Medical Imaging

From Ioannis Kourouklides
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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[edit]

See Category:Medical Imaging for some of its subfields.

  • Modalities
    • Ultrasound (US) / Ultrasonography
    • Photoacoustic Tomography (PAT)
    • Magnetic Resonance Imaging (MRI)
    • Computed Tomography (CT)
    • Positron Emission Tomography (PET)

Online Courses[edit]

Video Lectures[edit]


Lecture Notes[edit]

Books[edit]

  • 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.

Scholarly Articles[edit]

  • Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., ... & Sánchez, C. I. (2017). A survey on deep learning in medical image analysis. Medical image analysis, 42, 60-88.

Software[edit]

  • 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
  • DLTK - Python
  • NiTime - Time-Series Analysis for Neuroscience in Python

See also[edit]

Other Resources[edit]