ESTRO 2022

Personalising Image Guided Cancer Care

The ESTRO showcase includes -
There is nothing like a deadline to focus the attention, and after the disruption of COVID, the prospect of returning to ESTRO has got the Mirada team fully fired up. The show’s theme this year is, “Learning from every patient” and in support of this message Mirada will be onsite to explain how we can help clinics personalize their care through our image-guided radiation oncology solutions. Our team is looking forward to meeting with clinical professionals to demonstrate a whole range of automation tools for Radiation Oncology. Our team includes, both clinical workflow and data specialist so do take this opportunity to come and talk to us in person by completing the form below.

Ai Autocontouring

DLCExpert gives clinics the flexibility to choose from its AI Library of structures covering: head and neck, thorax, breast and prostate. Built using deep learning technology, DLCExpert saves time while providing OAR contouring consistency and accuracy

Treatment planning support

Precision confidence for radiotherapy image workflows needed to enhance your treatment planning experience RTx is a trusted, accurate and comprehensive image registration and visualization software package for radiotherapy professionals.

Image Registration

RTx is a trusted, accurate and comprehensive image registration and visualization software package for radiotherapy professionals. RTx provides advanced workflows for radiotherapy experts looking for all the benefits of a robust image registration workflow solution without being tied to a costly TPS.

Science Program

Learning from every patient

Once again our science team will be featuring in the extensive conference program at ESTRO 2022. We are also delighted to support the UK's Worcestershire Oncology Centre, as they present a paper based on their experience with Mirada's DLCExpert.

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Evaluation of the dosimetric impact of autodelineation uncertainties in prostate radiotherapy Kevin Alty, Clinical Scientist, Worcestershire Oncology Centre


Is Monte Carlo uncertainty a good predictor of manual adjustments of deep-learning contours? ​Georgia Ionescu, Mirada Research Scientist

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Evaluating the geometric accuracy of the constructed Mid-P CT using mathematically deformed phantoms Djamal Boukerroui, Senior Research Scientist, Mirada

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Multicenter comparison of measures for quantitative evaluation of automatic contouring Mark Gooding

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Investigating intensity augmentation for deep learning contouring on prostate contrast-enhanced CT Mark Gooding, Djamal Boukerroui, Yasmin McQuinlan, Rachel Baggs

ESTRO – Copenhagen, Denmark We are looking forward to our next in person European event.


Book a meeting at ESTRO22

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