CORE

Medical Image Analysis

24CSE6145 · S6 · 4 credits

Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.

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Syllabus
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Modules
Module 01Introduction and Image Enhancement (8 hrs)expand

Basics of image processing – Digital image, Image resolution and Aspect ratio, Components of image processing. Computer Aided diagnosis system. Various modalities of biomedical imaging – Breast Cancer Imaging, mammographic imaging, Ultrasound imaging, MRI, functional imaging, Nuclear Imaging, CT Imaging, Positron imaging tomography, Ultrasonography. Image enhancement – Sources of Noise Spatial domain filters and Frequency domain filters.

Module 02Medical image restoration (8 hrs)expand

Image restoration, Degradation model, Estimation of degradation function, Blur model, Medical Image restoration – Inverse filter, Least square filter, Boundary value problem. Blur identification, Super resolution model, Applications.

Module 03Morphological Image processing (7 hrs)expand

Mathematical morphology, Morphological operators – Dilation and Erosion, Opening and Closing, Hit or miss transform, Thinning and Skeletonization, Convex Hull, Extension to grayscale images.

Module 04Image Segmentation (8 hrs)expand

Point detection, Line detection, Edge detection, Histogram based segmentation, Split and Merge method, Region growing method, Watershed method, k-means clustering method, Fractal method.

Module 05Feature recognition and Classification (6 hrs)expand

Connected components labeling, Features, Object recognition and classification, Statistical classification, structural/syntactic classification. Three-dimensional visualization - Surface rendering, Volume rendering, Virtual reality.

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