DS4202 Biomedical Image Processing Syllabus:
DS4202 Biomedical Image Processing Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To provide fundamental information about various medical imaging modalities
To understand the basic concepts of image enhancement, image restoration, morphological image processing, image segmentation, feature recognition in medical images
To provide information about classification and image visualization in medical image processing projects
To familiarize the student with the image processing facilities in MATLAB and its equivalent open sourcetools
To develop computational methods and algorithms to analyze and quantify biomedical data
UNIT I BASICS OF BIOMEDICAL IMAGE PROCESSING
Objectives of biomedical image analysis – Computer aided diagnosis – Nature of medical images: Xray imaging – Tomography – Nuclear medicine imaging – SPECT imaging – Positron imaging tomography – Ultrasonography – Magnetic resonance imaging. Removal of artifacts – Spatial domain filters – Frequency domain filters – Adaptive filters.
UNIT II IMAGE STORAGE AND RECONSTRUCTION
Medical Image Storage, Archiving and Communication Systems and Formats Picture archiving and communication system (PACS); Formats: DICOM Radiology Information Systems (RIS) and Hospital Information Systems (HIS). Mathematical preliminaries and basic reconstruction methods, Radiology The electromagnetic spectrum – Image reconstruction in CT scanners, SMRI, fMRI.
UNIT III SEGMENTATION AND CLASSIFICATION
Medical Image Segmentation – Histogram-based methods; Region growing and watersheds; Markov Random Field models; active contours; model-based segmentation. Multi-scale segmentation; semiautomated methods; clustering-based methods; classification-based methods; atlas-guided approaches; multi-model segmentation. Medical Image Registration Intensity-based methods; cost functions; optimization techniques.
UNIT IV IMAGE REGISTRATION AND VISUALIZATION
Image registration: Rigid body transformation, Affine transformation, Principal axes registration, Interactive principal axes registration, Image landmarks and Feature based registration, weighted feature based registration, Elastic deformation based registration, Image visualization – 2D display methods, 3D display methods, Surface Visualization, Volume Visualization, Virtual reality based interactive visualization
UNIT V NUCLEAR IMAGING
PET and SPECT Ultrasound Imaging methods; mathematical principles; resolution; noise effect; 3D imaging; positron emission tomography; single photon emission tomography; ultrasound imaging; applications. Medical Image Search and Retrieval Current technology in medical image search, content-based image retrieval, Other Applications of Medical Imaging Validation, Image Guided Surgery, Image Guided Therapy, Computer Aided Diagnosis/Diagnostic Support Systems.
COURSE OUTCOMES:
CO1:Implement basic medical image processing algorithms
CO2:Familiar with the use of MATLAB and its equivalent open source tools
CO3:Design and implement image processing applications that incorporates different concepts of medical Image Processing
CO4:Critically analyze different approaches to implement mini projects in medical domain
CO5:Explore the possibility of applying Image processing concepts in modern hospitals
TOTAL:45 PERIODS
REFERENCES
1. Atam P.Dhawan, “Medical Image Analysis’, Wiley Interscience Publication, 2nd Edition, 2011
2. Geoff Dougherty, “Digital Image Processing for Medical Applications”, Cambridge University Press, 2010.
3. Alfred Horowitz, ‘MRI Physics for Radiologists – A Visual Approach’,Secondedition Springer Verlag Network,1995.
4. Kavyan Najarian and Robert Splerstor,” Biomedical signals and Image processing”,CRC – Taylor and Francis, New York, 2012
5. John L. Semmlow, ”Biosignal and Biomedical Image Processing Matlab Based applications” Marcel Dekker Inc., NewYork, 2004
6. Milan Sonka etaI, “Image Processing, Analysis and Machine Vision”, Brooks/Cole, Vikas Publishing House, 3rd edition, 2007.
7. Wolfgang Birk fellner, “Applied Medical Image Processing – A Basic course”, RC Press, 2011.
8. Paul Suetens, “Fundamentals of Medical Imaging”, Second Edition, Cambridge University Press, 2009.
9. J.Michael Fitzpatrick and Milan Sonka, “Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis”, SPIE Publications,2009.