Basics of Medical Image Source, Medical Image Representation, Image Quality and Information Content, Operations In Intensity Space, Image Registration. Image Registration Methods Principal Axes Registration, Multiresolution Registration, Optimization-Based Registration, Boundary Registration , Model-Based Registration , Adaptive Registration

Image Fusion, Analysis of Texture, Analysis of Oriented Patterns, Image Reconstruction from Projections. Medical Image Fusion Local Weighted Voting ,MV Algorithm ,Global Weighted Voting , Semi-Local Weighted, Patch-Based Local Weighted Voting Segmentation Algorithm , Patch-Based Global Weighted Fusion Segmentation Algorithm

Removal of Artifacts, Image Enhancement, Detection of Regions of Interest, Deconvolution, Deblurring, And Restoration; Analysis Of Shape- Case studies in Computer Aided Diagnosis, CNN for medical image analysis. Case studies based on the latest advancements in Medical Image Processing : Detection, Segmentation, and Decision Making

Pre-Requisite(s): None
Course Type: Theory

Course Objectives

• The course introduces various modalities of medical imaging.
• Covers image processing algorithms specific for medical imaging such as registration and fusion.

Course Outcomes

CO1: Understand various medical imaging modalities.
CO2: Apply image registration techniques to medical images.
CO3: Apply image fusion algorithms to medical images.
CO4: Apply medical image analysis algorithms for Computer Aided Diagnosis.

CO-PO Mapping