TubeTK/Documentation/ComputeTortuosity: Difference between revisions

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== Documentation ==
== Documentation ==
Measuring the tortuosity of vessels using Distance Metric, Inflection Count Metric and Sum Of Angles Metric methods.
*Command line to measure the tortuosity of vessels using Distance Metric, Inflection Count Metric and Sum Of Angles Metric methods.
Right now, only the distance metric method is implemented.
*For more informations about the methods, please visit [http://www.kitware.com/publications/item/view/1123 Measuring Tortuosity of the Intracerebral Vasculature from MRA Images] (Informations about the methods used to measure the tortuosity of the blood vessels are on pages 4-5)


== Use cases ==
== Parameters ==
# input data : .tre files = files containing the successive 3D positions of the centerline of the tubes (example : tubeTK/Data/Branch-truth.tre)
# mask : image specifying the ROI. Pixel intensity is 0 outside the ROI and ≠0 inside the ROI (example : tubeTK/Data/Branch.n010.mha)
# Methods
## Distance Metric (flag = d, default = true)
## Inflection Count Metric (flag = i, default = false)
## Sum Of Angles Metric (flag = s, default = false)


== Tests ==
[[File:Screenshot-9.png]]


== Tests ==
[[Category:TubeTK Applications|ComputeTortuosity]]

Latest revision as of 13:09, 6 January 2015

Documentation

  • Command line to measure the tortuosity of vessels using Distance Metric, Inflection Count Metric and Sum Of Angles Metric methods.

Right now, only the distance metric method is implemented.

Parameters

  1. input data : .tre files = files containing the successive 3D positions of the centerline of the tubes (example : tubeTK/Data/Branch-truth.tre)
  2. mask : image specifying the ROI. Pixel intensity is 0 outside the ROI and ≠0 inside the ROI (example : tubeTK/Data/Branch.n010.mha)
  3. Methods
    1. Distance Metric (flag = d, default = true)
    2. Inflection Count Metric (flag = i, default = false)
    3. Sum Of Angles Metric (flag = s, default = false)

Tests

Screenshot-9.png