SlicerSALT: From Medical Images to Quantitative Insights of Anatomy

Jared Vicory, Ye Han, Juan Carlos Prieto, David Allemang, Mathieu Leclercq, Connor Bowley, Harald Scheirich, Jean Christophe Fillion-Robin, Steve Pizer, James Fishbaugh, Guido Gerig, Martin Styner, Beatriz Paniagua

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Three-dimensional (3D) shape lies at the core of understanding the physical objects that surround us. In the biomedical field, shape analysis has been shown to be powerful in quantifying how anatomy changes with time and disease. The Shape AnaLysis Toolbox (SALT) was created as a vehicle for disseminating advanced shape methodology as an open source, free, and comprehensive software tool. We present new developments in our shape analysis software package, including easy-to-interpret statistical methods to better leverage the quantitative information contained in SALT’s shape representations. We also show SlicerPipelines, a module to improve the usability of SALT by facilitating the analysis of large-scale data sets, automating workflows for non-expert users, and allowing the distribution of reproducible workflows.

Original languageEnglish (US)
Title of host publicationShape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Proceedings
EditorsChristian Wachinger, Beatriz Paniagua, Shireen Elhabian, Jianning Li, Jan Egger
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Print)9783031469138
StatePublished - 2023
EventInternational Workshop on Shape in Medical Imaging, ShapeMI 2023 - Vancouver, Canada
Duration: Oct 8 2023Oct 8 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14350 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Workshop on Shape in Medical Imaging, ShapeMI 2023


  • Open-source software
  • Shape analysis
  • Statistics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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