Literature DB >> 26284301

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

Panagiotis D Korfiatis1, Timothy L Kline1, Daniel J Blezek1, Steve G Langer1, William J Ryan1, Bradley J Erickson1.   

Abstract

Today, a typical clinical study can involve thousands of participants, with imaging data acquired over several time points across multiple institutions. The additional associated information (metadata) accompanying these data can cause data management to be a study-hindering bottleneck. Consistent data management is crucial for large-scale modern clinical imaging research studies. If the study is to be used for regulatory submissions, such systems must be able to meet regulatory compliance requirements for systems that manage clinical image trials, including protecting patient privacy. Our aim was to develop a system to address these needs by leveraging the capabilities of an open-source content management system (CMS) that has a highly configurable workflow; has a single interface that can store, manage, and retrieve imaging-based studies; and can handle the requirement for data auditing and project management. We developed a Web-accessible CMS for medical images called Medical Imaging Research Management and Associated Information Database (MIRMAID). From its inception, MIRMAID was developed to be highly flexible and to meet the needs of diverse studies. It fulfills the need for a complete system for medical imaging research management. (©)RSNA, 2015.

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Year:  2015        PMID: 26284301      PMCID: PMC4613872          DOI: 10.1148/rg.2015140031

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  19 in total

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6.  The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.

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7.  Federated web-accessible clinical data management within an extensible neuroimaging database.

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8.  COINS: An Innovative Informatics and Neuroimaging Tool Suite Built for Large Heterogeneous Datasets.

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  7 in total

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Review 2.  An Assessment of Imaging Informatics for Precision Medicine in Cancer.

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4.  MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas.

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Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

5.  RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.

Authors:  Kenneth A Philbrick; Alexander D Weston; Zeynettin Akkus; Timothy L Kline; Panagiotis Korfiatis; Tomas Sakinis; Petro Kostandy; Arunnit Boonrod; Atefeh Zeinoddini; Naoki Takahashi; Bradley J Erickson
Journal:  J Digit Imaging       Date:  2019-08       Impact factor: 4.056

6.  XNAT-PIC: Extending XNAT to Preclinical Imaging Centers.

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7.  Reengineering Workflow for Curation of DICOM Datasets.

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Journal:  J Digit Imaging       Date:  2018-12       Impact factor: 4.056

  7 in total

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