Title :
Quantitative assessment of parallel acquisition techniques in diffusion tensor imaging at 3.0 Tesla
Author :
Ardekani, S. ; Sinha, U.
Author_Institution :
Dept. of Biomed. Eng., California Univ., Los Angeles, CA, USA
Abstract :
Single shot echo-planar based diffusion tensor imaging is prone to geometric and intensity distortions which scale with the magnetic field. Parallel imaging is a means of reducing these distortions while preserving spatial resolution. A quantitative comparison at 3 T of parallel imaging for diffusion tensor sequences using k-space (GRAPPA) and image domain (SENSE) reconstructions is reported here. Indices quantifying distortions, artifacts and reliability were compared for all voxels in the corpus callosum and showed that GRAPPA with an acceleration factor of 2 was the optimal sequence.
Keywords :
biomedical MRI; brain; data acquisition; image reconstruction; image resolution; image sequences; medical image processing; 3.0 T; acceleration factor; corpus callosum; diffusion tensor imaging; diffusion tensor sequence; geometric distortion; image domain reconstruction; intensity distortion; k-space reconstruction; magnetic field; parallel acquisition technique; single shot echo-planar imaging; spatial resolution; Acceleration; Biomedical imaging; Coils; Diffusion tensor imaging; Image reconstruction; Magnetic field measurement; Protocols; Signal to noise ratio; Spatial resolution; Tensile stress; 3T; Diffusion tensor imaging; Parallel acquisition;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403349
