Image Processing in Medical Imaging
( 25 Modules )

Module #1
Introduction to Medical Imaging
Overview of medical imaging modalities, importance of image processing in medical imaging, and course objectives

Module #2
Fundamentals of Digital Image Processing
Basic concepts of digital image processing, including image representation, spatial and frequency domains

Module #3
Image Acquisition in Medical Imaging
Overview of different medical imaging modalities, including X-ray, CT, MRI, Ultrasound, and PET

Module #4
Image Enhancement Techniques
Introduction to image enhancement techniques, including contrast stretching, filtering, and histogram equalization

Module #5
Noise Reduction Techniques
Introduction to noise reduction techniques, including filtering, thresholding, and denoising algorithms

Module #6
Image Filtering
Types of image filters, including linear, nonlinear, and spatial filters

Module #7
Image Restoration
Introduction to image restoration techniques, including inverse filtering and blind deconvolution

Module #8
Morphological Operations
Introduction to morphological operations, including erosion, dilation, opening, and closing

Module #9
Image Segmentation
Introduction to image segmentation techniques, including thresholding, edge detection, and region growing

Module #10
Edge Detection
Introduction to edge detection techniques, including gradient operators and Laplacian of Gaussian

Module #11
Feature Extraction
Introduction to feature extraction techniques, including shape, texture, and intensity features

Module #12
Image Registration
Introduction to image registration techniques, including rigid, affine, and non-rigid registration

Module #13
Image Fusion
Introduction to image fusion techniques, including multi-modality fusion and feature-based fusion

Module #14
Pattern Recognition in Medical Imaging
Introduction to pattern recognition techniques, including classification, clustering, and neural networks

Module #15
Medical Image Analysis
Introduction to medical image analysis, including lesion detection, quantification, and biomarker extraction

Module #16
Computer-Aided Diagnosis (CAD)
Introduction to CAD systems, including design, development, and evaluation of CAD systems

Module #17
Image Compression in Medical Imaging
Introduction to image compression techniques, including lossless and lossy compression

Module #18
Medical Image Databases and Retrieval
Introduction to medical image databases, including data storage, querying, and retrieval

Module #19
Image Processing for Specific Medical Applications
Image processing for specific medical applications, including cancer diagnosis, neuroimaging, and cardiovascular imaging

Module #20
Validation and Evaluation of Image Processing Algorithms
Introduction to validation and evaluation techniques for image processing algorithms, including metrics and benchmarks

Module #21
Clinical Applications of Image Processing
Clinical applications of image processing, including image-guided interventions and personalized medicine

Module #22
Medical Imaging Informatics
Introduction to medical imaging informatics, including image analysis, interpretation, and decision support systems

Module #23
Ethical and Regulatory Considerations
Ethical and regulatory considerations in medical image processing, including data privacy and security

Module #24
Future Directions in Medical Image Processing
Future directions in medical image processing, including AI, machine learning, and deep learning

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Image Processing in Medical Imaging career

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Image Processing in Medical Imaging ( 25 Modules )

Image Processing in Medical Imaging
( 25 Modules )