Title :
Software Compression for Partially Parallel Imaging with Multi-channels
Author :
Huang, Feng ; Vijayakumar, Sathya ; Akao, James
Abstract :
In magnetic resonance imaging, multi-channel phased array coils enjoy a high signal to noise ratio (SNR) and better parallel imaging performance. But with the increase in number of channels, the reconstruction time and requirement for computer memory become inevitable problems. In this work, principle component analysis is applied to reduce the size of data and protect the performance of parallel imaging. Clinical data collected using a 32-channel cardiac coil are used in the experiments. Experimental results show that the proposed method dramatically reduces the processing time without much damage to the reconstructed image
Keywords :
biomedical MRI; image coding; image reconstruction; medical image processing; 32-channel cardiac coil; computer memory; magnetic resonance imaging; multichannel phased array coils; partially parallel imaging; principle component analysis; reconstruction time; software compression; Acceleration; Coils; Data compression; Image reconstruction; Magnetic resonance imaging; Manufacturing; Phased arrays; Principal component analysis; Protection; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616677