A relational approach to the capture of DICOM files for Grid-enabled medical imaging databases

Power, Dermot; Πολίτου, Ευγενία; Slaymaker, Mark; Harris, Steve; Simpson, Andrew

doi:10.1145/967900.967959

Cited by 30 publications

(17 citation statements)

References 12 publications

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“…eDiaMoND [5] is a grid-enabled medical imaging database, that relies on an object-relational approach to store DICOM les. It supports only three modalities (secondary capture images, mammography x-Ray images and structured reports) and restricts users to a set of pre-determined queries.…”

Section: Medical Data Storesmentioning

confidence: 99%

Medical data management in the SYSEO project

et al. 2013

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The SYSEO project aims at producing a software solution suitable for endoscopic imaging in order to enable physicians to manage, manipulate and share medical images. This paper presents our two main components for data management in this system: (1) a novel hybrid rowcolumn database for medical data storage within the cloud and (2) a system for semantic image annotation and retrieval relying on an ontology for polyps.

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Section: Medical Data Storesmentioning

confidence: 99%

Medical data management in the SYSEO project

et al. 2013

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“…Significant challenges exist when attempting to transact in such PHI to support research operations, especially when employing technologies such as the Gridbased electronic data interchange models described earlier. [31][32][33][34][35] These challenges include ensuring that appropriate access controls are maintained throughout a distributed architecture, the certification that consumers of such data have a valid and documented purpose for accessing PHI, and maintaining the confidentiality of such data while in-transit or being stored throughout a potentially heterogeneous computing environment. An example of a HIPAA compliant research data repository that contains image data and phenotypic data is the Reference Image Database to Evaluate Response (RIDER) archive of CT scans for lung cancer patients.…”

Section: Information Needs In the Clinical And Translational Researchmentioning

confidence: 99%

A Knowledge-Anchored Integrative Image Search and Retrieval System

et al. 2007

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Clinical data that may be used in a secondary capacity to support research activities are regularly stored in three significantly different formats: (1) structured, codified data elements; (2) semi-structured or unstructured narrative text; and (3) multi-modal images. In this manuscript, we will describe the design of a computational system that is intended to support the ontology-anchored query and integration of such data types from multiple source systems. Additional features of the described system include (1) the use of Grid services-based electronic data interchange models to enable the use of our system in multi-site settings and (2) the use of a software framework intended to address both potential security and patient confidentiality concerns that arise when transmitting or otherwise manipulating potentially privileged personal health information. We will frame our discussion within the specific experimental context of the concept-oriented query and integration of correlated structured data, narrative text, and images for cancer research.

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“…With regard to the medical image format, the DICOM (Digital Image and COmmunication in Medicine) standard has emerged as a widely accepted norm [15,45]. The DICOM file format contains one or several image slices as well as metadata relative to the patient (e.g.…”

Section: Strategy 1: Local Systemsmentioning

confidence: 99%

“…However not all the proposed prototypes are validated (e.g. [6,34,39,45]). A few articles used experiments to compare the effectiveness of their prototype with other existing tools (e.g.…”

Section: Assessment Of Strategiesmentioning

confidence: 99%