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Joseph Suresh Paul

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Dr. Joseph Suresh Paul

Professor, Chief Vigilance Officer

Paul graduated in Electrical Engineering with distinction from the University of Calicut, Kerala, India, in 1987 and received Master’s (1992) and Doctoral degree (2000) in Electrical Engineering from the Indian Institute of Technology, Madras, India. He held Postdoctoral position at the Johns Hopkins University School of Medicine, Baltimore, MD, USA and faculty positions at the National University of Singapore and the University of New South Wales, Sydney, Australia. He is currently a Professor with the Medical Image Computing and Signal Processing Group, Digital University Kerala (Former IIITM-K), Thiruvananthapuram, India.

His current interests include compressed sensing, image reconstruction for parallel MRI, and image processing for diagnostic applications.

Areas of Interest

  • MR Imaging
  • Acquisition
  • Novel Sequences
  • Medical Signal Processing

Research Focus of Medical Image Computing Group

  • Our research is mainly focused on the key areas of Parallel Imaging, Compressed Sensing and Image Reconstruction. For details, please refer to www.iiitmk.ac.in/MedImagCompLab/ . For a quick survey, some of the important aspects of the nature of our work are:
  • Exploration of the applications of machine learning and signal processing ideas for conceptual advancements of parallel imaging, compressive sensing and other reconstruction techniques currently used in MR technology within and outside of clinical practice.
  • Exploration of newer, computationally cheaper and user friendly modifications of advanced reconstruction due particularly to the remarkable improvements in image quality and speed evolved directly from technological advances in the construction of high-field superconducting magnets and design improvements in electronics to easily maneuver magnetic field gradients.
  • Input to our research is founded on problems facing clinician scientists at the department of imaging sciences, Sree Chitra Tirunal Institute for Medical Sciences and Technology.
  • Tools for image reconstruction and post-processing are developed in tandem with models and ideas expounded by topical experts at GE Bangalore and overseas.

Previous Employment and Academic Positions Held

  • Engineer Trainee, Indian Telephone Industries Bangalore, Transmission R&D, 1987-1990
  • Asst Exec. Engineer, Indian Telephone Industries Bangalore, Transmission R&D, 1992-1995
  • Post Doctoral Fellow, Purdue School of Engg, 1999-2000
  • Post Doctoral Fellow, Johns Hopkins University, 2000-2002
  • Asst. Professor, National University of Singapore, 2002-2004
  • Image Analyst, MRI Unit, National Society for Epilepsy, Chalfont St.Peter, UK, 2004-2005
  • fMRI Scientist, Wellcome Trust for Neuro Imaging, University College London, 2005-2006
  • Associate Scientist, UC Irvine, 2006-2007
  • Lecturer, Graduate School of Biomedical Engg, UNSW, Sydney, 2007- Dec 20 2010

Teaching

  • Soft Computing
  • Digital Image Processing
  • Principles of Programming

Administration

  • Research Convener and Coordinator for International Collaboration
  • External Project Students Co-ordinator, Chairman of Curriculum Revision Committee

Recent Publications List (Last 5 years)

  • JOY (A), JACOB (M), PAUL (JS), Directionality Guided Non-Linear Diffusion Compressed Sensing MR Image Reconstruction, Magnetic Resonance in Medicine 82 (6), 2326-2342, 2019
  • MADHUSOODHANAN (S), KESAVADAS (C), PAUL (JS), SWI post processing using granularity controlled edge‐preserved denoising of multichannel GRE images, International Journal of Imaging Systems and Technology 29 (3), 311-322, 2019
  • MADHUSOODHANAN (S), KESAVADAS (C), PAUL (JS), SWI Processing using a Local Phase Difference Modulated Venous Enhancement Filter with Noise Compensation, Magnetic Resonance Imaging 59, 17-30, 2019
  • MATHEW (JJ), JAMES (A), KESAVADAS (C), PAUL (JS), Diffusion Sensitivity Enhancement Filter for Raw Diffusion Weighted Images, IET Computer Vision 12(7), 950-956, 2018
  • JOY (A), PAUL (JS), A mixed‐order nonlinear diffusion compressed sensing MR image reconstruction, Magnetic resonance in medicine 80.5; 2215-2222, Nov 2018
  • MATHEW (RS), PAUL (JS), Sparsity promoting adaptive regularization for Compressed Sensing Parallel MRI, IEEE Transactions on Computational Imaging 4(1):147-59; Mar 2018
  • JOY (A), PAUL (JS), Multichannel compressed sensing MR image reconstruction using statistically optimized nonlinear diffusion, Magnetic resonance in medicine 78(2):754-762; Aug 2017
  • MATHEW (RS), PAUL (JS), A Frequency-Dependent Regularization for Autocalibrating Parallel MRI Using the Generalized Discrepancy Principle, IEEE Transactions on Computational Imaging 3(4):891-900; May 2017
  • KRISHNAN (AP), JOY (A), PAUL (JS), Improved image reconstruction of low-resolution multichannel phase contrast angiography, Journal of Medical Imaging 3(1):014001; Jan 2016
  • MADHUSOODHANAN (S), PAUL (JS), A quantitative survey of GRAPPA reconstruction in parallel MRI: impact on noise reduction and aliasing, Concepts in Magnetic Resonance Part A 44.6; 287-305, 2016
  • MATHEW (RS), PAUL (JS), Improving image quality in low SNR parallel acquisition using a weighted least squares GRAPPA reconstruction, J Interv Radiol ImagingImaging in Medicine 8, no.2; 16-22, 2016
  • PAUL (JS), PILLAI (UK), A higher dimensional homodyne filter for phase sensitive partial Fourier reconstruction of MRI, Magnetic resonance imaging 33(9):1114-25; Nov 2015

Conference Publications

  • A.P.Krishnan; A.Joy; J.S Paul. Improved image reconstruction of low-resolution multichannel phase contrast angiography. J. Med. Imag. 3 (1), 014001 (January 22, 2016); doi:10.1117/1.JMI.3.1.014001
  • JS. Paul , UKS.Pillai, A Higher dimensional homodyne filter for phase sensitive partial Fourier reconstruction of MRI, Magnetic Resonance Imaging. (2015).
  • J. S. Paul, M. Prasad, R. Venkatesan and M. Braun, “Magnetic Resonance Scan Time Reduction using Echo Prediction”, Int. J. of Imaging Syst. and Technology, vol 23, no.1, pp. 1-8, 2013.
  • J. S. Paul, U. K. S. Pillai , “Application of Linear Prediction for Phase and Magnitude Correction in Partially acquired MRI”, ISRN Biomedical Imaging, http://dx.doi.org/10.1155/2013/826508
  • J. S. Paul and U. K. S. Pillai, “Causal Echo Model Based Restoration of Localized Features in Partially Acquired MRI”, Journal of Medical Imaging and Health Informatics (under review)
  • U. K. S. Pillai, S. Sreekantan, and J. S. Paul, “A Bi-directional Homodyne Filter for Partial Fourier Reconstruction in MRI”, Journal of Biomedical Engineering Society of India (under review)
  • J. S. Paul, U. K. S. Pillai, U. B. Krishnamurthy, C. Kesavadas, J. Neelavalli and E. M. Haacke, “A combined tissue and venous contrast enhancement filter for SWI”, IEEE Transactions on Medical Imaging (under review)
  • U. K. S. Pillai , N. Thomas, C. Kesavadas, and J. S. Paul, “Image reconstruction for rapid imaging using sparsely sampled radial acquisition in MRI”, National Conference on Pattern Analysis and Applied Intelligence, 2013.
  • Souparnika N. K., D. S. Jacob, J. J. Mathew, and J. S. Paul, “A region growing approach using a connected tree path search algorithm”, National Conference on Pattern Analysis and Applied Intelligence, 2013.
  • U. K. S. Pillai, C. Kesavadas , and J. S. Paul, “Partial Fourier Reconstruction Using Subspace Projection”, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics 2013(accepted).
  • J. S. Paul, U. K. S. Pillai, U. B. Krishnamurthy, C. Kesavadas and J. Neelavalli, “Venous Contrast Filtering for Partially Acquired High Resolution SWI”, ISMRM 2014 (under review)
  • JOY (A), PAUL (JS), A Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction, In Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), December, 2018.
  • JOY (A), PAUL (JS), Improving Image Quality and Convergence Rate of Perona-Malik Diffusion based Compressed Sensing MR Image Reconstruction by Gradient Correction, In Proceedings of the 3rd International Conference on Computer Vision & Image Processing (CVIP), September, 2018.
  • MATHEW (RS), PAUL (JS), A Quantitative Comparison on the Role of Parameter Selection for Regularization in GRAPPA Based Autocalibrating Parallel MRI, In Proceedings of the 3rd International Conference on Computer Vision & Image Processing (CVIP), September, 2018.
  • MADHUSOODHANAN (S), PAUL (JS), On the Choice of Coil Combination Weights for Phase-Sensitive GRAPPA Reconstruction in Multichannel SWI, Springer 1022; 109-118; Nov 2019
  • SAUCEDO (A), JOY (A), DAAR (ES), GUERRERO (M), PAUL (JS), SARMA (MK), THOMAS (MA), 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 ISMRM, June, 2018.
  • MATHEW (RS), PAUL (JS), Combination of global and nonlocal sparse regularization priors for MR image reconstruction, In TENCON 2019-2019 IEEE Region 10 Conference (TENCON) 2019 Oct 17 (pp. 2680-2684) IEEE.
  • MADHUSOODHANAN (S), PAUL (JS), A Phase Noise Correction Scheme for Multi-channel Multi-echo SWI processing, In Proceedings of the 2rd International Conference on Machine Intelligence and signal processing (MISP), September, 2019.
  • MATHEW (RS), PAUL (JS), Adaptive Fast Composite Splitting Algorithm for MR Image Reconstruction, In Proceedings of the 2rd International Conference on Machine Intelligence and signal processing (MISP), September, 2019.

Books

  • PAUL (JS), MATHEW (RS), RENJITH (MS), Theory of Parallel MRI and Cartesian SENSE Reconstruction: Highlight, Medical Imaging in Clinical Applications, Springer 651; 311-328; 2016
  • PAUL (JS), MATHEW (RS), Regularized Image Reconstruction in Parallel MRI with MATLAB. CRC Press; 2019.
  • PAUL (JS), RAVEENDRAN (SG), Understanding Phase Contrast MR Angiography: A practical approach with MATLAB examples. Springer Books. 2016