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
1Medical Image Processing Research Group (MIPRG), Department of Electrical and Computer Engineering, COMSATS University, Islamabad, Pakistan
The
proposed method retains the virtual coil sensitivity information better as
compared to that of PCA. Moreover, the proposed channel compression reduces the
size of the input data with minimum channel compression losses before
reconstruction.
Figure 1: Block diagram of the proposed method: First, PCA is applied to
compress the VD under-sampled human head data from 30 channel receiver coils to
8 virtual coils. Later U-Net is used to compensate the compression losses of
PCA in terms of sensitivity information of 8 virtual coils VD under-sampled
images. Later, adaptive coil combination of CS-MRI reconstructed virtual coil
images gives the final solution/reconstructed image.
Figure 2: CS-MRI reconstructed 8 virtual coil images obtained from the proposed
channel compression and PCA: First the VD under-sampled human head data (AF=2)
is compressed from 30 channel receiver coils into 8 virtual coils by the proposed
method and PCA. Later, CS-MRI is used for coil-by-coil reconstruction of 8
virtual coil under-sampled images. The reconstructed virtual coil images show
minimum compression losses by the proposed method as compared to the PCA.
