Prof. Magnus Båth Profile

Prof. Magnus Båth

Senior Medical Physicist at Sahlgrenska Univ Hospital

SPIE Involvement:

Author

Publications (29)

SPIE Journal Paper | 28 October 2024 Open Access

Lung nodule localization and size estimation on chest tomosynthesis

Micael Oliveira Diniz, Mohammad Khalil, Erika Fagman, Jenny Vikgren, Faiz Haj, Angelica Svalkvist, Magnus Båth, Åse Allansdotter Johnsson

JMI, Vol. 12, Issue S1, S13007, (October 2024) https://doi.org/10.1117/12.10.1117/1.JMI.12.S1.S13007

KEYWORDS: Lung, Computed tomography, Tomosynthesis, Chest, Computer aided detection, Visualization, Visibility, Statistical analysis, X-ray computed tomography, Radiology

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SPIE Journal Paper | 14 September 2024 Open Access

Breathing motion compensation in chest tomosynthesis: evaluation of the effect on image quality and presence of artifacts

Maral Mirzai, Jenny Nilsson, Patrik Sund, Rauni Rossi Norrlund, Micael Oliveira Diniz, Bengt Gottfridsson, Ida Häggström, Åse Johnsson, Magnus Båth, Angelica Svalkvist

JMI, Vol. 12, Issue S1, S13004, (September 2024) https://doi.org/10.1117/12.10.1117/1.JMI.12.S1.S13004

KEYWORDS: Image quality, Chest, Tomosynthesis, Anatomy, Image restoration, X-ray computed tomography, Computed tomography, Statistical analysis, Motion analysis, Chest imaging

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PurposeChest tomosynthesis (CTS) has a relatively longer acquisition time compared with chest X-ray, which may increase the risk of motion artifacts in the reconstructed images. Motion artifacts induced by breathing motion adversely impact the image quality. This study aims to reduce these artifacts by excluding projection images identified with breathing motion prior to the reconstruction of section images and to assess if motion compensation improves overall image quality.ApproachIn this study, 2969 CTS examinations were analyzed to identify examinations where breathing motion has occurred using a method based on localizing the diaphragm border in each of the projection images. A trajectory over diaphragm positions was estimated from a second-order polynomial curve fit, and projection images where the diaphragm border deviated from the trajectory were removed before reconstruction. The image quality between motion-compensated and uncompensated examinations was evaluated using the image quality criteria for anatomical structures and image artifacts in a visual grading characteristic (VGC) study. The resulting rating data were statistically analyzed using the software VGC analyzer.ResultsA total of 58 examinations were included in this study with breathing motion occurring either at the beginning or end (n=17) or throughout the entire acquisition (n=41). In general, no significant difference in image quality or presence of motion artifacts was shown between the motion-compensated and uncompensated examinations. However, motion compensation significantly improved the image quality and reduced the motion artifacts in cases where motion occurred at the beginning or end. In examinations where motion occurred throughout the acquisition, motion compensation led to a significant increase in ripple artifacts and noise.ConclusionsCompensation for respiratory motion in CTS by excluding projection images may improve the image quality if the motion occurs mainly at the beginning or end of the examination. However, the disadvantages of excluding projections may outweigh the benefits of motion compensation.

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SPIE Journal Paper | 15 June 2023 Open Access

Visualization of the distortion induced by nonlinear noise reduction in computed tomography

Joel Larsson, Magnus Båth, Anne Thilander-Klang

JMI, Vol. 10, Issue 03, 033504, (June 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.3.033504

KEYWORDS: Distortion, Reconstruction algorithms, Denoising, Image restoration, Visualization, Computed tomography, Quantum noise, Image visualization, Algorithm development, Tunable filters

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SPIE Journal Paper | 10 March 2023

Comparison of image quality assessments between interventional radiographers and interventional radiologists using digital subtraction angiography

Don Nocum, John Robinson, Mark Halaki, Magnus Båth, Nejc Mekiš, Eisen Liang, Nadine Thompson, Michelle Moscova, Warren Reed

JMI, Vol. 10, Issue 02, 025501, (March 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.2.025501

KEYWORDS: Image quality, Radiography, Visualization, Angiography, Anatomy, Visual analytics, Statistical analysis, Medical imaging, Image-guided intervention, Arteries

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Proceedings Article | 4 April 2022 Presentation + Paper

Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality assessment by interventional radiologists and interventional radiographers

Don Nocum, John Robinson, Mark Halaki, Magnus Båth, Nejc Mekiš, Eisen Liang, Nadine Thompson, Michelle Moscova, Warren Reed

Proceedings Volume 12035, 120350I (2022) https://doi.org/10.1117/12.2612548

KEYWORDS: Image quality, Visualization, Visual analytics, Angiography, Statistical analysis, Medical imaging

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Proceedings Article | 24 March 2016 Paper

Detection of pulmonary nodule growth with dose reduced chest tomosynthesis: a human observer study using simulated nodules

Christina Söderman, Åse Johnsson, Jenny Vikgren, Rauni Rossi Norrlund, David Molnar, Maral Mirzai, Angelica Svalkvist, Lars Gunnar Månsson, Magnus Båth

Proceedings Volume 9787, 97870P (2016) https://doi.org/10.1117/12.2216950

KEYWORDS: Chest, Radiology, Radiography, Monte Carlo methods, Medical imaging, Optical spheres, Chest imaging, Statistical analysis, Sensors, Software development

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Chest tomosynthesis may be a suitable alternative to computed tomography for the clinical task of follow up of pulmonary nodules. The aim of the present study was to investigate the detection of pulmonary nodule growth suggestive of malignancy using chest tomosynthesis. Previous studies have indicated remained levels of detection of pulmonary nodules at dose levels corresponding to that of a conventional lateral radiograph, approximately 0.04 mSv, which motivated to perform the present study this dose level. Pairs of chest tomosynthesis image sets, where the image sets in each pair were acquired of the same patient at two separate occasions, were included in the study. Simulated nodules with original diameters of approximately 8 mm were inserted in the pairs of image sets, simulating situations where the nodule had remained stable in size or increased isotropically in size between the two different imaging occasions. Four different categories of nodule growth were included, corresponding to a volume increase of approximately 21 %, 68 %, 108 % and 250 %. All nodules were centered in the depth direction in the tomosynthesis images. All images were subjected to a simulated dose reduction, resulting in images corresponding to an effective dose of 0.04 mSv. Four observers were given the task of rating their confidence that the nodule was stable in size or not on a five-level rating scale. This was done both before any size measurements were made of the nodule as well as after measurements were performed. Using Receiver operating characteristic analysis, the rating data for the nodules that were stable in size was compared to the rating data for the nodules simulated to have increased in size. Statistically significant differences between the rating distributions for the stable nodules and all of the four nodule growth categories were found. For the three largest nodule growths, nearly perfect detection of nodule growth was seen. In conclusion, the present study indicates that during optimal imaging conditions and for nodules with diameters of approximately 8 mm that grow fairly symmetrically, chest tomosynthesis performed at a dose level corresponding to that of a lateral chest radiograph can, with high sensitivity, differentiate nodules stable in size from nodules growing at rates associated with fast growing malignant nodules.

Proceedings Article | 18 March 2015 Paper

An attempt to estimate out-of-plane lung nodule elongation in tomosynthesis images

Artur Chodorowski, Jonathan Arvidsson, Christina Söderman, Angelica Svalkvist, Åse Johnsson, Magnus Båth

Proceedings Volume 9412, 94122J (2015) https://doi.org/10.1117/12.2079901

KEYWORDS: Signal attenuation, Lung, Chest, X-rays, Reconstruction algorithms, Tissues, Sensors, Computer simulations, Radiology, Spatial resolution

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Proceedings Article | 19 March 2014 Paper

Comparison of different approaches of estimating effective dose from reported exposure data in 3D imaging with interventional fluoroscopy systems

Angelica Svalkvist, Jonny Hansson, Magnus Båth

Proceedings Volume 9033, 90333Z (2014) https://doi.org/10.1117/12.2043469

KEYWORDS: Fluoroscopy, Imaging systems, Stereoscopy, X-rays, 3D image processing, Image acquisition, 3D acquisition, Monte Carlo methods, Chest, X-ray imaging

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Proceedings Article | 28 March 2013 Paper

Application of a computed tomography based cystic fibrosis scoring system to chest tomosynthesis

Christina Söderman, Åse Johnsson, Jenny Vikgren, Hans Rystedt, Jonas Ivarsson, Rauni Rossi Norrlund, Lena Nyberg Andersson, Magnus Båth

Proceedings Volume 8673, 86731H (2013) https://doi.org/10.1117/12.2006761

KEYWORDS: Computed tomography, X-ray computed tomography, Lung, Chest, Imaging systems, Cystic fibrosis, Computing systems, Visualization, Radiography, Image resolution

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Proceedings Article | 29 February 2012 Paper

The effect of fixed eye adaptation when using displays with a high luminance range

Patrik Sund, Lars Gunnar Månsson, Magnus Båth

Proceedings Volume 8318, 831808 (2012) https://doi.org/10.1117/12.911286

KEYWORDS: Calibration, Eye, LCDs, Contrast sensitivity, Signal to noise ratio, Display technology, Visibility, Light emitting diodes, LED displays, Medical imaging

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Proceedings Article | 17 March 2011 Paper

Investigation of the effect of varying scatter-to-primary ratios on nodule contrast in chest tomosynthesis

Angelica Svalkvist, Gustaf Ullman, Markus Håkansson, David Dance, Michael Sandborg, Gudrun Alm Carlsson, Magnus Båth

Proceedings Volume 7961, 79615Y (2011) https://doi.org/10.1117/12.873173

KEYWORDS: Monte Carlo methods, Chest, Optical spheres, Lung, Sensors, Signal detection, Medicine, Computed tomography, Photons, Physics

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Proceedings Article | 3 March 2011 Paper

Extended analysis of the effect of learning with feedback on the detectability of pulmonary nodules in chest tomosynthesis

Sara Asplund, Åse Johnsson, Jenny Vikgren, Angelica Svalkvist, Marianne Boijsen, Valeria Fisichella, Agneta Flinck, Åsa Wiksell, Jonas Ivarsson, Hans Rystedt, Lars Gunnar Månsson, Susanne Kheddache, Magnus Båth

Proceedings Volume 7966, 796609 (2011) https://doi.org/10.1117/12.873059

KEYWORDS: Chest, Statistical analysis, Computed tomography, Radiology, Medicine, Radiography, Receivers, Medical imaging, Picture Archiving and Communication System, Electronic filtering

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Proceedings Article | 14 March 2009 Paper

Investigation of the dosimetry of chest tomosynthesis

Angelica Svalkvist, Sara Zachrisson, Lars Gunnar Månsson, Magnus Båth

Proceedings Volume 7258, 72585X (2009) https://doi.org/10.1117/12.810256

KEYWORDS: Chest, Radiography, X-rays, Sensors, Monte Carlo methods, Medicine, X-ray detectors, Diagnostics, Spatial resolution, Quantum efficiency

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Proceedings Article | 13 March 2009 Paper

ViewDEX 2.0: a Java-based DICOM-compatible software for observer performance studies

Markus Håkansson, Sune Svensson, Sara Zachrisson, Angelica Svalkvist, Magnus Båth, Lars Gunnar Månsson

Proceedings Volume 7263, 72631G (2009) https://doi.org/10.1117/12.811511

KEYWORDS: Java, Zoom lenses, Visualization, X-ray imaging, Medical imaging, Radiology, Digital x-ray imaging, X-rays, Image registration, X-ray computed tomography

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Proceedings Article | 13 March 2009 Paper

Evaluation of chest tomosynthesis for the detection of pulmonary nodules: effect of clinical experience and comparison with chest radiography

Sara Zachrisson, Jenny Vikgren, Angelica Svalkvist, Åse Johnsson, Marianne Boijsen, Agneta Flinck, Lars Gunnar Månsson, Susanne Kheddache, Magnus Båth

Proceedings Volume 7263, 72630Z (2009) https://doi.org/10.1117/12.811099

KEYWORDS: Chest, Radiography, Statistical analysis, Radiology, Computed tomography, Receivers, Medicine, Medical imaging, Electronic filtering, Sensors

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Proceedings Article | 18 March 2008 Paper

Impact of dose on observer performance in breast tomosynthesis using breast specimens

Pontus Timberg, Magnus Båth, Ingvar Andersson, Tony Svahn, Mark Ruschin, Bengt Hemdal, Sören Mattsson, Anders Tingberg

Proceedings Volume 6913, 69134J (2008) https://doi.org/10.1117/12.770274

KEYWORDS: Breast, Sensors, Prototyping, Image quality, Polymethylmethacrylate, Mammography, Image resolution, Visualization, Digital mammography, Automatic exposure

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Proceedings Article | 6 March 2008 Paper

Detection of low contrast test patterns on an LCD with different luminance and illuminance settings

Patrik Sund, Magnus Båth, Lars Månsson

Proceedings Volume 6917, 69170N (2008) https://doi.org/10.1117/12.770259

KEYWORDS: Target detection, LCDs, Eye, Light sources and illumination, Contrast sensitivity, Medical imaging, Visualization, X-ray imaging, X-rays, Radiology

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Proceedings Article | 6 March 2008 Paper

VGC analysis: application of the ROC methodology to visual grading tasks

Magnus Båth, Sara Zachrisson, Lars Gunnar Månsson

Proceedings Volume 6917, 69170X (2008) https://doi.org/10.1117/12.770687

KEYWORDS: Image quality, Visualization, Statistical analysis, Visual analytics, Statistical methods, Radiography, Receivers, Visibility, Electronic filtering, Signal detection

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Proceedings Article | 22 March 2007 Paper

ViewDEX: A java-based software for presentation and evaluation of medical images in observer performance studies

Markus Håkansson, Sune Svensson, Magnus Båth, Lars Gunnar Månsson

Proceedings Volume 6509, 65091R (2007) https://doi.org/10.1117/12.709768

KEYWORDS: Java, Medical imaging, Visualization, Zoom lenses, Human-machine interfaces, Radiology, X-ray imaging, Image registration, Medical research, Digital x-ray imaging

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Proceedings Article | 14 March 2007 Paper

Optimization of image quality in breast tomosynthesis using lumpectomy and mastectomy specimens

Pontus Timberg, Mark Ruschin, Magnus Båth, Bengt Hemdal, Ingvar Andersson, Tony Svahn, Sören Mattsson, Anders Tingberg

Proceedings Volume 6510, 651032 (2007) https://doi.org/10.1117/12.709703

KEYWORDS: Image quality, Breast, Sensors, Signal detection, Optical filters, Visualization, 3D image reconstruction, Tumors, Prototyping, Digital mammography

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Proceedings Article | 13 March 2007 Paper

Improved in-plane visibility of tumors using breast tomosynthesis

Mark Ruschin, Pontus Timberg, Tony Svahn, Ingvar Andersson, Bengt Hemdal, Sören Mattsson, Magnus Båth, Anders Tingberg

Proceedings Volume 6510, 65101J (2007) https://doi.org/10.1117/12.707935

KEYWORDS: Tumors, Breast, Signal detection, Signal attenuation, Sensors, Mammography, Visibility, Tissues, Digital mammography, Prototyping

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Proceedings Article | 8 March 2007 Paper

A comparison between 8-bit and 10-bit luminance resolution when generating low-contrast sinusoidal test pattern on an LCD

Patrik Sund, Magnus Båth, Linda Ungsten, Lars Gunnar Månsson

Proceedings Volume 6515, 65150O (2007) https://doi.org/10.1117/12.709248

KEYWORDS: LCDs, Target detection, Eye, Medical research, Modulation, Light sources, Calibration, Operating systems, Light sources and illumination, Light

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Proceedings Article | 17 March 2006 Paper

Potential for lower absorbed dose in digital mammography: a JAFROC experiment using clinical hybrid images with simulated dose reduction

Pontus Timberg, Mark Ruschin, Magnus Båth, Bengt Hemdal, Ingvar Andersson, Sören Mattsson, Dev Chakraborty, Rob Saunders, Ehsan Samei, Anders Tingberg

Proceedings Volume 6146, 614614 (2006) https://doi.org/10.1117/12.653419

KEYWORDS: Image processing, Digital mammography, Tumors, Statistical analysis, Mammography, Breast, Image quality, Computer simulations, Clinical trials, Sensors

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Proceedings Article | 6 April 2005 Paper

Investigation of image components affecting the detection of lung nodules in digital chest radiography

Magnus Bath, Markus Hakansson, Sara Borjesson, Christoph Hoeschen, Oleg Tischenko, Francois Bochud, Francis Verdun, Gustaf Ullman, Susanne Kheddache, Anders Tingberg, Lars Gunnar Mansson

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.595506

KEYWORDS: Lung, Radiography, Chest imaging, Chest, Image processing, X-rays, Sensors, Digital imaging, Medical imaging, X-ray imaging

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Proceedings Article | 6 April 2005 Paper

Shape determination of microcalcifications in simulated digital mammography images with varying pixel size

Mark Ruschin, Magnus Bath, Bengt Hemdal, Anders Tingberg

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.595377

KEYWORDS: Modulation transfer functions, Image filtering, Optical filters, Image processing, Sensors, Digital mammography, Mammography, Scanners, Spatial frequencies, Electronic filtering

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Proceedings Article | 6 April 2005 Paper

Detectability of pathological lesions in lumbar spine radiography

Anders Tingberg, Magnus Bath, Mark Ruschin, Anna Grahn, Jack Besjakov, Sara Borjesson, Markus Hakansson, Soren Mattsson, Lars Gunnar Mansson

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.595683

KEYWORDS: Spine, Radiography, Bone, X-rays, Absorbance, Diagnostics, Radiology, Calibration, Statistical analysis, Pathology

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Proceedings Article | 4 May 2004 Paper

Comparison of two methods for evaluation of image quality of lumbar spine radiographs

Anders Tingberg, Magnus Bath, Markus Hakansson, Joakim Medin, Michael Sandborg, Gudrun Alm-Carlsson, Sören Mattsson, Lars Gunnar Mansson

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.534040

KEYWORDS: Image quality, Modulation transfer functions, Spine, Radiography, Image analysis, Spatial resolution, Visualization, Visual analytics, Visibility, Bone

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Proceedings Article | 28 June 2001 Paper

Method for determining the two-dimensional presampling modulation transfer function in digital radiography

Magnus Bath, Patrik Sund, Lars Mansson

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430942

KEYWORDS: Modulation transfer functions, Fourier transforms, Radiography, X-rays, Imaging systems, Sensors, X-ray imaging, Point spread functions, Lead, Chromium

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Proceedings Article | 28 June 2001 Paper

Investigation of parameters concerning the modulation transfer function in digital radiography

Magnus Bath, Patrik Sund, Lars Mansson

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430933

KEYWORDS: Modulation transfer functions, Sensors, Modulation, Signal processing, Optical transfer functions, Spatial frequencies, Signal detection, Photons, Electrons, Selenium

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Showing 5 of 29 publications

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