance-corrected images prior to analysis. Five independent MSV measurements were performed using both conventional and point-source methods on a single detector of a dual-headed SPECT system to estimate the precision of each method. The precision of the point-source method was further investigated by performing ten independent measurements of MSV on six different detectors. Correlation between the MSV calculated by the two methods was investigated by performing the test on nine different detectors using both methods. Different levels of sensitivity variations were also simulated on four detectors to generate 40 additional paired points for correlation analysis. The effect of the total image counts on the MSV estimated with the new method was evaluated by acquiring image sequences with 5 x 10(6), 10 x 10(6), and 20 x 10(6) count images. The MSV calculated using the conventional and point-source methods exhibited a high degree of correlation and consistency with equivalence. The precision of the point-source method (0.145%) is lower than the conventional method (0.04%) but sufficient to test MSV. No statistically significant dependence of MSV with the point-source method on the total image counts over a range of (5-20) x 10(6) counts was observed. Curvature correction of the images prior to the generation of difference images renders images more conducive to qualitative inspection for structured, nonrandom patterns. The advantages of the new methodology are that multiple detectors of a gamma camera can be evaluated simultaneously which substantially reduces the time required for MSV testing and the reduced risk of accidental damage to the collimators and patient proximity detection system from having to mount a sheet source on each of the detectors.
An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the conventional method in which a Co-57 sheet source is fastened to the collimator, this new point-source method acquires the images intrinsically using a Tc-99m point source placed near the isocenter of gantry rotation. As with the conventional method, the point-source method acquires 5 × 10 6 count flood images at four distinct gantry positions to calculate the maximum sensitivity variation (MSV)—a quantitative metric of rotational uniformity and sensitivity variation. The point-source method incorporates corrections for the decay of Tc-99m between acquisitions, the curvature in the image intensity due to variation in photon flux across the detector from a near-field source, and the source-to-detector distance variations between views. The raw point-source images were fitted with an analytic function in order to compute curvature- and distance-corrected images prior to analysis. Five independent MSV measurements were performed using both conventional and point-source methods on a single detector of a dual-headed SPECT system to estimate the precision of each method. The precision of the point-source method was further investigated by performing ten independent measurements of MSV on six different detectors. Correlation between the MSV calculated by the two methods was investigated by performing the test on nine different detectors using both methods. Different levels of sensitivity variations were also simulated on four detectors to generate 40 additional paired points for correlation analysis. The effect of the total image counts on the MSV estimated with the new method was evaluated by acquiring image sequences with 5 × 10 6 , 10 × 10 6 , and 20 × 10 6 count images. The MSV calculated using the conventional and point-source methods exhibited a high degree of correlation and consistency with equivalence. The precision of the point-source method (0.145%) is lower than the conventional method (0.04%) but sufficient to test MSV. No statistically significant dependence of MSV with the point-source method on the total image counts over a range of ( 5 – 20 ) × 10 6 counts was observed. Curvature correction of the images prior to the generation of difference images renders images more conducive to qualitative inspection for structured, nonrandom patterns. The advantages of the new methodology are that multiple detectors of a gamma camera can be evaluated simultaneously which substantially reduces the time required for MSV testing and the reduced risk of accidental damage to the collimators and patient proximity detection system from having to mount a sheet source on each of the detectors.
Author Erwin, William D.
Kappadath, S. Cheenu
Wendt, Richard E.
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skappadath@mdanderson.org
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Bland, Altman (c8) 1987; 1
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Snippet An alternative to the conventional method of performing the AAPM Report 52 rotational uniformity and sensitivity test has been developed. In contrast to the...
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StartPage 1947
SubjectTerms ACCURACY
Algorithms
Cameras
COBALT 57
COLLIMATORS
CORRECTIONS
curvature correction
DETECTION
Equipment Design
Equipment Failure Analysis
gamma camera
GAMMA CAMERAS
GAMMA RADIATION
gamma‐ray apparatus
Image detection systems
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image sensors
INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Magnetic field sensors
Medical image quality
Medical imaging
Nuclear Medicine Physics
Photons
point source
POINT SOURCES
Position sensitive detectors
RADIOLOGY AND NUCLEAR MEDICINE
Radionuclide Imaging - instrumentation
Radionuclide Imaging - methods
Reproducibility of Results
ROTATION
rotational uniformity
SENSITIVITY
Sensitivity and Specificity
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY
Single photon emission computed tomography (SPECT)
TECHNETIUM 99
X‐ and γ‐ray instruments
Title A novel method to evaluate gamma camera rotational uniformity and sensitivity variation
URI http://dx.doi.org/10.1118/1.3125642
https://onlinelibrary.wiley.com/doi/abs/10.1118%2F1.3125642
https://www.ncbi.nlm.nih.gov/pubmed/19610283
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