Title :
Effect of different reconstruction algorithms on the dynamics and modeling parameters of 18F-Galacto-RGD in mice
Author :
Weber, Axel W. ; Haubner, Roland ; Wolf, Bernhard ; Ziegler, Sibylle I.
Author_Institution :
Tech. Univ. Munchen, Munich
fDate :
Oct. 26 2007-Nov. 3 2007
Abstract :
So far FBP (filtered back projection) is still the standard reconstruction method for kinetic modeling of PET data. Iterative reconstruction algorithms, such as OSEM (ordered subsets expectation maximization) or MAP (maximum a posteriori) create images with better signal-to-noise ratios and less streak artifacts. This is of special interest in the short-time frames with low statistics at the beginning of a dynamic acquisition. To determine if iteratively reconstructed PET data could be used for kinetic modeling of pre-clinical data, we compared OSEM2D and OSEM3D/MAP data with FBP data using microPET data. Nude mice (n=6) bearing a human melanoma tumor were imaged over 90 minutes with a FOCUS 120 microPET. We applied 18F-Galacto-RGD via a tail vein catheter into the animal (9-19 MBq). 18F-Galacto-RGD is used for imaging the alphanubeta3 expression during angiogenesis and on specific tumor cells. Each list mode dataset was binned into 19 frames and reconstructed with FBP, OSEM2D and OSEM3D/MAP. The data was not corrected for scatter and attenuation. Volumes of interest (VOIs) were drawn on the heart and tumor tissue. No corrections for spillover and partial volume effect were applied. For the kinetic modeling of the tumor data a standard 2-tissue-compartment model with reversible binding was used (fitting parameters: K1, k2, k3, k4 (rate constants) and Dnu (vascular blood fraction)). The input function TACs of the iteratively reconstructed data showed no considerable difference to the FBP data. Only the OSEM3D/MAP TACs for the tumor VOIs were clearly and consistently higher for all datasets than the corresponding FBP and OSEM2D TACs. Kinetic modeling shows negligible parameter changes for K1, k2, k3 and k4 for all reconstruction algorithms. The higher OSEM3D/MAP tumor values are compensated only with an overestimated Dnu (Dnu(F- BP)=2.2%, Dnu(OSEM3D/MAP)=3.3%). Further work needs to be done on optimizing the iteration settings for the OSEM3D/MAP.
Keywords :
blood vessels; cancer; cellular biophysics; expectation-maximisation algorithm; image reconstruction; maximum likelihood estimation; medical image processing; positron emission tomography; tumours; 18F-galacto-RGD; FOCUS 120 microPET; angiogenesis; filtered back projection; iterative reconstruction algorithms; kinetic modeling; maximum a posteriori algorithm; melanoma tumor; ordered subsets expectation maximization; tumor cells; Humans; Image reconstruction; Kinetic theory; Malignant tumors; Mice; Neoplasms; Positron emission tomography; Reconstruction algorithms; Signal to noise ratio; Statistics;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0922-8
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2007.4437114