11 March 2010 Exemplary design of a DICOM structured report template for CBIR integration into radiological routine
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Abstract
The large and continuously growing amount of medical image data demands access methods with regards to content rather than simple text-based queries. The potential benefits of content-based image retrieval (CBIR) systems for computer-aided diagnosis (CAD) are evident and have been approved. Still, CBIR is not a well-established part of daily routine of radiologists. We have already presented a concept of CBIR integration for the radiology workflow in accordance with the Integrating the Healthcare Enterprise (IHE) framework. The retrieval result is composed as a Digital Imaging and Communication in Medicine (DICOM) Structured Reporting (SR) document. The use of DICOM SR provides interchange with PACS archive and image viewer. It offers the possibility of further data mining and automatic interpretation of CBIR results. However, existing standard templates do not address the domain of CBIR. We present a design of a SR template customized for CBIR. Our approach is based on the DICOM standard templates and makes use of the mammography and chest CAD SR templates. Reuse of approved SR sub-trees promises a reliable design which is further adopted to the CBIR domain. We analyze the special CBIR requirements and integrate the new concept of similar images into our template. Our approach also includes the new concept of a set of selected images for defining the processed images for CBIR. A commonly accepted pre-defined template for the presentation and exchange of results in a standardized format promotes the widespread application of CBIR in radiological routine.
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Petra Welter, Petra Welter, Thomas M. Deserno, Thomas M. Deserno, Ralph Gülpers, Ralph Gülpers, Berthold B. Wein, Berthold B. Wein, Christoph Grouls, Christoph Grouls, Rolf W. Günther, Rolf W. Günther, } "Exemplary design of a DICOM structured report template for CBIR integration into radiological routine", Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280B (11 March 2010); doi: 10.1117/12.844170; https://doi.org/10.1117/12.844170
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