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University of Victoria
To compare the reproducibility of radiomics features between deep learning (DL) and adaptive statistical iterative reconstruction (ASIR) CT images under systematic acquisition parameter variations using the GE Revolution Apex scanner.
Single-photon counting computed tomography (SPCCT) offers distinct advantages over conventional CT through energy-resolved measurements, enhanced spatial resolution, and improved soft-tissue contrast. While SPCCT demonstrates utility in diagnostic imaging, it...
To optimize a N-Isopropylacrylamide (NIPAM)-based polymer gel dosimeter for kilovoltage x-ray irradiations, and to demonstrate its application for 3D isocenter verification.
To evaluate the reproducibility and electron density sensitivity of CT radiomics features across spectral image types and deep learning reconstruction levels using a tissue-equivalent phantom.