Medical Imaging



This page contains resources about Medical Imaging ,Medical Image Computing or Medical Image Analysis and Biomedical Engineering.

More specific information is included in each subfield.

Subfields and Concepts
See Category:Medical Imaging for some of its subfields.

Video Lectures

 * Principles of MRI by Michael Lustig
 * Lecture 12: Medical Imaging Computing by Ron Kikinis
 * Lecture 20: Bioimaging by Mark Saltzman
 * Lecture: Machine Learning meets Medical Imaging by Daniel Rueckert

Lecture Notes

 * Principles of Medical Imaging by David Cory
 * Introduction to Medical Imaging by Klaus Mueller
 * Algorithms for Medical Image Processing by Jing Yuan
 * Machine Learning for Medical Image Analysis by Antonio Criminisi

Books

 * Bankman, I. (Ed.). (2008). Handbook of Medical Image Processing and Analysis. Academic Press.
 * Dhawan, A. P. (2011). Medical image analysis (Vol. 31). John Wiley & Sons.
 * Toennies, K. D. (2012). Guide to medical image analysis: methods and algorithms. Springer.
 * Criminisi, A., & Shotton, J. (2013). Decision Forests for Computer Vision and Medical Image Analysis. Springer.

Software

 * ITK -  cross-platform, open-source software in C++
 * ITK-SNAP - image segmentation (mainly for CT and MR data)
 * Tools for NIfTI - MATLAB
 * PyNIfTI - Python
 * Niftilib - C, JAVA, Python and MATLAB
 * MITK - open source software in C++
 * CTK - The Common Toolkit (C++)
 * medInria - multi-platforma, open-source software (2D/3D/4D visualization)
 * NifTK - combining NiftyReg, NiftySim, NiftyRec and NiftySeg

Other Resources

 * Medical Image Analysis in R
 * Medical Imaging in HTM wiki
 * Medical Imaging wiki
 * MICCAI Society - Medical Image Computing and Computer Assisted Intervention Society