Online Certificate Course in Medical Digital Image Processing

Bio-Medical Image Processing has become a major aspect of engineering sciences and radiology has become a dominant player in the medical field. This field has been an interdisciplinary research field incorporating applied mathematics, computer sciences, engineering, statistics, physics, biology, and medicine. More challenges arise with the new development of high technology and the use of various imaging modalities.  Way of processing and analyzing a significant volume of images is important, leading to high-quality information for disease diagnoses and treatment.  Computer-aided diagnostic processing has already become an important part of the clinical routine. With the increasing use of direct digital imaging systems for medical diagnostics, digital image processing becomes more and more important in health care. This course is particularly important for knowing the introduction to basic concepts and techniques for medical image processing and to promote interest for further study and research in medical imaging processing. It will aid the participants to do research work in this area and as well as state of art techniques.

Imaging science is experiencing tremendous growth in all over the world. Digital medical imaging and its analysis are fundamental to understanding, visualizing, and quantifying medical images in clinical applications. With the help of automated and quantitative image analysis techniques, disease diagnosis will be easier/faster and more accurate and leading to significant development in medicine in general. The goal of this course is to help students develop skills in computational radiology, radiological image analysis, and biomedical image processing fields.

This course gives an overview of medical image formation, enhancement, segmentation, analysis, visualization, and communication with many examples from medical applications. It starts with a brief introduction to medical imaging modalities and acquisition systems. As a focus, image enhancement techniques, segmentation, registration, texture analysis, DICOM and their application in diagnostic imaging will be discussed. To complete this overview, storage, retrieval, and communication of medical images are also introduced.

  • identify major processes involved in formation of medical images
  • recognize the imaging modality from their visualization
  • classify the various medical image processing algorithms
  • describe fundamental methods of image enhancement, segmentation, and registration
  • enhance medical images using appropriate software
  • visualize all types of medical image data
  • appraise efficacy and drawbacks of several techniques of image segmentation
  • get familiar with the fundamental concepts of texture analysis
  • explain the basic principles of medical image communication
    • Introduction (Structure of images, image types, programming environments (Matlab/Octave, Python)
    • Image Enhancement
    • Segmentation Part I
    • Segmentation Part II
    • Segmentation Part III
    • Feature Extraction & Classification
    • Image Registration
    • Color Image Processing
    • Hyperspectral Image Processing
    • DICOM
    • Medical Image Sources
    • Applied Medical Image Processing

     

    Date and Time

    Topics

    27 August 2021 (Friday), 4 PM to 6 PM (BST)

    Introduction (Structure of images, image types, programming environments (Matlab/Octave, Python)

    3 September 2021 (Friday), 4 PM to 6 PM (BST)

    Image Enhancement

     

    10 September 2021 (Friday), 4 PM to 6 PM (BST)

    Segmentation Part I

    17 September 2021 (Friday), 4 PM to 6 PM (BST)

    Segmentation Part II

    24 September 2021 (Friday), 4 PM to 6 PM (BST)

    Segmentation Part III

    1 October 2021 (Friday), 4 PM to 6 PM (BST)

    Feature Extraction & Classification

    8 October 2021 (Friday), 4 PM to 6 PM (BST)

    Image Registration

    15 October 2021 (Friday), 4 PM to 6 PM (BST)

    Color Image Processing

    22 October 2021 (Friday), 4 PM to 6 PM (BST)

    Hyperspectral Image Processing

    29 October 2021 (Friday), 4 PM to 6 PM (BST)

    DICOM

    5 November 2021 (Friday), 4 PM to 6 PM (BST)

    Medical Image Sources

    12 November 2021 (Friday), 4 PM to 6 PM (BST)

    Applied Medical Image Processing

    Self-Study

    19 November 2021 (Friday), 4 PM to 5 PM (BST)

    Online Examination

    20 November 2021

    Evaluation form distribution

    21-25 November, 2021

    Certificate distribution

    Call for Registration 1 August, 2021
    Registration Deadline: 15 August, 2021
    Announcement of Selected Students: 21 August, 2021
    Course Fee 5000 BDT, 59 USD
    Seat Capacity 30
    Duration 3 months, 27 August 2021 – 12 November 2021
    Date and time Every Friday, 4 PM – 6 PM (BST); GMT 10 PM -12 PM
    Total no of class: 12 Classes, 24 hours
    One examination 1 hour, 19 November 2021
    Intended Audience (National and International)
    • Students: CSE, EEE, BME
    • Radiographers
    • Medical Physicists
    • Scientists, biomedical researchers
    • Engineering, Medical faculty members
    • Managers who need a basic understanding of medical image processing technologies and methods