Software Compression for Partially Parallel Imaging with Multi-channels

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