- Home
- About
- Find staff
- Joel Larsson
Joel Larsson
About Joel Larsson
Joel Larsson will defend his doctoral thesis in the research subject of medical radiation science, December 2, 2022
The title of his thesis is – Effects of nonlinear noise reduction algorithms on image quality in computed tomography systems. Evaluations using human observers and methods for assessing distortion
Link to the thesis - link coming soon
-
Visualization of the distortion induced by nonlinear noise reduction in computed
tomography
Joel Larsson, Magnus Båth, Anne Thilander-Klang
Journal of Medical Imaging - 2023 -
Effects of nonlinear noise reduction algorithms on image quality in computed tomography systems. Evaluations using human observers and methods for assessing
distortion
Joel Larsson
2022 -
FREQUENCY RESPONSE AND DISTORTION PROPERTIES OF RECONSTRUCTION ALGORITHMS IN COMPUTED
TOMOGRAPHY
Joel Larsson, Magnus Båth, Anne Thilander-Klang
Radiation Protection Dosimetry - 2021 -
The effect of Adaptive Statistical iterative Reconstruction (ASiR) on the assessment of diagnostic quality and visualisation of anatomical structures in paediatric head CT
examinations
Joel Larsson, Magnus Båth, Kerstin Ledenius, Anne Thilander-Klang
Radiation protection dosimetry - 2016 -
Assessment of clinical image quality in paediatric abdominal CT examinations: dependency on the level of adaptive statistical iterative reconstruction (ASiR) and the type of convolution
kernel
Joel Larsson, Magnus Båth, Kerstin Ledenius, Håkan Caisander, Anne Thilander-Klang
Radiation protection dosimetry - 2016 -
The effect of adaptive statistical iterative reconstruction (ASIR) on the assessment of diagnostic quality and visualisation of anatomical structures in paediatric head CT
examinations
Joel Larsson, Magnus Båth, Kerstin Ledenius, Anne Thilander-Klang
Optimisation in X-ray and Molecular Imaging 2015 - the Fourth Malmö Conference on Medical Imaging, Gothenburg, Sweden, 28-30 May 2015 - 2015 -
Assessment of clinical image quality in paediatric abdominal CT examinations – dependency on level of adaptive statistical iterative reconstruction (ASIR) and type of convolution
kernel
Joel Larsson, Magnus Båth, Kerstin Ledenius, Håkan Caisander, Anne Thilander-Klang
Optimisation in X-ray and Molecular Imaging 2015 - the Fourth Malmö Conference on Medical Imaging, Gothenburg, Sweden, 28-30 May 2015 - 2015