History

Erik Ziegler 349f591764 Fix viewport height on iOS (#164 )		2018-07-10 11:29:38 +02:00
..
.gagarin	Added starrynight test setup	2016-01-25 21:46:41 +01:00
.meteor	feat(user preferences) Add User Preferences & Theming to Standalone Viewer (closes #117 ). Update Standalone to Meteor 1.7	2018-07-04 17:43:50 +02:00
bin	Bugfix for moving next/previous buttons	2017-03-02 10:18:11 -03:00
client	Fix viewport height on iOS (#164 )	2018-07-10 11:29:38 +02:00
public/images	Updated logo to the OHIF logo	2015-11-05 13:45:11 -05:00
server	Move towards NPM for Cornerstone dependencies	2017-06-15 09:18:54 +02:00
tests/nightwatch	Added nightwatch starrynight scaffold folder	2016-01-26 17:57:50 +01:00
.eslintrc.json	Add ESLint configuration	2016-11-15 08:25:09 +01:00
activeEntry.js	PWV-1: Fixing merging issues	2016-11-15 08:24:30 +01:00
package.json	Update babel-runtime	2017-06-15 10:54:36 +02:00
README.md	Add title to LesionTracker README	2017-12-05 18:00:35 -05:00
runGagarinTests.sh	Added starrynight test setup	2016-01-25 21:46:41 +01:00
runNightwatchTests.sh	Added starrynight test setup	2016-01-25 21:46:41 +01:00

README.md

LesionTracker

LesionTracker is an open source, zero-footprint image viewer focused on oncology clinical trial workflows. It is built using Meteor platform which enables modularity with a set of packages of the OHIF framework.

Why LesionTracker?

LesionTracker brings an user experience for the basic tumor metrics through web browser. It provides a DICOM server for storing and streaming images to the viewer, tools for measuring and following lesions over time, and a database for measurements of overlay data. A web-based system for image assessments rather than a workstation-based installed application will improve workflow efficiency, enhance accessibility, and promote collaborative image review for the radiologists at cooperating cancer centers.

To get started, checkout LesionTracker Documentation