Signal Processing for Medical Imaging
( 25 Modules )

Module #1
Introduction to Medical Imaging
Overview of medical imaging modalities and importance of signal processing

Module #2
Fundamentals of Signal Processing
Review of signal processing concepts:signals, systems, Fourier transform, convolution

Module #3
Medical Image Representation
Types of medical images, image formats, and data structures

Module #4
Image Filtering
Introduction to image filtering:spatial and frequency domain, filtering techniques

Module #5
Image Denoising
Noise models and noise reduction techniques:spatial, frequency, and wavelet-based

Module #6
Image Enhancement
Contrast and resolution enhancement techniques:histogram equalization, adaptive filtering

Module #7
Image Restoration
Image degradation models and restoration techniques:inverse filtering, Wiener filter

Module #8
Image Compression
Lossless and lossy compression techniques:Huffman coding, JPEG, JPEG-LS

Module #9
Medical Image Analysis
Introduction to medical image analysis:feature extraction, segmentation, registration

Module #10
Image Segmentation
Segmentation techniques:thresholding, edge detection, region growing, clustering

Module #11
Image Registration
Image registration techniques:rigid, affine, and non-rigid registration

Module #12
Feature Extraction
Feature extraction techniques:texture, shape, and intensity-based features

Module #13
Medical Image Classification
Introduction to medical image classification:supervised and unsupervised learning

Module #14
Machine Learning for Medical Imaging
Introduction to machine learning algorithms:SVM, k-NN, decision trees

Module #15
Deep Learning for Medical Imaging
Introduction to deep learning algorithms:CNN, U-Net, GAN

Module #16
Image Reconstruction
Image reconstruction from projections:CT, MRI, PET

Module #17
Magnetic Resonance Imaging (MRI)
MRI physics, sequences, and signal processing techniques

Module #18
Computed Tomography (CT)
CT physics, reconstruction algorithms, and signal processing techniques

Module #19
Positron Emission Tomography (PET)
PET physics, reconstruction algorithms, and signal processing techniques

Module #20
Ultrasound Imaging
Ultrasound physics, signal processing techniques, and image formation

Module #21
X-ray Imaging
X-ray physics, signal processing techniques, and image formation

Module #22
Mammography
Mammography physics, signal processing techniques, and image analysis

Module #23
Image Fusion and Multimodal Imaging
Image fusion techniques and multimodal imaging applications

Module #24
Medical Image Processing Pipelines
Designing and implementing medical image processing pipelines

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

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Signal Processing for Medical Imaging ( 25 Modules )

Signal Processing for Medical Imaging
( 25 Modules )