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Updated: Aug 5, 2025

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
Published on: August 23, 2017
SurVolT: Surface to Volume conversion Tool. A proof of concept
Alexia Gorecki1, Veronica Sorgato1, Christophe Mazzara2
1Department of Radiotherapy, Daniel Hollard Cancer Institute, Grenoble, France; School of Medical Physics, Faculty of Medicine, Grenoble Alpes University, France.
A new tool, SurVolT, converts daily surface data into volumetric changes for CT scans, enabling adaptive radiotherapy. This surface-guided radiotherapy approach is crucial for precise cancer treatments.
Area of Science:
- Medical Physics
- Radiotherapy Technology
- Image Processing
Background:
- Accurate patient positioning and monitoring are critical in modern radiotherapy.
- Anatomical changes during treatment can affect dose delivery accuracy.
- Integrating real-time surface data into treatment planning is an emerging area.
Purpose of the Study:
- To develop SurVolT, a novel conversion tool for applying volumetric changes to DICOM CT data.
- To utilize daily surface (obj) data from AlignRT® for volumetric adjustments.
- To primarily validate the tool for breast cancer radiotherapy treatments.
Main Methods:
- SurVolT extracts AlignRT® .obj files and deforms contours based on surface data.
- The tool substitutes external contours and deforms Planning Treatment Volume (PTV) contours.
- Validation involved phantoms mimicking edema and anthropomorphic models, with final application on a patient.
Main Results:
- Phantom validation demonstrated accurate bolus thickness estimation (5.8±1.2mm vs. 5mm expected).
- Non-rigid image deformation accurately followed the new external contour at the treated area.
- Negligible deformation was observed in non-target regions, ensuring localized adjustments.
Conclusions:
- SurVolT represents a proof of concept for converting surface data to volumetric data in radiotherapy.
- This tool is a fundamental step towards implementing Surface-Guided Radiotherapy (SGRT)-based adaptive radiotherapy.
- The findings support the potential of SGRT for enhancing treatment precision and adaptability.
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