Title :
Influence of MRI artifacts on PET image reconstruction using MRI-based priors
Author :
Caldeira, L. ; Scheins, J. ; Almeida, Paulo ; Herzog, H.
Author_Institution :
Inst. of Neurosci. & Med., Forschungszentrum Julich, Julich, Germany
fDate :
Oct. 27 2013-Nov. 2 2013
Abstract :
MRI information can be used to improve PET images by using Maximum A Posteriori (MAP) reconstruction algorithms. The aim of this study is to assess the influence of MRI image quality using two different methods to incorporate MRI information: boundaries and Bowsher. MRI data are simulated with different artifacts: noise and intensity inhomogeneity (IIH). PET data are also simulated to assess the performance of reconstruction. MAP algorithms using MRI information improve PET image quality, but the MRI image quality clearly influences this improvement. Both methods are robust to noise and IIH, if the artifact levels are acceptable. The Bowsher method achieves better figures of merit, but it is more sensitive to noise and IIH.
Keywords :
biomedical MRI; image denoising; image reconstruction; maximum likelihood estimation; medical image processing; positron emission tomography; Bowsher method; IIH; MAP reconstruction algorithms; MRI artifacts; MRI image quality; MRI-based priors; PET data; PET image quality; PET image reconstruction; figure-of-merit; maximum-a-posteriori reconstruction algorithms; noise-and-intensity inhomogeneity; Biomedical imaging; Image quality; Image reconstruction; Image segmentation; Magnetic resonance imaging; Noise; Positron emission tomography;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
DOI :
10.1109/NSSMIC.2013.6829346
