Kevin Chikai Ma BS, Presenter: Nothing to Disclose

Jeffrey Zhang, Abstract Co-Author: Nothing to Disclose

Heng Gao Zhong, Abstract Co-Author: Nothing to Disclose

Brent Julius Liu PhD, Abstract Co-Author: Nothing to Disclose

Last year, we have demonstrated an imaging informatics-based multiple sclerosis eFolder with data storage, data analysis, and data mining solution designed and developed based on IHE workflow profiles. The eFolder integrates patient’s clinical data with MRI studies and a computer-aided detection algorithm for quantifying MS lesion characteristics (including lesion volume, lesion contour, locations, and sizes) in brain MRI studies. Quantitative CAD results need to be converted to DICOM-SR format for long-term storage in PACS and data query and display in a DICOM-compliant clinical setting, in accordance with IHE integration protocols. In order to display CAD results in DICOM-SR format on the web GUI, we have designed a web-based DICOM-SR viewer based on our existing DICOM wado viewer. The methodology including conversion of CAD data from native MATLAB format or any other CAD-specific software to DICOM-SR, and displaying DICOM-SR in a tabulated format along with the referenced images in the viewer will be shown. The viewer also displays lesion segmentation results in the DICOM format.

72 MRI studies have been analyzed by the CAD. All of the CAD results have been converted to DICOM-SR via dcmtk and customized XML templates. The generated SR are verified by XML-based SR validator in the PixelMed toolkit. The web-based DICOM-SR viewer will be integrated along with the eFolder GUI to allow users to view DICOM images, perform window/level/zooming tasks, and to view tabulated MS CAD results in the viewer. Users will also be able to select individual lesions for a more detailed lesion characteristic summary.

We will present an effective way to convert quantitative imaging data into DICOM-SR, a web-based GUI to display DICOM-SR, and provide an example of how to utilize the DICOM standard and IHE integration profiles in a research setting.

We have presented an MS eFolder system to integrate patient’s clinical data with MRI and quantitative data from CAD. CAD data has been converted to DICOM-SR for display and long-term storage in a DICOM-compliant environment. A web-based DICOM-SR interface displays tabulated CAD lesion data, segmentation results, and reference images.

Ma, K, Zhang, J, Zhong, H, Liu, B, Web-based DICOM-SR Viewer for CAD Data of Multiple Sclerosis Lesions in an Imaging Informatics-based eFolder.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13013919.html