#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Estimation of the accuracy of SUV measurement on SPECT/CT GE Discovery 670


Authors: Pavel Karhan;  Jaroslav Ptáček
Authors‘ workplace: Oddělení lékařské fyziky a radiační ochrany, LF UP a FN Olomouc, ČR
Published in: NuklMed 2017;6:3-7
Category: Original Article

Overview

Introduction:
A cross-calibration of tomographic sensitivity of SPECT/CT camera GE Discovery 670 against the local dose calibrator BQMetr4 was done.

Material and methods:
The error of the calibration coefficient was estimated to be 5,1 % in laboratory conditions. The calibration was confirmed by a series of measurements with the Jaszczak phantom with no inside structures and with hot lesions in various geometries and for different corrections.

Results:
The highest precision in a non-symmetrically scattering and attenuating environment for objects of size 25 mm was achieved for the combination of scatter correction by acquisition in two energy windows and CT-based attenuation correction 7,2 (± 2,9stat ± 10,3sys) % for manual segmentation and 7,9 (± 1,5stat ± 8,2sys) % for segmentation based on searching the maximal average in a region of fixed size. For automated segmentation using thresholding it is desirable to implement the resolution recovery algorithm and the final precision reached 0,5 (± 0,9stat ± 7,9sys) %.

Conclusion:
The precision of SUV is determined by the precision of the cross-calibration. The systematic error of SUV is higher than the systematic error of the calibration due to imprecision of the dose calibrator and was estimated to 7,1 % at most for attenuation and scatter corrections for any segmentation method studied.

Key Words:
quantification of SPECT, SUV, measurement accuracy


Sources

1. Bailey DL, Willowson KP. Quantitative SPECT/CT: SPECT joins PET as a quantitative imaging modality. Eur J Nucl Med Mol Imaging 2014;41 Suppl 1:S17-25

2. Rosenthal MS, Cullom J, Hawkins W et al. Quantitative SPECT imaging: a review and recommendations by the Focus Committee of the Society of Nuclear Medicine Computer and Instrumentation Council. J Nucl Med 1195;36:1489-1513

3. Willowson K, Bailey DL, Baldock C. Quantitative SPECT reconstruction using CT-derived corrections. Phys Med Biol 2008;53:3099-3112

4. Buvat I. Quantification in emission tomography: Challenges, solutions, and performance. Nucl Instr Meth Phys Res A 2007;571:10–13

5. Frey EC, Humm JL, Ljungberg M. Accuracy and Precision of Radioactivity Quantification in Nuclear Medicine Images. Seminars in Nuclear Medicine 2012;42:208-218

6. Bailey DL, Willowson KP. An Evidence-Based Review of Quantitative SPECT Imaging and Potential Clinical Applications. J Nucl Med 2013; 54:83-89

7. Willowson K, Bailey DL, Schembri G et al. CT-based quantitative SPECT for the radionuclide 201Tl: experimental validation and a standardized uptake value for brain tumour patients. Cancer Imaging 2012;12:31–40

8. Karhan P, Ptáček J, Fiala P. Optimalizace rekonstrukčních parametrů pro SPECT a SPECT/CT. NuklMed 2015;4:66-72

9. DCMTK, OFFIS – Institute for Information Technology; verze 3.6.1 [online]. 2016. [cit. 2016-05-05]. Dostupné na: http://support.dcmtk.org/

10. Anděl J. Základy matematické statistiky – 3. vydání. Praha, Matfyzpress, 2011, 360 p

11. NEMA Standards Publication NU 1-2012: Performance Measurements of Gamma Cameras; National Electrical Manufacturers Association 2013, 60 p

Labels
Nuclear medicine Radiodiagnostics Radiotherapy
Login
Forgotten password

Enter the email address that you registered with. We will send you instructions on how to set a new password.

Login

Don‘t have an account?  Create new account

#ADS_BOTTOM_SCRIPTS#