Course Details
Subject {L-T-P / C} : BM3604 : Medical Imaging and Image Processing { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Dr. Bala Chakravarthy Neelapu
Syllabus
Medical imaging systems: X-rays based imaging systems, Gamma-rays based imaging systems, Ultrasound based imaging systems, MRI imaging
Fundamentals of digital image processing: Components of an image processing system, Digital image representation, Digital images, Applications of image processing
Image transforms: 2D-DFT, 2D-DCT, 2D-DST, Hadamard transform, Haar transform, Walsh transform
Image enhancement in spatial domain: Point processing (Identity transformation, Image negative, Brightness and contrast modification, log transformation, Power law transformation, Contrast stretching, Intensity level slicing, Bit plane slicing, Histogram processing), Local enhancement, Multi-image operation (Image substraction, Image addition, Boolean operation), Spatial filtering
Image enhancement in frequency domain: Smoothing filters, Sharpening filters, Unsharp masking, High boost filtering, Homomorphic filtering, Notch filters
Image restoration: Image degradation/ restoration model, Image noises,
Image compression: Lossless compression schemes, Lossy compression schemes, Image denoising
Image segmentation: Edge based segmentation, Threshold based segmentation, Region based segmentation, Clustering techniques, Watershed algorithm
Colour image processing: Colour spaces, Pseudo-colour image processing, Full Colour image processing
Applications of image processing in medical industries
Course Objectives
- To learn the basic fundamentals of medical imaging systems
- To learn the basics of digital image processing techniques
- To have an understanding on the application of digital image processing techniques on medical images
Course Outcomes
At the end of the course, the students will be able to: <br />1. Successfully explain the basics of different medical imaging systems <br />2. Explain the fundamental concepts of digital image processing, including color image processing <br />3. Apply image transformation techniques to the digital images <br />4. Apply image enhancement, image restoration, image compression, and image segmentation techniques to the digital images <br />5. Explain the applications of image processing in medical industries
Essential Reading
- W. Birkfellner, Applied Medical Image Processing: A Basic Course, CRC Press , Second Edition, 2014
- I. Bankman, Handbook of Medical Image Processing and Analysis, Academic Press , Second Edition, 2008
Supplementary Reading
- R. C. Gonzalez, Digital Image Processing, Pearson Education India , Third Edition, 2013
- S. Jayaraman, T. Veerakumar, S. Esakkirajan, Digital Image Processing, McGraw Hill Education , 2017