RESOURCES
SARRP
The SARRP is an advanced pre-clinical image‑guided irradiation systemthat integrates cone‑beam computed tomography (CBCT) with radiation planning software to deliver precise orthovoltage X‑ray beams (150–300 kV) to defined anatomical targets with sub‑millimetre accuracy. It supports single‑beam, multi‑beam, and arc‑baseddelivery, mirroring contemporary clinical radiation therapy techniques
Key Capabilities
- Image‑Guided Targeting: High‑resolution CBCT enables 3D localisation of targets and accurate beam placement. Onboard CBCT provides volumetric datasets for anatomical registration and planning, enabling confident delivery of beams down to ~0.5 mm.
- Delivery Modalities: Configurable single, multiple, or arc beams to shape dose distributions analogous to clinical practice. Sub‑millimetre targeting with the ability to deliver ~0.5 mm beams, supporting highly focal irradiation.
- Orthovoltage Source: 150–300 kV X‑ray generation for focal irradiation with sub‑millimetre precision.
- Treatment Planning: Integration with MuriPlan® for beam geometry optimisation (number, dose, direction) that minimises exposure to non‑target structures and critical organs.
- Plan Evaluation: Dose distributions can be assessed to minimise non‑target exposure while maintaining coverage of the intended volume, aligning with translational radiotherapy objectives.
- Protocol Development: Platform enables development and validation of novel radiation regimens and image‑guided workflows that bridge pre‑clinical investigations and clinical translation.
For more information please contant Katrina Stevenson - Senior SARRP Technician
Image Analysis Support
Dr Alge Bloom can provide specialist image analysis support to the RadNet Glasgow+ programme, with a focus on developing AI-driven computational tools for cancer imaging research. His work centres on the integration of multimodal preclinical imaging data (CT, MRI, PET) with high-content tissue-based data, applying machine learning approaches to challenges such as automated tumour segmentation, spatial biomarker analysis, and treatment response prediction.
He can offer support across a broad range of imaging and computational needs, including:
The development of automated analysis pipelines
Custom scripting in MATLAB and Python
Radiomics feature extraction
Training on image analysis platforms such as VivoQuant and ImageJ
Whether you are working with preclinical or clinical datasets, get in touch with Dr Alge Bloom to discuss how computational approaches might help advance your research.