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GridIMAGE: a novel use of grid computing to support interactive human and computer-assisted detection decision support.
- Source :
-
Journal of digital imaging [J Digit Imaging] 2007 Jun; Vol. 20 (2), pp. 160-71. - Publication Year :
- 2007
-
Abstract
- This paper describes a Grid-aware image reviewing system (GridIMAGE) that allows practitioners to (a) select images from multiple geographically distributed digital imaging and communication in medicine (DICOM) servers, (b) send those images to a specified group of human readers and computer-assisted detection (CAD) algorithms, and (c) obtain and compare interpretations from human readers and CAD algorithms. The currently implemented system was developed using the National Cancer Institute caGrid infrastructure and is designed to support the identification of lung nodules on thoracic computed tomography. However, the infrastructure is general and can support any type of distributed review. caGrid data and analytical services are used to link DICOM image databases and CAD systems and to interact with human readers. Moreover, the service-oriented and distributed structure of the GridIMAGE framework enables a flexible system, which can be deployed in an institution (linking multiple DICOM servers and CAD algorithms) and in a Grid environment (linking the resources of collaborating research groups). GridIMAGE provides a framework that allows practitioners to obtain interpretations from one or more human readers or CAD algorithms. It also provides a mechanism to allow cooperative imaging groups to systematically perform image interpretation tasks associated with research protocols.
- Subjects :
- Algorithms
Computer Communication Networks
Computer Security
Data Display
Database Management Systems
Databases as Topic
Decision Making, Computer-Assisted
Humans
Image Processing, Computer-Assisted
Information Storage and Retrieval
Radiography, Thoracic
Radiology Information Systems
Software Design
Tomography, X-Ray Computed
Decision Support Techniques
Diagnostic Imaging
Image Interpretation, Computer-Assisted
Software
User-Computer Interface
Subjects
Details
- Language :
- English
- ISSN :
- 0897-1889
- Volume :
- 20
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of digital imaging
- Publication Type :
- Academic Journal
- Accession number :
- 17318701
- Full Text :
- https://doi.org/10.1007/s10278-007-9020-0