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The “OpenPET” geometry has potential for real-time tracking of targeted tumors and in situ visualization of dose distribution in radiation therapy. For the real-time imaging system, we are intending to use one-pass list-mode dynamic row-action maximum likelihood algorithm (DRAMA) and implement it using general-purpose computation on graphics processing unit techniques. However, it is difficult to...
This work is a status report of the job in progress finalized to the estimation of the dose distribution inside the head of a patient undergoing a high resolution CT (Computed Tomography) for the diagnosis of pathologies related to the inner ear. Geant4 (GEometry ANd Tracking) has been used to simulate the head and propagate the particles in the human tissues. The ear has a very complex structure,...
The introduction of adaptive image-guided radiotherapy (ART) has contributed to the rapid accumulation of spatiotemporal medical image data, often making it difficult to consolidate information on a single patient. For oncology patients, the lack of data integration can negatively impact on patient care. We developed a volume visualization system with augmented reality interaction to display radiotherapy...
The precise conversion of CT numbers to their mass densities is essential in dose calculation of radiotherapy for the inhomogeneity. A new neural network algorithm was presented for tissue density calibration. Artificial neural networks are used to learn the relationships between the CT numbers and their mass densities. It neither requires an accurate mathematical model nor needs any priori knowledge...
This study aims to investigate the possibility of implementing serial autoradiography using a silicon strip detector as an imaging modality in pre-clinical radionuclide therapy research, in order to study the effect of non-uniform uptake on absorbed dose distribution and biological response. Tumor tissues expressing CD20 (B-cell lymphoma) or carcinoembryonic antigen (CEA; colorectal cancer) were excised...
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