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. | *Measuring 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. | Right now, only the distance metric method is implemented. | ||
For more informations about the methods, please | *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) | ||
*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) | |||
== Use cases == | == Use cases == | ||
Revision as of 20:06, 8 November 2010
Documentation
- Measuring 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 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)
- 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)
