Technical and algorithmic approaches for medical photon counting computed tomography in the example of coronary artery calcium quantification
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Auditorium 6, Oulu University Hospital, Zoom link: https://oulu.zoom.us/j/69898372694?pwd=MmhGZU9VTkVOMFJ3RWZtMTlJV3ppdz09
Topic of the dissertation
Technical and algorithmic approaches for medical photon counting computed tomography in the example of coronary artery calcium quantification
Doctoral candidate
Master of Science Mikael Juntunen
Faculty and unit
University of Oulu Graduate School, Faculty of Medicine, Research unit of medical imaging, physics and technology
Subject of study
Medical physics
Opponent
Docent Mika Kortesniemi, HUS Medical Imaging Center, Helsinki University Hospital
Custos
Professor Miika Nieminen, Research unit of medical imaging, physics and technology; University of Oulu
Technical and algorithmic approaches for medical photon counting computed tomography of coronary arteries
In this dissertation, the suitability of a novel photon counting X-ray detector and advanced image reconstruction algorithms for computed tomography of coronary arteries was addressed. Since computed tomography utilizes ionizing radiation, the use of the radiation has to be optimized.
Photon counting detector and image reconstruction techniques may reduce the radiation dose without affecting the image quality when compared to the current generation of X-ray detectors and conventional non-iterative image reconstruction techniques. Moreover, the accuracy of tissue quantification with photon counting computed tomography was addressed.
In this study, we developed the necessary calibration framework for a photon counting detector, and we showed that this detector technology and the used image reconstruction algorithms allow the reduction of the radiation dose. Furthermore, the dissertation demonstrated that photon counting yields accurate quantification of coronary artery calcium density and mass.
Photon counting detector and image reconstruction techniques may reduce the radiation dose without affecting the image quality when compared to the current generation of X-ray detectors and conventional non-iterative image reconstruction techniques. Moreover, the accuracy of tissue quantification with photon counting computed tomography was addressed.
In this study, we developed the necessary calibration framework for a photon counting detector, and we showed that this detector technology and the used image reconstruction algorithms allow the reduction of the radiation dose. Furthermore, the dissertation demonstrated that photon counting yields accurate quantification of coronary artery calcium density and mass.
Last updated: 1.3.2023