Title :
Iterative Image Reconstruction Methods applied to data from a prototype small-animal PET
Author :
Karalis, E.K. ; Ortuno, J. ; Kontaxakis, G. ; Koutsouris, Dimitris
Author_Institution :
Nat. Tech. Univ. of Athens, Athens
Abstract :
The purpose of this study is to evaluate the average performance of algebraic and statistical iterative reconstruction methods, using phantom data from a prototype small-animal PET system. The algorithms that are being compared are the simultaneous versions of ART (SART) and MART (SMART), EM-ML, ISRA and WLS. The evaluation study was based on reconstructed image quality, as it is derived from visual inspection, normalized profiles, cross-correlation coefficient and CNRs (contrast-to-noise ratios) of specific ROIs (region-of-interest). In general EM-ML and ISRA present similar reconstruction time and minor differences in reconstructed image quality. Slightly superior performances show WLS and SART while SMART is not adequate for reconstruction of PET data.
Keywords :
expectation-maximisation algorithm; image reconstruction; medical image processing; phantoms; positron emission tomography; ART; EM-ML; ISRA; MART; SMART; WLS; contrast-to-noise ratios; cross-correlation coefficient; expectation maximization maximum likelihood algorithm; image space reconstruction algorithm; iterative image reconstruction; normalized profiles; phantom; prototype small-animal PET; simultaneous algebraic reconstruction technique; simultaneous multiplicative algebraic reconstruction technique; weighted least squares; Image quality; Image reconstruction; Imaging phantoms; Inspection; Iterative algorithms; Iterative methods; Positron emission tomography; Prototypes; Reconstruction algorithms; Subspace constraints;
Conference_Titel :
Bioengineering Conference, 2007. NEBC '07. IEEE 33rd Annual Northeast
Conference_Location :
Long Island, NY
Print_ISBN :
978-1-4244-1032-3
Electronic_ISBN :
978-1-4244-1033-0
DOI :
10.1109/NEBC.2007.4413289
