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Joel Larsson defended his doctoral thesis in medical radiation science on December 2, 2022. His research primarily focuses on the effects of nonlinear noise reduction algorithms on image quality within computed tomography (CT) systems. His evaluations utilize methods assessing distortion through the perspectives of human observers, aiming to improve the diagnostic capabilities of imaging techniques. He has co-authored several significant publications including studies on frequency response distortion properties of reconstruction algorithms tailored for medical imaging applications. In addition, Larsson has contributed to research addressing the clinical image quality in pediatric CT examinations while examining the dependencies related to adaptive statistical iterative reconstruction methods.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).