Course Description

Medical image processing and analysis involves applying advanced computational techniques to medical images, such as X-rays, MRIs, and CT scans. Through sophisticated algorithms, these images are enhanced, segmented, quantified, and registered to extract and relate meaningful information. Researchers and clinicians use these methods for tasks like tumor detection, organ segmentation, multi-modal registration, disease diagnosis. By harnessing the power of image processing, we unlock valuable insights that aid in patient care, treatment planning, and medical research.


  • A Review on Digital Image Processing
    • Advanced Methods in Medical Image Noise Removal
    • Non Local Mean (NLM)
    • Nonlinear Anisotropic Diffusion Filtering
    • Total Variation
    • Wavelet Denoising
    • Sparse Image Denoising
    • AI Tools
  • Advanced Methods in Medical Image Segmentation:
    • Statistical Methods (GMM, PNN, MLP, …)
    • Region Based
    • Parametric and Geometric Deformable Models
    • AI Tools
  • Medical Image Registration:
    • Feature Based
    • Voxel Based
    • AI Tools
    • Medical Image Interpolation


  • Lecture Notes (Update Annually)
  • Advances in Deep Learning for Medical Image Analysis, A. Mire, V. Elangovan, , Sh. Patil, CRC Press (2022)
  • Principles and Advanced Methods in Medical Imaging and Image Analysis, A. P. Dhawan, H.K. Huang, and D. S. Kim, World Scientific Publishing Company (2008)
  • Biomedical Image Processing, Thomas M. Deserno (Editor), Springer-Verlag (2011)
  • Medical Image Processing-Techniques and Applications, G. Dougherty, Springer-Verlag (2011)
  • Advanced Biomedical Image Analysis, M. A. Haidekker, Wiley (2011)
  • Biomedical Images Analysis, R. M. Rangayyan, CRC Press (2005)
  • Handbook of Biomedical Image Analysis (3 Volumes), J. S. Suri, D. L. Wilson, and S. Laxaminarayan, Kluwer Academic/Plenum Publishers (2005).
  • Mathematical Models for Registration and Applications to Medical Imaging, O. Scherzer, Springer-Verlag (2006)
  • Medical Image Analysis Methods, L. Costaridou, CRC Press (2005)
  • Guide to Medical Image Analysis: Methods and Algorithms, K. D. Toennies, Springer-Verlag (2017)
  • Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis, By: T. S. Yoo, CRC Press (2004)
  • Medical Image Processing, Reconstruction and Restoration: Concepts and Methods, J. Jan, CRC Press (2005)
  • 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications, A. A. Goshtasby, Wiley (2005)
  • Theory and Applications of Image Registration, A. A. Goshtasby, Wiley (2017)
  • Medical Image Registration, J. Hanjal, D. Hawkes, and D. Hill, CRC Press (2001).
  • Handbook of Medical Image Processing and Analysis, I. N. Bankman, Academic Press (2008)
  • Handbook of Medical Imaging – Processing and Analysis, I. N. Bankman, Academic Press (2000)
  • Pattern Recognition for Medical Imaging, A. Meyer-Base, Academic Press (2004)
  • Image Processing Techniques for Tumor Detection, M. Dekker, CRC Press (2002).
  • Top Hot Papers

Lecture Videos (as taught 1400-1401-1):