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Abstract #4357

A Hybrid Dual Domain Deep Learning Framework for Cardiac MR Image Reconstruction

Rameesha Khawaja1, Amna Ammar1, Madiha Arshad1, Faisal Najeeb1, and Hammad Omer1
1MIPRG Research Group, ECE Department, Comsats University, Islamabad, Pakistan


Reconstruction of cine Cardiac MRI (CMRI) is an active research area with room for improvement in motion detection (particularly irregular cardiac motion) and modeling in order to significantly enhance the quality of reconstructed images. Moreover, the reduction of scan time and image reconstruction time of cine CMRI is also a key aspect of today’s clinical requirement. We propose a dual domain cascade of neural networks intercalated with multi-coil data consistency layers for the reconstruction of cardiac MR images from Variable Density under-sampled data. The results show successful reconstruction results of our proposed method when compared with conventional compressed sensing reconstruction.

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