Home < Documentation < 4.8 < Modules < ComputeBMFeatures
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Introduction and Acknowledgements
Author: Jean-Baptise Vimort, Kitware Inc.
Contributors: Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)
Contact: Jean-Baptiste Vimort, <email>email@example.com</email>
Acknowledgments: This work was supported by the National Institute of Health (NIH) National Institute for Dental and Craniofacial Research (NIDCR) grant R21DE025306 (Textural Biomarkers of Arthritis for the Subchondral Bone in the Temporomandibular Joint), NIDCR grant R01DE024450 (Quantification of 3D bony Changes in
Temporomandibular Joint Osteoarthritis) and National Institute of Biomedical Imaging and Bioengineering NIBIB) grant R01EB021391 (Shape Analysis Toolbox for Medical Image Computing Projects).
License: Apache License, Version 2.0
This module can be used in order to compute bone morphometry features of an input image. The computation of the bone morphometry features is based on a binary segmentation of the whole image and it based on the itk remote module: itkBoneMorphometry itkBoneMorphometry.
The following Bone Morphompetry Features are computed:
- percent bone volume [BVTV]
- trabecular thickness [TbTh]
- trabecular separation [TbSp]
- trabecular number [TbN]
- Bone Surface to Bone Volume ratio [BSBV]
- Input volume [index: 0] : Input Volume
- Input mask [-s --inputMask] (None) : A mask defining the region over which texture features will be calculated
- Inside Mask Value [-i --inputMask] (1) : The pixel value that defines the ”inside” of the mask
- Threshold [-i --inputMask] (0) : The threshold value that will be used for the binary segmentation of the image
- Neighborhood radius [-n --neighborhoodRadius] (4) : The size of the neighborhood radius
- BVTV [output] : percent bone volume feature value
- TbTh [output] : trabecular thickness feature value
- TbSp [output] : trabecular separation feature value
- TbN [output] :trabecular number feature value
- BSBV [output] : Bone Surface to Bone Volume ratio feature value
- Output Vector [output] : Output vector containing all the feature value stored in the same order than previously
Information for Developers
The source code is available on github