BME I5000: Medical Imaging

Lucas C. Parra

Course overview and schedule:
Syllabus

Tutorials:
Linear Algebra: Open Course Work from MIT

Digital Signal Processing: graphic demonstrations in matlab
Short overview of geometric transforms.
Video series explaining basics of NMR/MRI technology.

Python:

Lectures:

  1. Introduction
  2. X-ray Imaging
  3. Intensity manipulations
  4. Computed Tomography
  5. 2D reconstruction from Projections
  6. Nuclear Imaging
  7. Maximum Likelihood Reconstruction
  8. Nuclear Magnetic Resonance
  9. Magnetic Resonance Imaging
  10. Fourier Transform Review
  11. Point Spread Function, Inverse Filtering,Wiener Filtering, Sharpening, ...
  12. Deep networks for image segmentation


Software:
Sample code for Keras: Jupyter notebook
Sample code and data for segmentation assignment google drive, zip file

Data: