Title :
Improved MR metabolite image reconstruction
Author :
Bao, Yufang ; Maudsley, Andrew A.
Author_Institution :
Dept. of Radiol., Miami Univ., FL, USA
fDate :
28 Sept.-1 Oct. 2003
Abstract :
A method is proposed for improved reconstruction of volumetric magnetic resonance spectroscopic imaging (MRSI) of the brain. This data is typically under-sampled, resulting in spatial blurring; however, resolution at object boundaries are between different tissue regions can be improved by incorporating a priori spatial information obtained form high-resolution tissue-segmented MRI data with a parametric model of the acquired data.
Keywords :
biological tissues; biomedical MRI; brain; image reconstruction; image resolution; magnetic resonance spectroscopy; medical image processing; MR metabolite image reconstruction; brain; magnetic resonance spectroscopic imaging; resolution; spatial blurring; tissue regions; Frequency; Image reconstruction; Magnetic resonance; Magnetic resonance imaging; Radiology; Reconstruction algorithms; Sampling methods; Signal to noise ratio; Spatial resolution; Spectroscopy;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289365
