Image Reconstruction

MR Image Reconstruction section of AMIRLab is devoted to develop novel acquisition and reconstruction methods to accelerate signal acquisition and processing times in MR imaging techniques. The research in this section of AMIRLab focuses on Polar Tagging Project and spectral Magnetic Resonance Spectroscopic Imaging (MRSI).
In this section in order to support the advantages of polar tagging a polar-based approach based on radial acquisition and an adapted Polar Fourier Transform (PFT) for reconstruction of acquired raw data has been proposed, which paves the road towards real-time strain imaging. Also, post processing of myocardium tagged images is embedded as a functor in image reconstruction chain and results of processes are available on the scanner console immediately after scan. Furthermore, in this research group, two distinct sampling-reconstruction methods based on Compressed Sensing (CS) framework have been proposed in order to accelerate acquisition times in spectral MRSI in order to facilitate its widespread utilization in clinic.

Related Projects

Application of Compressed Sensing in Magnetic Resonance Spectroscopic Imaging [Mohamad Abdi, MSc]
Improving the quality and speed of the strain Imaging through CMR polar tagging [Shokoufeh Golshani, MSc]
Reconstruction Based Approach for Rapid Analysis of CMR Tagged Images [Ali Aghaeifar, Msc.]

Selected Publications

Golshani Sh., Nasiraei-Moghaddam A. “Efficient Radial Tagging CMR Exam: A Coherent k-Space Reading and Image Reconstruction Approach,” Magnetic Resonance in Medicine, March 2016.
Abdi, M.; Raschke, F.; Howe, F.; Nasiraei Moghaddam, A, "Accurate Compressive Sensing of 1H MR Spectroscopic Imaging in Brain Tumors", ISMRM 23nd Scientific Meeting, 2015, Canada.
Golshani Sh., Moghaddam A.N. “Real time circular tagging is possible through radial acquisition” SCMR 2016, Los Angeles, USA.
Aghaeifar A., Moghaddam A.N., Finn J.P. “Inline Generation of Tag line Density Maps for Radial Strain Quantification from Circular MR Tagging.,” ISMRM 22nd Scientific Meeting, 2014, Italy