A data-driven decision-support platform for MR-guided HIFU — making brain therapy more precise, efficient and safe.
MRgHIFU is an incisionless technology for precise thermal ablation, established for tremor and expanding fast.
Outcomes still vary; D3-HIFU uses real-world data to make those decisions objective and data-driven.
An MRgHIFU procedure has three stages — D3-HIFU supports each one.
Predicting thermal efficiency, cavitation risk and edema to plan ahead.
Sweet-spot maps and automated segmentation for consistent targeting.
AI lesion shaping and 3D thermal-dose prediction with objective stopping criteria.
General objective: leverage data analysis and machine learning to optimize MRgHIFU, enabling data-driven decisions.
ML models from patient-specific data.
Accounting for demographic and anatomical factors.
Enhancing precision and lesion control.
For better lesion control and safety.
Objective tools for symptom and efficacy evaluation.
Automated platform for planning and monitoring.
Built on real-world data from leading MRgHIFU centers across Spain.
Cohorts ready for model training.
Thermal efficiency, cavitation and lesion models.
Segmentation + personalized targeting.
Validated in phantom studies.
Objective, automated reporting.
First functional platform version.
Enhancing precision, efficiency and safety, and reducing variability in clinical decision-making.
Open-access platform under a Creative Commons licence.
Standardized, anonymized data under FAIR principles.
Investigating gender-specific factors for equitable therapy.
Awarded July 2025 by the Ministry of Science through the State Research Agency (AEI), within the national research plan.
Grant reference · to be confirmedWe work with clinical, academic and industry partners to advance this platform.
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