Meeting Banner
Abstract #1752

PCA and U-Net based Channel Compression for Fast MR Image Reconstruction

Madiha Arshad1, Mahmood Qureshi1, Omair Inam1, and Hammad Omer1
1Medical Image Processing Research Group (MIPRG), Department of Electrical and Computer Engineering, COMSATS University, Islamabad, Pakistan

In parallel imaging, the array coil with a large number of channels accelerates the data acquisition speed and provides high quality reconstructed images at the cost of an increase in computational complexity, image reconstruction time and memory requirement. Recently, Principal Component Analysis (PCA) has been used to compress multiple physical channels to a few virtual channels. However, the results showed a degradation in image quality and loss of sensitivity information. We introduce a novel channel compression technique combining PCA and U-Net before Compressed Sensing MRI reconstruction. The experimental results show less channel compression losses and retention of coil sensitivity information.

This abstract and the presentation materials are available to members only; a login is required.

Join Here