Title :
Regionally Optimized Reconstruction for Partially Parallel Imaging in MRI Applications
Author :
Li, Yu ; Huang, Feng
Author_Institution :
Invivo Diagnostic Imaging, Gainesville, FL
fDate :
5/1/2009 12:00:00 AM
Abstract :
Based on the conventional SENSE and GRAPPA, a regionally optimized reconstruction method is developed for reduced noise and artifact level in partially parallel imaging. In this regionally optimized reconstruction, the field-of-view (FOV) is divided into a number of small regions. Over every small region, the noise amplification and data fitting error can be balanced and minimized locally by taking advantage of spatial correlation of neighboring pixels in reconstruction. The full FOV image can be obtained by ldquoregion-by-regionrdquo reconstruction. Compared with the conventional SENSE, this method gives better performance in the regions where there are pixels with high SENSE g-factors. Compared with GRAPPA, it is better in the regions where all the pixels have low SENSE g-factors. In this work, we applied the regionally optimized reconstruction in four important imaging experiments: brain, spine, breast, and cardiac. It was demonstrated in these experiments that the overall image quality using this regionally optimized reconstruction is better than that using the conventional SENSE or GRAPPA.
Keywords :
biomedical MRI; bone; brain; cardiovascular system; correlation methods; image denoising; image reconstruction; mammography; medical image processing; neurophysiology; FOV image; MRI application; SENSE g-factor; brain; breast; cardiovascular system; data fitting error; field-of-view region; image quality; magnetic resonance imaging; noise amplification; partially parallel imaging; region-by-region reconstruction; regionally optimized reconstruction; spatial correlation; spine; Calibration; Coils; Convolution; Hyperspectral imaging; Image reconstruction; Indexes; Kernel; Magnetic resonance imaging; Pixel; Reconstruction algorithms; Coil array; GRAPPA; SENSE; partially parallel imaging; regionally optimized reconstruction; Algorithms; Brain; Breast; Fourier Analysis; Heart; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Spine;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2008.2010432