- March 25, 2026
- Category: Events
DOSIsoft participates in European SocieTy for Radiotherapy & Oncology (ESTRO) Annual Meeting
Booth #C16:51 | May 15-19, 2026 | StockholmsmässanMässvägen | Stockholm, Sweden
ThinkQA 3.0 – Unified PSQA
Your PSQA tasks should accomplish more – in less time and with less effort
Step into the powerful ThinkQA design innovation. It runs around a unique dose engine – fast, optimized Collapsed Cone Convolution (CCC) algorithm validated against MC and is designed to support online ART workflow, for both CT-Linacs and MR-Linac.
- AUTOMATED < 1-2 min GPU powered with 3D CCC algorithm
- INTEGRATED into Elekta ONE workflow without extra-time added
- CENTRALIZED All-in-one PSQA tasks management platform
- SIMPLIFIED Get QA user experience any where, any time
ThinkQA 3.0 designed to streamline Patient QA experience
Combining speed, accuracy & simplicity into a unified platform, ThinkQA 3.0 is a next-generation Patient-Specific Quality Assurance (PSQA) solution, capable to delivering end-to-end QA functionalities:
- Secondary dose check Integrated into Elekta ONE online and offline workflows | Independent calculation | 3D analysis | GPU powered
- Logfiles delivery check Pre and post-treatment verification | Deeper insights with cross analysis with SDC | Automated with no compromise in time
- Pretreatment check Phantomless | Instant result with 1 image | Gamma-based comparison
- In vivo check Transit dosimetry QA for deviation detection without compromise in treatment and setup time | Usable at all fractions | Adapted to online adaptive workflows
In-booth Poster Presentation
Booth #C16:51 | Saturday 16 May 16:30-17:00 & Sunday 17 May 10:00 -10:30
- Deep Learning-based dose distribution correction of Electron Return Effect in MR-guided radiotherapy Alexandre Hakimia, Eric Fadela, François Smekensa, Clément Chevillardb, François Husson in collaboration with Institut Curie – Paris, France
- EPID-based in vivo transit dosimetry in external beam radiotherapy: prediction of portal dose images using artificial neural networks Côme Mével Dutertre, Alexandre Hakimi, Eric Fadel, François Smekens, Xavier Franceries, François Husson
Click on the link provided for more information: ESTRO 2026
