Paper
IPM / Cognitive Sciences / 13728 
School of Cognitive Sciences

Title: 
Compressive Sensing Cardiac Cine MRI Using Invertible NonLinear Transform

Author(s): 
1 . 
P. Zamani
 2 . 
H. SoltanianZadeh


Status: 
In Proceedings

Proceeding: 
The 22nd Iranian Conference on Electrical Engineering (ICEE 2014), May 2022, 2014, Shahid Beheshti University

Year: 
2014

Supported by: 
IPM


Abstract: 
Since compressive sensing (CS) is robust to noise and does not require any special hardware, CSbased methods are advantageous to other ones for increasing MRI speed. Monotonic reordering (sorting) of the desired signal can increase its sparsity and consequently CS reconstruction efficiency. To use this, it is essential to estimate reordering operator which usually has been done by parallel imaging methods. These methods need regular sampling patterns which may not be optimum for CS reconstruction. We replaced the reordering operator by an invertible nonlinear transform. The advantages of this approach are greater reconstruction speed, no need for preliminary reconstruction and estimation of the reordering operator and possibility of having an arbitrary sampling pattern. We successfully applied our approach to speed up cardiac cine MRI by factor of 2. This reduced the mean reconstruction error from 5.65
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