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Biosketch: Professor Magnus Båth

Magnus Båth is professor in Radiation Physics at University of Gothenburg and Senior Medical Physicist at Sahlgrenska University Hospital. He specialises in research related to optimisation of medical imaging. Within this field his research interests include development of methods for observer performance studies and image detector evaluations, the limitations of projection radiography and evaluation of image quality. A recent research interest concerns the introduction of tomosynthesis in healthcare and its effect on diagnostics, patient radiation doses and education of medical expertise.

Current research activities

Båth is currently engaged in several studies related to optimisation of medical imaging, mainly in the following three projects:

  • Clinical and clinically relevant evaluation and optimisation of chest tomosynthesis. (Funded by the Swedish Radiation Safety Authority, the King Gustav V Jubilee Clinic Cancer Research Foundation, the Health & Medical Care Committee of the Region Västra Götaland and the Swedish Research Council)
  • Improved detectability in radiology; Tools for optimal use of radiation in projection radiography, tomosynthesis and computed tomography.
  • Improvement of gamma camera examinations in nuclear medicine by maximization of the collection efficiency. (Funded by the Center for Clinical Research in Värmland).

Recent and forthcoming publications

R Lorentsson, N Hosseini, J-O Johansson, W Rosenberg, B Stenborg, L G Månsson and M Båth. Method for automatic detection of defective ultrasound linear array transducers based on uniformity assessment of clinical images – a case study. J. Appl. Clin. Med. Phys. 2018 (published online)

T Rydén, J Heydorn Lagerlöf, J Hemmingsson, I Marin, J Svensson, M Båth, P Gjertsson och P Bernhardt. Fast GPU-based Monte Carlo code for SPECT/CT reconstructions generates improved 177Lu images. EJNMMI Phys. 5, 1, 2018.

F Svensson, C Söderman, A Svalkvist, R R Norrlund, J Vikgren, Å A Johnsson och M Båth. Evaluation of a corrected implementation of a method of simulating pulmonary nodules in chest tomosynthesis. Acta Radiol. 58, 408-413, 2017.

J T Dobbins III, H P McAdams, J M Sabol, D P Chakraborty, E A Kazerooni, G P Reddy, J Vikgren och M Båth. Multi-institutional evaluation of digital tomosynthesis, dual-energy radiography, and conventional chest radiography for the detection and management of pulmonary nodules. Radiology 282, 236-250, 2017.

R Lorentsson, N Hosseini, J-O Johansson, W Rosenberg, B Stenborg, L G Månsson och M Båth. Comparison of the low-contrast detectability of two ultrasound systems using a grayscale phantom. J. Appl. Clin. Med. Phys. 17, 366-378, 2016.

J Mangat, J Morgan, E Benson, M Båth, M Lewis and A Reilly. A study of the image quality of computed tomography adaptive statistical iterative reconstructed brain images using subjective and objective methods. Radiat. Prot. Dosimetry 169, 92-99, 2016.

A Almén, V Sandblom, H Rystedt, A von Wrangel, J Ivarsson, M Båth and C Lundh. Optimisation of occupational radiation protection in image-guided interventions: exploring video recordings as a tool in the process. Radiat. Prot. Dosimetry 169, 425-429, 2016.

T Magnander, J Svensson, M Båth, P Gjertsson and P Bernhardt. Improved planar kidney activity concentration estimate by the posterior view method in 177Lu-DOTATATE treatments. Radiat. Prot. Dosimetry 169, 259-266, 2016.

C Söderman, Å A Johnsson, J Vikgren, R R Norrlund, D Molnar, A Svalkvist, L G Månsson and M Båth. Effect of radiation dose level on accuracy and precision of manual size measurements in chest tomosynthesis evaluated using simulated pulmonary nodules. Radiat. Prot. Dosimetry 169, 188-198, 2016.

C Petersson, M Båth, J Vikgren and Å A Johnsson. An analysis of the potential of chest tomosynthesis in optimising imaging resources in thoracic radiology. Radiat. Prot. Dosimetry 169, 165-170, 2016.

J Hansson, L G Månsson and M Båth. The validity of using ROC software for analysing visual grading characteristics data: an investigation based on the novel software VGC Analyzer. Radiat. Prot. Dosimetry 169, 54-59, 2016.

J Larsson, M Båth, K Ledenius, H Caisander and A Thilander-Klang. 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. Radiat. Prot. Dosimetry 169, 123-129, 2016.

J Larsson, M Båth, K Ledenius and A Thilander-Klang. The effect of Adaptive Statistical iterative Reconstruction on the assessment of diagnostic image quality and visualisation of anatomical structures in paediatric cerebral CT examinations. Radiat. Prot. Dosimetry 169, 115-122, 2016.

E Ceder, B Danielson, P Kovàč, H Fogel, A Svalkvist, J Vikgren and M Båth. Thoracic spine imaging: a comparison between radiography and tomosynthesis using visual grading characteristics. Radiat. Prot. Dosimetry 169, 204-210, 2016.

C Meltzer, M Båth, S Kheddache, H Ásgeirsdóttir, M Gilljam and Å A Johnsson. Visibility of structures of relevance for patients with cystic fibrosis in chest tomosynthesis: influence of anatomical location and observer experience. Radiat. Prot. Dosimetry 169, 177-187, 2016.

A Svalkvist, S Svensson, M Håkansson, M Båth and L G Månsson. ViewDEX: a status report. Radiat. Prot. Dosimetry 169, 38-45, 2016.

T Magnander, E Wikberg, J Svensson, P Gjertsson, B Wängberg, M Båth and P Bernhardt. A novel statistical method to improve the detection of hepatic foci of 111In-octreotide in SPECT/CT imaging. EJNMMI Phys. 3, 1, 2016.

M Båth and J Hansson. VGC Analyzer: a software for statistical analysis of fully crossed multiple-reader multiple-case visual grading characteristics studies. Radiat. Prot. Dosimetry 169, 46-53, 2016.

C Söderman, Å A Johnsson, J Vikgren, R R Norrlund, D Molnar, A Svalkvist, L G Månsson and M Båth. Influence of the in-plane artefact in chest tomosynthesis on pulmonary nodule size measurements. Radiat. Prot. Dosimetry 169, 199-203, 2016.

A Almén and M Båth. A conceptual framework for managing radiation dose to patients in diagnostic radiology using reference dose levels. Radiat. Prot. Dosimetry 169, 17-23, 2016.

J Arvidsson, C Söderman, Å A Johnsson, P Bernhardt, G Starck, F Kahl and M Båth. Image fusion of reconstructed digital tomosynthesis volumes from a frontal and a lateral acquisition. Radiat. Prot. Dosimetry 169, 410-415, 2016.

J Ivarsson, H Rystedt, S Asplund, Å A Johnsson and M Båth. The application of improved, structured and interactive group learning methods in diagnostic radiology. Radiat. Prot. Dosimetry 169, 416-421, 2016.

A Svalkvist, C Söderman and M Båth. Effective dose to patients from thoracic spine examinations with tomosynthesis. Radiat. Prot. Dosimetry 169, 274-280, 2016.

M Båth, C Söderman and A Svalkvist. Retrospective estimation of patient dose-area product in thoracic spine tomosynthesis performed using VolumeRAD. Radiat. Prot. Dosimetry 169, 281-285, 2016.

C Söderman, Å Johnsson, J Vikgren, R R Norrlund, D Molnar, M Mirzai, A Svalkvist, L G Månsson and M Båth. Detection of pulmonary nodule growth with dose reduced chest tomosynthesis: a human observer study using simulated nodules. Proc. SPIE 9787, 97870P.1-97870P.11, 2016.

B Svenson, L Larsson and M Båth. Optimization of exposure in panoramic radiography while maintaining image quality using adaptive filtering. Acta Odontol. Scand. 74, 229-235, 2016.

A Svalkvist, J Hansson and M Båth. Estimating effective dose from 3D imaging with interventional fluoroscopy systems using limited exposure data. Acta Radiol. 57, 356-361, 2016.

Photo of Magnus Båth

Magnus Båth


Page Manager: Elin Johansson|Last update: 1/15/2018

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