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. 2018 Sep:11167:65-72.
doi: 10.1007/978-3-030-04747-4_6. Epub 2018 Nov 23.

SlicerSALT: Shape AnaLysis Toolbox

Jared Vicory  1 , Laura Pascal  1 , Pablo Hernandez  1 , James Fishbaugh  2 , Juan Prieto  3 , Mahmoud Mostapha  3 , Chao Huang  3 , Hina Shah  1 , Junpyo Hong  3 , Zhiyuan Liu  3 , Loic Michoud  4 , Jean-Christophe Fillion-Robin  1 , Guido Gerig  2 , Hongtu Zhu  3 , Stephen M Pizer  3 , Martin Styner  3 , Beatriz Paniagua  1
Affiliations

SlicerSALT: Shape AnaLysis Toolbox

Jared Vicory et al. Shape Med Imaging (2018). 2018 Sep.

Abstract

SlicerSALT is an open-source platform for disseminating state-of-the-art methods for performing statistical shape analysis. These methods are developed as 3D Slicer extensions to take advantage of its powerful underlying libraries. SlicerSALT itself is a heavily customized 3D Slicer package that is designed to be easy to use for shape analysis researchers. The packaged methods include powerful techniques for creating and visualizing shape representations as well as performing various types of analysis.

Keywords: Shape analysis; Software; Statistics.

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Figures

Fig. 1
Fig. 1
The SlicerSALT workflow
Fig. 2
Fig. 2
The SlicerSALT home module with direct links to the available extensions.
Fig. 3
Fig. 3
The Data Importer module after loading lateral ventricle segmentations.
Fig. 4
Fig. 4
ShapePopulationViewer visualizing a set of brain segmentations
Fig. 5
Fig. 5
The RegressionVisualization module showing the result of a regression computation on a set of brain segmentations.
Fig. 6
Fig. 6
An example skeletal model (s-rep) loaded into SlicerSALT.
See this image and copyright information in PMC

References

    1. 3D Slicer. http://www.slicer.org.
    1. Shape population viewer. https://www.nitrc.org/projects/shapepopviewer/
    1. SlicerSALT. http://salt.slicer.org.
    1. Slicersalt github. https://github.com/Kitware/SlicerSALT.
    1. Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, et al.: 3d slicer as an image computing platform for the quantitative imaging network. Magnetic resonance imaging 30(9), 1323–1341 (2012) - PMC - PubMed

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