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Magnusson Seger, MariaORCID iD iconorcid.org/0000-0002-9072-2204
Alternative names
Publications (10 of 25) Show all publications
Kardell, M., Magnusson, M., Sandborg, M., Alm Carlsson, G., Jeuthe, J. & Malusek, A. (2016). AUTOMATIC SEGMENTATION OF PELVIS FOR BRACHYTHERAPYOF PROSTATE. Radiation Protection Dosimetry, 169(1-4), 398-404
Open this publication in new window or tab >>AUTOMATIC SEGMENTATION OF PELVIS FOR BRACHYTHERAPYOF PROSTATE
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2016 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 169, no 1-4, p. 398-404Article in journal (Refereed) Published
Abstract [en]

Advanced model-based iterative reconstruction algorithms in quantitative computed tomography (CT) perform automatic segmentation of tissues to estimate material properties of the imaged object. Compared with conventional methods, these algorithms may improve quality of reconstructed images and accuracy of radiation treatment planning. Automatic segmentation of tissues is, however, a difficult task. The aim of this work was to develop and evaluate an algorithm that automatically segments tissues in CT images of the male pelvis. The newly developed algorithm (MK2014) combines histogram matching, thresholding, region growing, deformable model and atlas-based registration techniques for the segmentation of bones, adipose tissue, prostate and muscles in CT images. Visual inspection of segmented images showed that the algorithm performed well for the five analysed images. The tissues were identified and outlined with accuracy sufficient for the dual-energy iterative reconstruction algorithm whose aim is to improve the accuracy of radiation treatment planning in brachytherapy of the prostate.

National Category
Medical Image Processing
Identifiers
urn:nbn:se:liu:diva-122978 (URN)10.1093/rpd/ncv461 (DOI)000383492100063 ()26567322 (PubMedID)
Funder
Swedish Cancer Society, CAN 2012/764Swedish Cancer Society, CAN 2014/691
Note

Funding agencies: Swedish Cancer Foundation [CAN 2012/764, CAN 2014/691]; Medical Faculty, Linkoping University; ALF Grants, Region Ostergotland [LiO-438731]

Available from: 2015-12-01 Created: 2015-12-01 Last updated: 2017-12-01
Örtenberg, A., Magnusson, M., Sandborg, M., Alm Carlsson, G. & Malusek, A. (2016). PARALLELISATION OF THE MODEL-BASED ITERATIVE RECONSTRUCTION ALGORITHM DIRA. Radiation Protection Dosimetry, 169(1-4), 405-409
Open this publication in new window or tab >>PARALLELISATION OF THE MODEL-BASED ITERATIVE RECONSTRUCTION ALGORITHM DIRA
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2016 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 169, no 1-4, p. 405-409Article in journal (Refereed) Published
Abstract [en]

New paradigms for parallel programming have been devised to simplify software development on multi-core processors and many-core graphical processing units (GPU). Despite their obvious benefits, the parallelisation of existing computer programs is not an easy task. In this work, the use of the Open Multiprocessing (OpenMP) and Open Computing Language (OpenCL) frameworks is considered for the parallelisation of the model-based iterative reconstruction algorithm DIRA with the aim to significantly shorten the code’s execution time. Selected routines were parallelised using OpenMP and OpenCL libraries; some routines were converted from MATLAB to C and optimised. Parallelisation of the code with the OpenMP was easy and resulted in an overall speedup of 15 on a 16-core computer. Parallelisation with OpenCL was more difficult owing to differences between the central processing unit and GPU architectures. The resulting speedup was substantially lower than the theoretical peak performance of the GPU; the cause was explained.

Place, publisher, year, edition, pages
Oxford university press: , 2016
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:liu:diva-123009 (URN)10.1093/rpd/ncv430 (DOI)000383492100064 ()26454270 (PubMedID)
Funder
Swedish Cancer Society, CAN 2012/764Swedish Cancer Society, CAN 2014/691
Note

Funding agencies: Swedish Cancer Foundation [CAN 2012/764, CAN 2014/691]

Available from: 2015-12-01 Created: 2015-12-01 Last updated: 2018-01-10
Malusek, A., Magnusson, M., Sandborg, M., Westin, R. & Alm Carlsson, G. (2014). Prostate tissue decomposition via DECT using the modelbased iterative image reconstruction algorithm DIRA. In: Bruce R. Whiting; Christoph Hoeschen; Despina Kontos (Ed.), Medical Imaging 2014: Physics of Medical Imaging. Paper presented at Medical Imaging 2014 - Physics of Medical Imaging, San Diego, California, United States, 17–20 February 2014 (pp. Art.nr. 90333H). SPIE - International Society for Optical Engineering, 9033(90333H)
Open this publication in new window or tab >>Prostate tissue decomposition via DECT using the modelbased iterative image reconstruction algorithm DIRA
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2014 (English)In: Medical Imaging 2014: Physics of Medical Imaging / [ed] Bruce R. Whiting; Christoph Hoeschen; Despina Kontos, SPIE - International Society for Optical Engineering, 2014, Vol. 9033, no 90333H, p. Art.nr. 90333H-Conference paper, Published paper (Refereed)
Abstract [en]

Better knowledge of elemental composition of patient tissues may improve the accuracy of absorbed dose delivery in brachytherapy. Deficiencies of water-based protocols have been recognized and work is ongoing to implement patient-specific radiation treatment protocols. A model based iterative image reconstruction algorithm DIRA has been developed by the authors to automatically decompose patient tissues to two or three base components via dual-energy computed tomography. Performance of an updated version of DIRA was evaluated for the determination of prostate calcification. A computer simulation using an anthropomorphic phantom showed that the mass fraction of calcium in the prostate tissue was determined with accuracy better than 9%. The calculated mass fraction was little affected by the choice of the material triplet for the surrounding soft tissue. Relative differences between true and approximated values of linear attenuation coefficient and mass energy absorption coefficient for the prostate tissue were less than 6% for photon energies from 1 keV to 2 MeV. The results indicate that DIRA has the potential to improve the accuracy of dose delivery in brachytherapy despite the fact that base material triplets only approximate surrounding soft tissues.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2014
Series
Progress in Biomedical Optics and Imaging, ISSN 1605-7422 ; Vol. 9033
Keywords
Dual energy computed tomography, model based iterative reconstruction algorithm, brachytherapy, prostate calcification
National Category
Clinical Medicine
Identifiers
urn:nbn:se:liu:diva-107506 (URN)10.1117/12.2043445 (DOI)000338775800120 ()2-s2.0-84901613219 (Scopus ID)
Conference
Medical Imaging 2014 - Physics of Medical Imaging, San Diego, California, United States, 17–20 February 2014
Available from: 2014-06-13 Created: 2014-06-13 Last updated: 2015-08-20Bibliographically approved
Malusek, A., Karlsson, M., Magnusson, M. & Alm Carlsson, G. (2013). The potential of dual-energy computed tomography for quantitative decomposition of soft tissues to water, protein and lipid in brachytherapy. Physics in Medicine and Biology, 58(4), 771-785
Open this publication in new window or tab >>The potential of dual-energy computed tomography for quantitative decomposition of soft tissues to water, protein and lipid in brachytherapy
2013 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560, Vol. 58, no 4, p. 771-785Article in journal (Refereed) Published
Abstract [en]

Dosimetric accuracy of radiation treatment planning in brachytherapy depends on knowledge of tissue composition. It has been speculated that soft tissues can be decomposed to water, lipid and protein. The aim of our work is to evaluate the accuracy of such tissue decomposition. Selected abdominal soft tissues, whose average elemental compositions were taken from literature, were decomposed using dual energy computed tomography to water, lipid and protein via the three-material decomposition method. The quality of the decomposition was assessed using relative differences between (i) mass energy absorption and (ii) mass energy attenuation coefficients of the analyzed and approximated tissues. It was found that the relative differences were less than 2% for photon energies larger than 10 keV. The differences were notably smaller than the ones for water as the transport and dose scoring medium. The choice of the water, protein and lipid triplet resulted in negative elemental mass fractions for some analyzed tissues. As negative elemental mass fractions cannot be used in general purpose particle transport computer codes using the Monte Carlo method, other triplets should be used for the decomposition. These triplets may further improve the accuracy of the approximation as the differences were mainly caused by the lack of high-Z materials in the water, protein and lipid triplet.

Place, publisher, year, edition, pages
Institute of Physics, 2013
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-89734 (URN)10.1088/0031-9155/58/4/771 (DOI)000314396800004 ()
Note

Funding Agencies|Swedish Cancer Society (Cancerfonden)|100 512|

Available from: 2013-03-05 Created: 2013-03-05 Last updated: 2017-12-06
Magnusson, M., Dahlqvist Leinhard, O., van Ettinger-Veenstra, H. & Lundberg, P. (2012). FMRI Using 3D PRESTO-CAN - A Novel Method Based on Golden Angle Hybrid Radial-Cartesian Sampling of K-Space. Paper presented at ISMRM, Melbourne, Australia, 5-11 May, 2012.
Open this publication in new window or tab >>FMRI Using 3D PRESTO-CAN - A Novel Method Based on Golden Angle Hybrid Radial-Cartesian Sampling of K-Space
2012 (English)Conference paper, Published paper (Other academic)
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-78783 (URN)
Conference
ISMRM, Melbourne, Australia, 5-11 May, 2012
Available from: 2012-06-20 Created: 2012-06-20 Last updated: 2019-06-14
Magnusson, M., Dahlqvist Leinhard, O. & Lundberg, P. (2011). A 3D-Plus-Time Radial-Cartesian Hybrid Sampling of K-Space With High Temporal Resolution and Maintained Image Quality for MRI and FMRI. Paper presented at ISMRM, Montreal 2011.
Open this publication in new window or tab >>A 3D-Plus-Time Radial-Cartesian Hybrid Sampling of K-Space With High Temporal Resolution and Maintained Image Quality for MRI and FMRI
2011 (English)Conference paper, Published paper (Refereed)
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-73678 (URN)
Conference
ISMRM, Montreal 2011
Available from: 2012-01-11 Created: 2012-01-11 Last updated: 2019-06-14
Magnusson, M., Malusek, A., Muhammad, A. & Alm Carlsson, G. (2011). Determination of  Quantitative Tissue Composition by Iterative Reconstruction on 3D DECT Volumes. Paper presented at Proc 11:th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Potsdam, Germany.
Open this publication in new window or tab >>Determination of  Quantitative Tissue Composition by Iterative Reconstruction on 3D DECT Volumes
2011 (English)Conference paper, Published paper (Refereed)
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-75375 (URN)
Conference
Proc 11:th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Potsdam, Germany
Available from: 2012-03-01 Created: 2012-02-28 Last updated: 2015-03-20Bibliographically approved
Ahlman, G., Magnusson, M., Dahlqvist Leinhard, O. & Lundberg, P. (2011). Increased temporal resolution in radial-Cartesian sampling of k-space by implementation of parallel imaging. In: : . Paper presented at ESMRMB 2011, 28th Annual Scientific Meeting, 6-8 October 2011, Leipzig, Germany. Springer
Open this publication in new window or tab >>Increased temporal resolution in radial-Cartesian sampling of k-space by implementation of parallel imaging
2011 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2011
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-73635 (URN)
Conference
ESMRMB 2011, 28th Annual Scientific Meeting, 6-8 October 2011, Leipzig, Germany
Available from: 2012-01-10 Created: 2012-01-10 Last updated: 2019-06-14
Magnusson, M., Malusek, A., Muhammad, A. & Alm Carlsson, G. (2011). Iterative Reconstruction for QuantitativeTissue Decomposition in Dual-Energy CT. In: Anders Heyden,Fredrik Kahl (Ed.), Proceedings of the 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011.: . Paper presented at Proceedings 17th Scandinavian Conference on Image Analysis (SCIA) 2011, May 23-27, Ystad, Sweden (pp. 479-488). Springer Berlin/Heidelberg
Open this publication in new window or tab >>Iterative Reconstruction for QuantitativeTissue Decomposition in Dual-Energy CT
2011 (English)In: Proceedings of the 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. / [ed] Anders Heyden,Fredrik Kahl, Springer Berlin/Heidelberg, 2011, p. 479-488Conference paper, Published paper (Refereed)
Abstract [en]

Quantitative tissue classification using dual-energy CT has the potential to improve accuracy in radiation therapy dose planning as it provides more information about material composition of scanned objects than the currently used methods based on single-energy CT. One problem that hinders successful application of both single-and dualenergy CT is the presence of beam hardening and scatter artifacts in reconstructed data. Current pre-and post-correction methods used for image reconstruction often bias CT numbers and thus limit their applicability for quantitative tissue classification. Here we demonstrate simulation studies with a novel iterative algorithm that decomposes every soft tissue voxel into three base materials: water, protein and adipose. The results demonstrate that beam hardening artifacts can effectively be removed and accurate estimation of mass fractions of all base materials can be achieved. In the future, the algorithm may be developed further to include segmentation of soft and bone tissue and subsequent bone decomposition, extension from 2-D to 3-D and scatter correction.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2011
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 6688
Keywords
Iterative reconstruction, Dual energy CT, Tissue classifica
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-75345 (URN)10.1007/978-3-642-21227-7_45 (DOI)978-3-642-21226-0 (ISBN)978-3-642-21227-7 (ISBN)
Conference
Proceedings 17th Scandinavian Conference on Image Analysis (SCIA) 2011, May 23-27, Ystad, Sweden
Available from: 2012-03-01 Created: 2012-02-27 Last updated: 2018-02-15Bibliographically approved
Karlsson, A., Magnusson, M., Dahlqvist Leinhard, O. & Lundberg, P. (2011). Successful Motion Correction in Reconstruction of Radial MRI. Paper presented at ESMRMB, Leipzig 2011.
Open this publication in new window or tab >>Successful Motion Correction in Reconstruction of Radial MRI
2011 (English)Conference paper, Published paper (Refereed)
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-73633 (URN)
Conference
ESMRMB, Leipzig 2011
Available from: 2012-01-10 Created: 2012-01-10 Last updated: 2019-06-14
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9072-2204

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