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view Resources/Samples/WebApplications/README.txt @ 1182:d74ac5d0bcaf
New sample: Automated classification of DICOM files
author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Thu, 09 Oct 2014 17:11:00 +0200 |
parents | 2f63c225c4c0 |
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=================== GENERAL INFORMATION =================== This folder contains sample Web applications. These Web applications make use of NodeJs (http://nodejs.org/). To run the applications, you therefore need to install NodeJs on your computer. NodeJs acts here as a lightweight, cross-platform Web server that statically serves the HTML/JavaScript files and that dynamically serves the Orthanc REST API as a reverse proxy (to avoid cross-domain problems with AJAX). Once NodeJs is installed, start Orthanc with default parameters (i.e. HTTP port set to 8042), start NodeJs with the sample application you are interested in (e.g. "node DrawingDicomizer.js"). Then, open http://localhost:8000/ with a standard Web browser to try the sample application. ======================================= DRAWING DICOMIZER (DrawingDicomizer.js) ======================================= This sample shows how to convert the content of a HTML5 canvas as a DICOM file, using a single AJAX request to Orthanc. Internally, the content of the HTML5 canvas is serialized through the standard "toDataURL()" method of the canvas object. This returns a string containing the PNG image encoded using the Data URI Scheme (http://en.wikipedia.org/wiki/Data_URI_scheme). Such a string is then sent to Orthanc using the '/tools/create-dicom' REST call, that transparently decompresses the PNG image into a DICOM image.