Ajin Joy

Ajin Joy PhD Scholar

  • Contact Details :
    • Email Address : ajin.joy@iiitmk.ac.in
    • Phone no. (M) : +91-9745231441

  • Research Focus : Compressed sensing in parallel MRI


Robust Approaches to Non-Linear Diffusion Based Compressed Sensing in Parallel MRI.

Magnetic resonance imaging (MRI) is a medical imaging technique to picture the internal body structure using strong magnetic fields and radio frequency pulses. The data acquisition process associated with MRI is highly time consuming. Solution towards fast imaging is to reduce the number of acquired samples in the k-space (frequency plane where data is acquired). This, however, results in various types of artifacts which then needs to be accounted for, during the image reconstruction process. Compressed Sensing (CS-MRI) and Parallel Imaging (pMRI) are two such image reconstruction problems in MRI intended towards improving this inherently slow acquisition time.

My primary research focus is to investigate the application of non-linear diffusion based CS reconstruction approaches in pMRI. Provided that the signal is sparse in some domain, compressed sensing shows that the signal can be reconstructed from fewer samples than what Nyquist-Shannon sampling limit suggests. While pMRI uses an array of receiver coils and captures undersampled k-space data, CS-MRI relies on random undersampling, sparsifying transforms and saprsity promoting reconstruction algorithms to estimate the missing data.

Publication:

Journals:
  • Ajin Joy, Mathews Jacob and Joseph Suresh Paul. "Directionality Guided Non-Linear Diffusion Compressed Sensing MR Image Reconstruction." Magnetic Resonance in Medicine, 2019; In press.
    [ view document ]  "Download MATLAB codes"

  • Ajin Joy and Joseph Suresh Paul. "A Mixed-order Non-Linear Diffusion Compressed Sensing MR Image Reconstruction." Magnetic Resonance in Medicine, 2018; 80(5):2215–2222.
    [ view document ]  "Download MATLAB codes"

  • Ajin Joy and Joseph Suresh Paul. "Multichannel compressed sensing MR image reconstruction using statistically optimized nonlinear diffusion." Magnetic Resonance in Medicine, 2017; 78(2):754-62.
    [ view document ]  "Download MATLAB codes"

  • Akshara P. Krishnan, Ajin Joy, and Joseph Suresh Paul. "Improved image reconstruction of low-resolution multichannel phase contrast angiography." Journal of Medical Imaging. 2016 Jan;3(1):014001.; doi: 10.1117/1.JMI.3.1.014001
Conferences:
  • Andres Saucedo, Ajin Joy, Eric S. Daar, Mario Guerrero, Joseph Suresh Paul, Manoj K. Sarma and M. Albert Thomas. "Comparison of Compressed Sensing Reconstruction for 3D Echo Planar Spectroscopic Imaging data using Total Variation and Statistically Optimized Perona-Malik Non-linear Diffusion." In Proceedings of the Joint Annual Meeting of ISMRM-ESMRMB, Paris, France, 2018 June. http://archive.ismrm.org/2018/3843.html

  • Ajin Joy and Joseph Suresh Paul. "A Rapid Non-Linear Diffusion Compressed Sensing MR Image Reconstruction for Optimization of Speed-Quality Tradeoff." In Proceedings of 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Hyderabad, India, 2018.

  • Ajin Joy and Joseph Suresh Paul. "Improving Image Quality and Convergence Rate of Perona-Malik Diffusion based Compressed Sensing MR Image Reconstruction by Gradient Correction." In Proceedings of 3rd International Conference on Computer Vision & Image Processing (CVIP), Jabalpur, India, 2018.

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