Lectures

L01 Introduction (49 min)

Unit 1: Basic Image Processing (notes)

L02 Images in Matlab (33 min)

L03 Spatial Transformations (68 min)

L04 Fourier Series (27 min)

L05 Fourier Transform (27 min)

L06 Convolution (27 min)

L07 Sampling Theory (21 min)

L08 Aliasing (27 min)

L09 Properties of the Fourier Transform (76 min)

L10 Interpolation (64 min)

Unit 2: Medical Imaging Modalities (notes)

L11 Modalities (2 min)

L12 X-Ray (42 min)

L13 Computed Tomography (34 min)

L14 Positron Emission Tomography (25 min)

L15 Ultrasound (30 min)

L16 MRI Physics (34 min)

L17 MR Imaging (39 min)

L18 Properties of MRI (55 min)

Unit 3: Image Enhancement (notes)

L19 Contrast Enhancement (16 min)

L20 Denoising (56 min)

L21 Deblurring (50 min)

L22 Edge Detection (17 min)

L23 Derivatives and Fourier Theory (31 min)

L24 Anisotropic Diffusion (44 min)

Unit 4: Image Registration (notes)

L25 Introduction to Image Registration (33 min)

L26 Correlation (20 min)

L27 Least Squares (48 min)

L28 Transform-Based Registration (22 min)

L29 Tricks with Transform Registration (41 min)

L30 Joint Entropy (40 min)

L31 Mutual Information (37 min)

L32 Binning Discontinuities (23 min)

L33 Registration Optimization (39 min)

L34 Registration by Clustering (65 min)

L35 Ensemble Registration (31 min)

L36 Gaussian Mixture Models (32 min)

Unit 5: Image Segmentation (notes)

L37 Introduction to Image Segmentation (10 min)

L38 Region Growing (24 min)

L39 k-Means Clustering (28 min)

L40 Snakes (80 min)

L41 Introduction to Level Sets (26 min)

L42 Speed Functions (27 min)

L43 Implementing Level Sets (56 min)

Unit 6: Medical Image Reconstruction (notes)

L44 Theory of MRI Reconstruction (53 min)

L45 MRI Motion Compensation (55 min)

L46 Algebraic CT Reconstruction (24 min)

L47 CT Filtered Backprojection (34 min)

Download and print the notes, and fill in the blanks while watching the lessons.

Note: The sound quality improves after the first few lessons.

If you want to run the Matlab demonstrations, download the code here.

code.zip - This contains the demonstration scripts themselves, as well as sample image data used by the scripts.

Let me know if any of the links are broken.