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Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. Author: Demian Wassermann, SPL, LMI, PNL, Brigham and Women's Hospital, Harvard Medical School Contact: Demian Wassermann,

Surgical Planning Laboratory   NAC

Module Description

Performs a mask calculation from a diffusion weighted (DW) image.

Starting from a dw image, this module computes the baseline image averaging all the images without diffusion weighting and then applies the otsu segmentation algorithm in order to produce a mask. this mask can then be used when estimating the diffusion tensor (dt) image, not to estimate tensors all over the volume.

Use Cases

Most frequently used for these scenarios:

• Use Case 1:
• Use Case 2:

Tutorials

Links to tutorials that use this module

Panels and their use

Parameters:

• IO
  • Input DWI Volume: Input DWI volume
  • Output Baseline Volume: Estimated baseline volume
  • Otsu Threshold Mask: Otsu Threshold Mask
• '
  • Otsu Omega Threshold Parameter: Control the sharpness of the threshold in the Otsu computation. 0: lower threshold, 1: higher threhold
  • Remove Islands in Threshold Mask: Remove Islands in Threshold Mask?

Similar Modules

• Point to other modules that have similar functionality

References

Publications related to this module go here. Links to pdfs would be useful. For extensions: link to the source code repository and additional documentation

Information for Developers

Section under construction.