This library provides common dicom functionalities to be used in web-applications. Multiplanar reformat on axial, sagittal and coronal viewports is included as well as custom loader/exporter for nrrd files and orthogonal reslice.

• index main file
• image_parsing parse dicom files and return a cornestone data structure ready to be used for rendering
• image_io import a dicom image in .nrrd format and build contiguous array for exporting data as volume
• image_layers provide support for multi-layer cornerstone fusion renderer
• image_loading initialize loader and custom loaders
• image_contours using to populate cornerstone tool for segmentation contours on 2D images
• image_tools using to handle standard and custom cornerstone tools
• image_rendering provides rendering functionalities
• image_store provides data storage functionalities, vuex support is integrated
• image_utils utility functions on pixels and metadata tags
• dataDictionary json file for dicom tags
• loaders/commonLoader common functionalities for custom loaders
• loaders/dicomLoader custom loader for DICOM files with support for multiplanar reformat (axial, sagittal and coronal planes)
• loaders/nrrdLoadercustom loader for nrrd files with support for multiplanar reformat (axial, sagittal and coronal planes)
• loaders/resliceLoader custom loader for resliced data
• tools/customTool is a the main file used to initialize custom cornerstone tools
• tools/contourTool is a custom cornerstone tool for 2D visualization of segmented images
• tools/diameterTool is a custom cornerstone tool for 2D visualization of diameter widgets
• tools/editMaskTool is a custom cornerstone tool for 2D visualization of segmentation masks with brush functionalities
• tools/seedTool is a custom cornerstone tool for 2D interactive seeding with custom colors and labels
• tools/default default tools map and configuration

• Simone Manini, D/Vision Lab
• Mattia Ronzoni, D/Vision Lab
• Sara Zanchi

• cornerstone
• dicomParser
• wadoImageLoader
• lodash
• nrrd-js

yarn add larvitar

Clone docdash repo into template folder yarn run generate-docs