ViBPro Lab
ViBPro Lab
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Voxel-wise Imaging and Biology for Personalised Radiation Oncology
"ViBPro" Laboratory advances personalised radiation oncology through voxel-wise imaging, biologically informed modelling, and spatial dose–outcome analysis. By integrating quantitative and functional imaging, biological phenotypes, planned and delivered dose, deformable image registration, and longitudinal clinical outcomes, we investigate how anatomy, biology, and radiation response evolve across space and time.
Our goal is to develop and validate patient-specific tools that improve treatment planning, adaptive radiotherapy, follow-up, and treatment selection.
Research Focus
Research Focus
Functional and Quantitative Imaging Biomarkers
ViBPro Laboratory uses multimodal imaging, including CT, MRI, PET, cone-beam CT, and MR-guided radiotherapy imaging, to characterise tumour and normal-tissue heterogeneity. We develop quantitative and functional imaging biomarkers that capture tissue biology, treatment-related change, and disease behaviour over time.
Voxel-wise Dose–Response Modelling
ViBPro Laboratory investigates where dose is deposited and how spatial dose patterns relate to toxicity and tumour control. We apply voxel-wise analysis, dosiomics, image-based data mining, and reproducible validation to identify clinically meaningful dose–response relationships.
Adaptive Radiation Oncology and Delivered-Dose Mapping
Anatomical change and inter-fraction motion can lead to important differences between planned and delivered dose. We use deformable image registration, dose accumulation, and anatomy-of-the-day assessment to evaluate delivered dose and guide evidence-based treatment adaptation.
Personalised Outcome Prediction and Decision Support
ViBPro Laboratory integrates imaging biomarkers, spatial dose information, biology, and clinical data to support patient-specific treatment decisions. Our research includes NTCP/TCP modelling, interpretable machine learning, risk mapping, and plan comparison linked to toxicity, tumour control, and patient-reported outcomes.
Group Member
Group Member
Postgraduate Research Student: Ms Theepangkorn Nuraj --> Surface-entrance Dose Quantification in Breast Radiotherapy
Ms Peerada Pudsena --> MLC Modelling in Matched Beam Linear Accelerator
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