The dicom parser can handle Implicit VR Little-endian, Explicit VR Little-endian and Explicit VR Big-endian.
Sequences are not yet handled correctly.
var parser = new DicomParser(buffer); var file = parser.parse_file(); console.log(file.PatientsName);
##Visualization Visualisation is done with WebGL. The pixel data is converted to a WebGL texture. Different fragment shaders are used for different photometric interpretations. Windowing and CLUT is done in shaders.
##Browser support Any WebGL-enabled browser should work. Browsing local files works from Firefox OOTB, Chrome needs to be started with --allow-file-access-from-files. There exists a canvas-painter which runs without WebGL-support but it's not as complete as the GL-painter. The idea is to test for WebGL-support and use the canvas-painter as a fallback. (The performance of GL-painter is a lot better than for canvas-painter)
##Status This is still a work in progress, but basic functionality is in place. TODOs include:
- JPEG2000 decoded data
- Coronal and sagital reslicing.
- PET/CT fusing
- Measurements and ROIs
##Licensing jsdicom is GPL-licensed.
- Daniel 'diggidanne' Erlandsson
- Rickard Holmberg
Developed by Infogosoft AB
Contributions are very much welcome!