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 |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: S. Cheenu surname: Kappadath fullname: Kappadath, S. Cheenu email: skappadath@mdanderson.org organization: Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 – sequence: 2 givenname: William D. surname: Erwin fullname: Erwin, William D. organization: Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 – sequence: 3 givenname: Richard E. surname: Wendt fullname: Wendt, Richard E. organization: Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19610283$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/22100519$$D View this record in Osti.gov |
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Notes | Telephone: 713‐745‐2835; Fax: 713‐563‐8842. skappadath@mdanderson.org Author to whom correspondence should be addressed. Electronic mail ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 Author to whom correspondence should be addressed. Electronic mail: skappadath@mdanderson.org; Telephone: 713-745-2835; Fax: 713-563-8842. |
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References | Graham, Fahey, Madsen, van Aswegen, Yester (c3) 1995; 22 Bland, Altman (c8) 1987; 1 Coleman (c4) 1982; 53 1987 1987; 1 2006 1994 1983 1972 1982; 53 1995; 22 1988 2868172 - Lancet. 1986 Feb 8;1(8476):307-10 7609720 - Med Phys. 1995 Apr;22(4):401-9 e_1_2_7_5_1 Press W. H. (e_1_2_7_8_1) 1988 e_1_2_7_4_1 e_1_2_7_3_1 Johnson T. K. (e_1_2_7_6_1) 1983 Ullman N. R. (e_1_2_7_7_1) 1972 Rosner B. A. (e_1_2_7_10_1) 2006 e_1_2_7_2_1 Bland J. M. (e_1_2_7_9_1) 1987; 1 |
References_xml | – volume: 1 start-page: 307 issn: 0140-6736 year: 1987 ident: c8 article-title: Statistical methods for assessing agreement between two methods of clinical measurement publication-title: Lancet contributor: fullname: Altman – volume: 53 start-page: 735 issn: 0034-6748 year: 1982 ident: c4 article-title: Effects of perturbing magnetic fields on the performance of photoelectronic sensors publication-title: Rev. Sci. Instrum. contributor: fullname: Coleman – volume: 22 start-page: 401 issn: 0094-2405 year: 1995 ident: c3 article-title: Report of SPECT performance: Report of Task Group 4, Nuclear Medicine Committee publication-title: Med. Phys. contributor: fullname: Yester – year: 1972 – volume: 1 start-page: 307 issue: 8476 year: 1987 end-page: 310 article-title: Statistical methods for assessing agreement between two methods of clinical measurement publication-title: Lancet – year: 1983 – volume: 53 start-page: 735 year: 1982 end-page: 739 article-title: Effects of perturbing magnetic fields on the performance of photoelectronic sensors publication-title: Rev. Sci. Instrum. – year: 1994 – year: 1987 – year: 1988 – year: 2006 – volume: 22 start-page: 401 issue: 4 year: 1995 end-page: 409 article-title: Report of SPECT performance: Report of Task Group 4, Nuclear Medicine Committee publication-title: Med. Phys. – ident: e_1_2_7_4_1 doi: 10.1118/1.597605 – volume-title: Emission Computed Tomography: Current Trends year: 1983 ident: e_1_2_7_6_1 contributor: fullname: Johnson T. K. – volume-title: Statistics: An applied approach year: 1972 ident: e_1_2_7_7_1 contributor: fullname: Ullman N. R. – ident: e_1_2_7_5_1 doi: 10.1063/1.1137056 – volume: 1 start-page: 307 issue: 8476 year: 1987 ident: e_1_2_7_9_1 article-title: Statistical methods for assessing agreement between two methods of clinical measurement publication-title: Lancet contributor: fullname: Bland J. M. – ident: e_1_2_7_2_1 – volume-title: Numerical Recipes in C year: 1988 ident: e_1_2_7_8_1 contributor: fullname: Press W. H. – volume-title: Fundamentals of Biostatistics year: 2006 ident: e_1_2_7_10_1 contributor: fullname: Rosner B. A. – ident: e_1_2_7_3_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 |
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