GridIMAGE: A novel use of grid computing to support interactive human and computer-assisted detection decision support.
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-assiste...
| Publicado en: | Journal of Digital Imaging Vol. 20; no. 2; pp. 160 - 172 |
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| Autores principales: | , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106187594&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106187594 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2007 vid: 20 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 106187594 2009597046 10.1007/s10278-007-9020-0 NLM17318701 106187594 ppf: 160 ppct: 12 formats: fmt: @attributes: type: P tig: atl: GridIMAGE: A novel use of grid computing to support interactive human and computer-assisted detection decision support. aug: au: Gurcan MN Pan T Sharma A Kurc T Oster S Langella S Hastings S Siddiqui KM Siegel EL Saltz J affil: Department of Biomedical Informatics, The Ohio State University, 3190 Graves Hall, 333 W. 10th Ave, Columbus, OH, 43210, USA, gurcan@bmi.osu.edu. sug: subj: Decision Making, Computer Assisted Diagnostic Imaging Image Interpretation, Computer Assisted Software User-Computer Interface Algorithms DICOM Funding Source Image Processing, Computer Assisted Image Retrieval Systems Software Design Systems Design Tomography, X-Ray Computed XML Human ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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