Biomedical Image Processing
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Follow on Instagram for UpdatesBiomedical Image Processing Syllabus — Unit-wise Content
The official GTU curriculum for Biomedical Image Processing (subject code 2723103) as prescribed for BE · Semester 2 divides the course into 5 units, covering 7 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2723103)Unit 1 Introduction - Driving problems in biomedical imaging -
- Sources of imaging data: acquisition and noise - Elementary image processing
Unit 2 Edge detection and active snakes - Intensity-driven methods
- Markov random fields - Graph cut algorithms for image segmentation - Shape-driven methods: active shape/appearance models
- problems of correspondence - Level set methods - Skeletonization and medial methods
Unit 3 Hands-on introduction to Image registration - Geometric
- mappings - Numerical methods and optimization in registration - Parametric deformable registration - Non-parametric deformable registration - Image match metrics in registration – Applications
Unit 4 Introduction to functional Neuroimaging - Hypothesis testing
- and statistical mapping
- permutation tests - Cortical surface segmentation and flattening - Diffusion tensor imaging
Unit 5 Biomedical image analysis using MATLAB – Image registration
- – unaided and Interactive – Segmentation – Edge detection – Real time imaging applications
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