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SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research
Journal article   Open access   Peer reviewed

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

Ziv Yaniv, Bradley C Lowekamp, Hans J Johnson and Richard Beare
Journal of digital imaging, Vol.31(3), pp.290-303
06/2018
DOI: 10.1007/s10278-017-0037-8
PMCID: PMC5959828
PMID: 29181613
url
https://doi.org/10.1007/s10278-017-0037-8View
Published (Version of record) Open Access

Abstract

Modern scientific endeavors increasingly require team collaborations to construct and interpret complex computational workflows. This work describes an image-analysis environment that supports the use of computational tools that facilitate reproducible research and support scientists with varying levels of software development skills. The Jupyter notebook web application is the basis of an environment that enables flexible, well-documented, and reproducible workflows via literate programming. Image-analysis software development is made accessible to scientists with varying levels of programming experience via the use of the SimpleITK toolkit, a simplified interface to the Insight Segmentation and Registration Toolkit. Additional features of the development environment include user friendly data sharing using online data repositories and a testing framework that facilitates code maintenance. SimpleITK provides a large number of examples illustrating educational and research-oriented image analysis workflows for free download from GitHub under an Apache 2.0 license: github.com/InsightSoftwareConsortium/SimpleITK-Notebooks .
Cooperative Behavior Diagnostic Imaging - methods Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Radiology - education Reproducibility of Results Research Workflow

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