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Rank #154 · 6 unique linked submissions.
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In conventional MRI, bone and air appear as signal voids due to signal decay, making them difficult to distinguish. This remains a major limitation for synthetic CT (sCT) generation in MRI-based radiotherapy. Although AI-based approaches have shown promise, t...
This study aims to estimate prostate cancer cell survival following Ac-225-PSMA targeted radionuclide therapy by integrating physiologically based pharmacokinetic (PBPK) modeling, Monte Carlo simulations, and the two-lesion kinetic (TLK) radiobiological model...
In MRI-only radiotherapy treatment pathways, synthetic CT (sCT) images can be used for dose calculation, but achieving adequate bony detail in the pelvic region remains challenging. This study aimed to evaluate the performance of multiple AI-based algorithms...
Previously, we showed equivalent success in predicting multiple sclerosis (MS) white matter lesion evolution over two years using separate 3D U-Nets based on either baseline conventional MRI (cMRI) or quantitative MRI (qMRI). Here, we investigated 3D U-Net mo...
Develop an automated method of detecting heart irradiation in Deep Inspiration Breath Hold (DIBH) breast cancer radiation therapy (RT).
Standard glioblastoma (GBM) radiotherapy planning uses uniform margins to expand the gross tumour volume (GTV) to the clinical target volume (CTV) and planning target volume (PTV). This approach does not account for patient-specific microscopic infiltration o...