A MONTE-CARLO INVESTIGATION OF DUAL-ENERGY WINDOW SCATTER CORRECTION FOR VOLUME-OF-INTEREST QUANTIFICATION IN TC-99(M) SPECT

Citation
Jq. Luo et al., A MONTE-CARLO INVESTIGATION OF DUAL-ENERGY WINDOW SCATTER CORRECTION FOR VOLUME-OF-INTEREST QUANTIFICATION IN TC-99(M) SPECT, Physics in medicine and biology, 40(1), 1995, pp. 181-199
Citations number
25
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging
ISSN journal
00319155
Volume
40
Issue
1
Year of publication
1995
Pages
181 - 199
Database
ISI
SICI code
0031-9155(1995)40:1<181:AMIODW>2.0.ZU;2-F
Abstract
Using Monte Carlo simulation of Tc-99(m) single-photon-emission comput ed tomography (SPECT), we investigate the effects of tissue-background activity, tumour location, patient size, uncertainty of energy window s, and definition of tumour region on the accuracy of quantification. The dual-energy-window method of correction for Compton scattering is employed and the multiplier which yields correct activity for the VOI as a whole calculated. The model is usually a sphere containing radioa ctive water located within a cylinder filled with a more dilute soluti on of radioactivity. Two simulation codes are employed. Reconstruction is by ML-EM algorithm with attenuation compensation. The scatter mult iplier depends only slightly on the sphere location or the cylinder di ameter. It also depends little on whether correction is before or afte r reconstruction. At low background level, it changes with vor size, b ut not at higher background. For a geometrical VOI, it is 1.25 at zero background, decreases sharply to 0.56 for equal concentrations, and i s 0.44 when the background concentration is very large. Quantification is accurate (less than 9% error) if the test background is reasonably close to that used in setting the universal scatter-multiplier value, or if the test backgrounds are always large and so is the universal-v alue background, but not if the test backgrounds cover a large range o f values including zero. Results largely agree with those from experim ent after the experimental data with background is re-evaluated with p rejudice.