Zum Inhalt springen
Bringing light into radiotherapy
and treatment planning
is a web-based fully
featured DICOM viewer for radiotherapy
and runs on any common internet browser.
The viewer does not need
Simply open it in a web tab
and you're ready to go.
Based on WebGL/HTML5 the viewer renders
directly on the graphic board and avoids
unnecessary usage of valuable CPU resources.
SeDI - Semantic PACS
in treatment planning.
enables powerful searches on
your PACS and in the data pool of your
clinical applications, allowing you to consult
images, diagnostic- and treatment data
of previous cases in real time.
commonly used tools like windowing,
panning and zooming in/out.
ROI contours can be displayed, outlined
and highlighted with a single mouseclick
including the correspondending DVHs.
The dose wash distribution
can be easily displayed.
a multi-view mode to display cases
from different stages of treatment
or from comparable patients.
We are interested in your
requirements and questions.
Please contact us at
SeDI – Semantic PACS
SeDI – The Semantic PACS for Clinical Practice
In Practice and Research
DECIDE – Decision Support System for Personalised and Participatory Cancer Therapy Selection
Clinical Decision Support System
Shared Decision Making
Lightweight web-based DICOM viewer for every browser
Runs on any common internet browser. Does not need to be installed on a computer.
Easy and fast use with a simple and intuitive interface.
Based on WebGL/HTML5 the viewer renders directly on the graphic board and avoids unnecessary usage of CPU resources.
Combined with SeDI – Semantic PACS the viewer displays images, diagnostic- and treatment data of previous cases, e.g., to confirm a suspected diagnosis or to optimize a patient’s treatments plans.
Features common tools like windowing, panning and zooming in/out.
Display, outline and highlight ROI contours with a mouse click. Shows
the correspondending DVHs as well as the
dose wash distribution.
Is able to display images and image data from different stages of treatment or from comparable patients simultaneously (in multi-view mode).
Do you want to learn more about the
and its technical possibilities?
We are happy to answer any further questions you may have.
Page load link