Container-Based Clinical Solutions for Portable and Reproducible Image Analysis.
Medical imaging analysis depends on the reproducibility of complex computation. Linux containers enable the abstraction, installation, and configuration of environments so that software can be both distributed in self-contained images and used repeatably by tool consumers. While several initiatives...
| Published in: | Journal of Digital Imaging Vol. 31; no. 3; pp. 315 - 321 |
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| Main Authors: | , , , , , |
| Format: | computer program tables/charts Journal Article |
| Published: |
Springer Nature
Jun2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129685411&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129685411 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2018 vid: 31 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 129685411 129685411 129685411 10.1007/s10278-018-0089-4 129685411 ppf: 315 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. aug: au: Matelsky, Jordan Johnson, Erik Rivera, Corban Toma, Michael Gray-Roncal, William Kiar, Gregory affil: Applied Physics Laboratory, Johns Hopkins University, 11100 Johns Hopkins Road, 20723-6099, Laurel, MD, USA sug: subj: Radiographic Image Interpretation, Computer-Assisted Software Systems Design ab: Medical imaging analysis depends on the reproducibility of complex computation. Linux containers enable the abstraction, installation, and configuration of environments so that software can be both distributed in self-contained images and used repeatably by tool consumers. While several initiatives in neuroimaging have adopted approaches for creating and sharing more reliable scientific methods and findings, Linux containers are not yet mainstream in clinical settings. We explore related technologies and their efficacy in this setting, highlight important shortcomings, demonstrate a simple use-case, and endorse the use of Linux containers for medical image analysis. pubtype: Academic Journal doctype: computer program tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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