Matlab toolboxes for medical image analysis

Application

Image registration and segmentation, diffusion-MRI reconstruction and tractography, tissue thickness measurement, etc.

Contributors

Iman Aganj1

Estimated cost

Free

Progress

Stable release (BSD-3-Clause)

These tools are useful for the following neuro- and biomedical image processing and analyses:

  • Reconstruction of fiber orientation (a.k.a. orientation distribution function in constant solid angle – CSA ODF) from diffusion-MRI data.
  • Hough-transform tractography from reconstructed ODFs and brain connectivity quantification.
  • ODF and tract visualization and exportation for connectomic analysis.
  • Structural brain connectivity computation using a conductance model.
  • Aligning the diffusion-MRI gradient table with image coordinates.
  • Tissue thickness computation.
  • MRI image fusion and super-resolution using wavelets.
  • Deformable registration of medical images using a mid-space-independent algorithm.
  • Rigid registration of multimodal images guided by segmentation.
  • Unsupervised medical image segmentation based on the local center of mass.
  • Supervised medical image segmentation via expected-label-value computation

Publications

Affiliations

1Massachusetts General Hospital, Harvard Medical School, USA

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