A5022472690- MRI in cancer diagnosis
- Advanced Radiotherapy Techniques
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Treatment and Research
- Ultrasound in Clinical Applications
- Lung Cancer Diagnosis and Treatment
- Ultrasound and Hyperthermia Applications
- Prostate Cancer Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Pleural and Pulmonary Diseases
St James's University Hospital
2022-2024
Leeds Teaching Hospitals NHS Trust
2022-2023
Deep-learning auto-contouring (DL-AC) promises standardisation of organ-at-risk (OAR) contouring, enhancing quality and improving efficiency in radiotherapy. No commercial models exist for OAR contouring based on brain magnetic resonance imaging (MRI). We trained evaluated computed tomography (CT) MRI autosegmentation RayStation. To ascertain clinical usability, we investigated the geometric impact contour editing before training model quality.
Background and purposeMagnetic Resonance Imaging (MRI) exhibits scanner dependent contrast, which limits generalisability of radiomics machine-learning for radiation oncology. Current deep-learning harmonisation requires paired data, retraining new scanners often suffers from geometry-shift alters anatomical information. The aim this study was to investigate style-blind auto-encoders MRI accommodate unpaired training avoid harmonise data previously unseen scanners.Materials methodsA...
To establish the clinical applicability of deep-learning organ-at-risk autocontouring models (DL-AC) for brain radiotherapy. The dosimetric impact contour editing, prior to model training, on performance was evaluated both CT and MRI-based models. correlation between geometric measures also investigated whether assessment is required validation.
Abstract Introduction: This study investigates the dose escalation to dominant intra-prostatic lesions (DILs) that is achievable using single-source-strength (SSS) and dual-source-strength (DSS) low-dose-rate (LDR) prostate brachytherapy a sector-based plan approach. Methods: Twenty patients were retrospectively analysed. Image registration planning undertaken VariSeed v9·0. SSS DSS boost plans produced compared clinical plans. Dosimetric robustness seed displacement for was Monte Carlo...