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:
- Basic Python Intro
- Editors
- We recommend Spyder or Pycharm as introductory editors, but additional information on editors is available here
- Datacamp Courses:
- Python Packages:
Lectures:
- Introduction
- X-ray Imaging
- Intensity manipulations
- Computed Tomography
- 2D reconstruction from Projections
- Nuclear Imaging
- Maximum Likelihood Reconstruction
- Nuclear Magnetic Resonance
- Magnetic Resonance Imaging
- Fourier Transform Review
- Point Spread Function, Inverse Filtering,Wiener Filtering, Sharpening, ...
- Deep networks for image segmentation
Software:
Sample code for Keras: Jupyter notebook
Sample code and data for segmentation assignment google drive, zip file
Data: