Sharif University of Technology

Spring 2007

Title: Medical Image Analysis and Processing (25-642)

Instructor: Emad Fatemizadeh

Location: EE New Building, Class Room 301

Lectures: Sunday and Tuesday (10:30-12:00)

Type: Graduated

Credits: 3

Prerequisites: Medical Imaging and  Digital Signal Processing (DSP)

Final Exam:

• Final :40%
• Homework: 20%
• Research Project: 20%
• Brief Project Presentation: 5%
• Medical Software: 15%

• Introduction to Digital Image Processing;
• Noise Reduction/Removal and Enhancement;
• Segmentation Methods (Supervised and Unsupervised);
• Certain Structure Extraction from Medical Images;
• Registration, Warping and their applications;
• Abnormality (Tumors) Detection Methods ;
• Multimodality Imaging and Special Processing;
• Automatic Landmark Extraction;
• Three Dimensional Imaging and Processing.

• T. S. Yoo, "Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis," 2004, AK Peters.
• L. Costaridou, "Medical Image Analysis Methods," 2005, CRC Press.
• J. Hanjal, D. Hawkes, and D. Hill, “Medical Image Registration,” 2001, CRC Press.
• Hong Yan, “Signal Processing for Magnetic Resonance Imaging and Spectroscopy”, Marcel Dekker (February 1, 2002).
• “Image Processing Techniques for Tumor Detection”, Marcel Dekker (February 1, 2002).
• M. Sonka and J.M. Fitzpatrick (Eds.), "Handbook of Medical Imaging (Vol.2): Medical Image Processing and Analysis", SPIE Press 2000.
• I.N. Bankman (Ed.), "Handbook of Medical Imaging: Processing and Analysis", Academic Press 2000.
• Top survey papers:
  • D. L. Pham, C. Xu, and J. L. Prince, “A Survey of current methods in medical image segmentation”
  • F. L. Bookstein, "Principal Warps: Thin-Plate Splines and the Decomposition of Deformations", IEEE trans. Pattern Analysis and Machine Intelligence, Vol. 11, No. 6, 1989.
  • L. G. Brown, A survey of image registration techniques, ACM Press, 1992.
  • J. B. Maintz and M. A. Viergever “A survey of medical image registration,” Med. Img. Anal., 1998.
  • T. Makela and etc., “A Review of Cardiac Image Registration Methods,” IEEE Trans. Med. Imag., 2002.
  • Dr. Hamid Soltanian-Zadeh Papers (Segmentation/Registration)
  • E. Fatemizadeh Papers (Registration)

• IEEE Transaction on Medical Imaging (TMI), IEEE Press
• Medical Image Analysis, Elsevier.
• Computerized Medical Imaging and Graphics (CMIG)
• IEEE Transaction on Biomedical Engineering. (TBE)
• IEEE Transaction on Image Processing (IP)
• IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), IEEE Press.
• Pattern Recognition, (Pergamon-Elsevier)
• Pattern Recognition Letters ( Elsevier)

• Homeworks

• Lecture Notes and Teaching papers:

  • Introduction to Medical Imaging Systems (For View and For Print)
  • Foundation of Digital Image Processing:
    • Fundamentals of Image Processing (For View and For Print)
    • Image Enhancement in Spatial Domain (For View and For Print) 
    • Image Enhancement in Frequency Domain (For View and For Print) 
    • Image Restoration (For View and For Print)
    • Image Segmentation (For View and For Print)
    • Morphological Image Processing (For View and For Print)
    • Representation and Description (For View and For Print)
  • Some Competitive Learning Methods
  • Fuzzy C-means Clustering
  • Review of MR Image segmentation technique using pattern recognition
  • MRI Segmentation: Methods and Application
  • A Survey of Current Methods in Medical Image Segmentation
  • Snake: Active Contour Models
  • Image Segmentation Using Deformable Model
  • Computer-Aided Detection and Diagnosis in Mammography
  • Computer Aided Detection (CAD) in Mammography
  • A Survey of Medical Image Registration
  • Image registration methods: a survey
  • Image Registration Lecture.pdf
  • Medical image registration
  • Survey: Interpolation Methods in Medical Image Processing
  • Mutual information based registration of medical images: a survey
  • Multimodality Image Registration by Maximization of Mutual Information
  • Multimodal volume registration by maximization of mutual information

• JAVA®  Implementation of Active Contour Model (Snake). Need for Java Virtual Machine or Microsoft Java Virtual Machine installed on your computer.

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