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Liver cancer treatment, especially for metastatic cases, poses significant challenges in accurately targeting tumours while sparing healthy tissue. Radioembolisation with yttrium-90 (Y-90) microspheres is a promising technique, but precise imaging of microsphere distribution is crucial. This study utilises T-PEPT, a novel Positron Emission Particle Tracking (PEPT) algorithm that combines topological data analysis with machine learning to identify Y-90 microsphere clusters in a digital twin of a patient's liver.
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This dateset is mainly used to submit simulation files and code related to the communication that has been submitted to IEEE-TAP.
The title of the communicationis ”Inverse Design Method Based on Spectral Analysis for Aperture Field Starting from Arbitrary Phaseless Radiation Pattern“.
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