A Grid-Based Image Archival and Analysis System

Hastings, Shannon; Oster, Scott; Langella, Stephen; Kurç, Tahsin; Pan, Tony; Çatalyürek, Ümit V.; Saltz, Joel

doi:10.1197/jamia.m1698

Cited by 25 publications

(18 citation statements)

References 14 publications

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“…Grids are providing computing resources and workload systems that ease application code deployment and usage. Moreover, grids are providing distributed data management services that are well suited for handling medical data geographically spread throughout various medical centers [13,20,12,24,7]. However, existing grid middlewares often only deal with data files and do not provide higher-level services for manipulating medical data.…”

Section: Medical Image Processing On Grid Infrastructuresmentioning

confidence: 99%

A Secure Grid Medical Data Manager Interfaced to the gLite Middleware

Montagnat¹,

Frohner

Jouvenot³

et al. 2007

J Grid Computing

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Abstract. The medical community is producing and manipulating a tremendous volume of digital data for which computerized archiving, processing and analysis is needed. Grid infrastructures are promising for dealing with challenges arising in computerized medicine but the manipulation of medical data on such infrastructures faces both the problem of interconnecting medical information systems to grid middlewares and of preserving patients' privacy in a wide and distributed multiuser system. These constraints are often limiting the use of grids for manipulating sensitive medical data.This paper describes our design of a medical data management system taking advantage of the advanced gLite data management services, developed in the context of the EGEE project, to fulfill the stringent needs of the medical community. It ensures medical data protection through strict data access control, anonymization and encryption. The multi-level access control provides the flexibility needed for c 2007 Kluwer Academic Publishers. Printed in the Netherlands.GRID172.tex; 1 2 J. Montagnat, A. Frohner, D. Jouvenot, C. Pera et al implementing complex medical use-cases. Data anonymization prevents the exposure of most sensitive data to unauthorized users, and data encryption guarantees data protection even when it is stored at remote sites. Moreover, the developed prototype provides a grid Storage Resource Manager (SRM) interface to standard medical DICOM servers thereby enabling transparent access to medical data without interfering with medical practice.Keywords: Secure grid storage, gLite middleware, medical data management 1. Context ObjectivesMany scientific areas benefit from large and distributed storage capabilities provided by grid infrastructures. On top of physical storage resources, the EGEE [17] grid data management system eases the manipulation of large data volumes and provides high level functionality such as data distribution, replication and optimized access. To build a data management system that can adapt to the heterogeneous data storage resources (disk, tapes, silos...), the grid community has adopted standard interfaces to virtualize the underlying resources. In particular, gLite [23], the next generation EGEE middleware, has adopted the Storage Resource Manager (SRM) interface [29] standardized in the context of the Open Grid Forum [28]. The SRM's primary concern is to provide efficient access to large volumes of data. It provides, among other services, prefetching of data files recorded on secondary storage, management of storage space and reservation of storage resources. However, it does not provide any access control nor protection of data which severely limits its usability for applications manipulating sensitive data.In this paper, we address the problem of sensitive data management on the EGEE grid infrastructure and we introduce a data management service designed to handle medical records on grids. We first motivate our approach through an in-depth requirement analysis of data management in the medical ar...

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Section: Medical Image Processing On Grid Infrastructuresmentioning

confidence: 99%

A Secure Grid Medical Data Manager Interfaced to the gLite Middleware

Montagnat¹,

Frohner

Jouvenot³

et al. 2007

J Grid Computing

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“…Hastings et al [32] complemented the PACS by providing an extra management of the information using XML language, allowing a more friendly environment for large biomedical databases. Similarly, Mahmoudi et al [45] developed a web-application tool connected to a PACS system to allow direct access to the data.…”

Section: Databasesmentioning

confidence: 99%

“…Hastings et al [32] addressed the work to metadata and data management issues using a generic, distributed, XML-based data management system. According to the authors, the use of XML schemas and XML documents allowed to manage and publish data models to efficiently store, query, reference and create virtualized XML views into distributed and interconnected databases.…”

Section: Exchange Of Informationmentioning

confidence: 99%

On the Use of XML in Medical Imaging Web-Based Applications

Mata

Oliver

Lalande

et al. 2017

IRBM

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The rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the XML protocol in web-based medical imaging applications, analyzing how this protocol allows indexing and exchanging the huge amount of information associated with each medical case. The purpose of this paper is to point out the main advantages and drawbacks of the XML technology in order to provide key ideas for future web-based applications. As already explained by the email of Dr. Alain Lalande, in this paper we review the advances that the XML exchanging information protocol has provided to web-based applications applied to the medical imaging field.As suggested, we've checked the associated editors list and we think that either Alfredo Hernandez or Frederique Frouin could manage the current submission.All authors have checked the manuscript and have agreed to the submission. We have no conflict of interest. We think the research topic the paper is dealing with perfectly fits the scope of the journal. Acknowledgements:This work was partially funded by the Spanish R+D+I grant n. TIN2012-37171-C02-01. C. Mata holds a Mediterranean Office for Youth mobility grant. Finally, the Regional Council of Burgundy under the PARI 1 scheme sponsored this work. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 On the use of XML in medical imaging web-based applications Title/Authors/Affiliations AbstractThe rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the XML protocol in webbased medical imaging applications, analyzing how this protocol allows indexing and exchanging the huge amount of information associated with each medical case. The purpose of this paper is to point out the main advantages and drawbacks of the XML technology in order to provide key ideas for future web-based applications.

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“…The NeuroGrid [4] project aimed to provide image archival, curation and analysis capabilities for the neuroimaging community using Grid technology. GridPACS -A Grid-enabled System for Management and Analysis of Large Images [6,7] describes an example providing successful management for large images in the medical domain. SIDB (Scientific Image Database) -is open source software for archiving 2D and 3D microscopy images [8].…”

Section: Related Workmentioning

confidence: 99%