Literature DB >> 20544372

Challenges for data storage in medical imaging research.

Steve G Langer1.   

Abstract

Researchers in medical imaging have multiple challenges for storing, indexing, maintaining viability, and sharing their data. Addressing all these concerns requires a constellation of tools, but not all of them need to be local to the site. In particular, the data storage challenges faced by researchers can begin to require professional information technology skills. With limited human resources and funds, the medical imaging researcher may be better served with an outsourcing strategy for some management aspects. This paper outlines an approach to manage the main objectives faced by medical imaging scientists whose work includes processing and data mining on non-standard file formats, and relating those files to the their DICOM standard descendents. The capacity of the approach scales as the researcher's need grows by leveraging the on-demand provisioning ability of cloud computing.

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Year:  2011        PMID: 20544372      PMCID: PMC3056978          DOI: 10.1007/s10278-010-9311-8

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  5 in total

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Authors:  S Langer; B Stewart
Journal:  J Digit Imaging       Date:  1999-08       Impact factor: 4.056

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Authors:  Paul G Nagy
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

3.  DCMTB: a virtual appliance DICOM toolbox.

Authors:  Steve Langer; Nick Charboneau; Todd French
Journal:  J Digit Imaging       Date:  2009-08-25       Impact factor: 4.056

Review 4.  Issues surrounding PACS archiving to external, third-party DICOM archives.

Authors:  Steve Langer
Journal:  J Digit Imaging       Date:  2008-05-01       Impact factor: 4.056

5.  An open source toolkit for medical imaging de-identification.

Authors:  David Rodríguez González; Trevor Carpenter; Jano I van Hemert; Joanna Wardlaw
Journal:  Eur Radiol       Date:  2010-03-04       Impact factor: 5.315

  5 in total
  13 in total

1.  A flexible database architecture for mining DICOM objects: the DICOM data warehouse.

Authors:  Steve G Langer
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

2.  DICOM Data Warehouse: Part 2.

Authors:  Steve G Langer
Journal:  J Digit Imaging       Date:  2016-06       Impact factor: 4.056

Review 3.  Imaging informatics: essential tools for the delivery of imaging services.

Authors:  David S Mendelson; Daniel L Rubin
Journal:  Acad Radiol       Date:  2013-10       Impact factor: 3.173

Review 4.  ETL Framework for Real-Time Business Intelligence over Medical Imaging Repositories.

Authors:  Tiago Marques Godinho; Rui Lebre; João Rafael Almeida; Carlos Costa
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

5.  Evolutionary image simplification for lung nodule classification with convolutional neural networks.

Authors:  Daniel Lückehe; Gabriele von Voigt
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-29       Impact factor: 2.924

6.  Web-Based Application for Biomedical Image Registry, Analysis, and Translation (BiRAT).

Authors:  Rahul Pemmaraju; Robert Minahan; Elise Wang; Kornel Schadl; Heike Daldrup-Link; Frezghi Habte
Journal:  Tomography       Date:  2022-05-30

7.  MIRMAID: A Content Management System for Medical Image Analysis Research.

Authors:  Panagiotis D Korfiatis; Timothy L Kline; Daniel J Blezek; Steve G Langer; William J Ryan; Bradley J Erickson
Journal:  Radiographics       Date:  2015-08-18       Impact factor: 5.333

8.  A web-based institutional DICOM distribution system with the integration of the Clinical Trial Processor (CTP).

Authors:  K Y E Aryanto; A Broekema; R G A Langenhuysen; M Oudkerk; P M A van Ooijen
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

Review 9.  A scoping review of cloud computing in healthcare.

Authors:  Lena Griebel; Hans-Ulrich Prokosch; Felix Köpcke; Dennis Toddenroth; Jan Christoph; Ines Leb; Igor Engel; Martin Sedlmayr
Journal:  BMC Med Inform Decis Mak       Date:  2015-03-19       Impact factor: 2.796

Review 10.  Mobile, cloud, and big data computing: contributions, challenges, and new directions in telecardiology.

Authors:  Jui-Chien Hsieh; Ai-Hsien Li; Chung-Chi Yang
Journal:  Int J Environ Res Public Health       Date:  2013-11-13       Impact factor: 3.390

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