A5045652703- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Digital Radiography and Breast Imaging
- Advanced X-ray and CT Imaging
- Peptidase Inhibition and Analysis
- Radiopharmaceutical Chemistry and Applications
- Artificial Intelligence in Healthcare and Education
The University of Western Australia
2021-2025
Sir Charles Gairdner Hospital
2022-2025
Abstract Objective . Clinical implementation of synthetic CT (sCT) from cone-beam (CBCT) for adaptive radiotherapy necessitates a high degree anatomical integrity, Hounsfield unit (HU) accuracy, and image quality. To achieve these goals, vision-transformer anatomically sensitive loss functions are described. Better quantification quality is achieved using the alignment-invariant Fréchet inception distance (FID), uncertainty estimation sCT risk prediction implemented in scalable plug-and-play...
Abstract Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting evaluating most suitable solution. To support adoption of AI systems, Selection Criteria recommendations were developed enable a holistic evaluation vendors, considering not only raw performance but associated risks uniquely related deployment AI....
Extending cone-beam CT (CBCT) use toward dose accumulation and adaptive radiotherapy (ART) necessitates more accurate HU reproduction since geometries are heavily degraded by photon scatter. This study proposes a novel method which aims to demonstrate how deep learning based on phantom data can be used effectively for CBCT intensity correction in patient images. Four anthropomorphic phantoms were scanned conventional fan-beam system. Intensity is performed estimating the deviations from...
[68Ga]Ga-PSMA-11 PET has become the standard imaging modality for biochemically recurrent (BCR) prostate cancer (PCa). However, its prognostic value in assessing response at this stage remains uncertain. The study aimed to assess significance of radiographic patient-level patterns progression derived from lesion-level biomarker quantitation metastatic disease sites. A total 138 BCR PCa patients with both baseline and follow-up scans were included analysis. Tumour was quantified lesion level...