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Professional Preparation

Civilingenjör i Datateknik 1998 (Master of Science (MSc) in Electrical Engineering), Linköpings Universitet. Master thesis: Segmentation Techniques for Echocardiographic Image Sequences, LiTH, ISY-EX 1934.

Teknologie licentiat 2002, Thesis: Automated Feature Detection in Multidimensional Images - A unified tensor approach. Linköping Studies in science and Technology. Thesis No 909, ISBN 91-7373-131-5, Department of Biomedical Engineering, Linköpings universitet, Sweden.

PhD 2005-04-15. Linköpings Universitet. Thesis: Automated Feature Detection in Multidimensional Images. Linköping Studies in Science and Dissertations. Thesis No 917, ISBN 91-85297-10-0, Department of Biomedical Engineering, Linköpings universitet, Sweden.

Parental leaves

2002-05-15 -- 2002-06-01
2003-01-01 -- 2003-08-20
2004-04-25 -- 2004-08-01
2005-06-03 -- 2006-01-24
2006-01-24 -- 2006-12-30 (part time 20%)
2007-02-01 -- current (part time 30%)
In total approx 15 month full time equivalent after dissertation.

Employment

• From 1998-09-01 to 2004-08-01 Research Engineer, Department of Medicine and Care, Clinical Physiology, LiU. Associated co-worker at the Center for Medical Image Science and Visualization.
• 2005-04-20 to 2008-12-31. Research Engineer, BFC Fysiologiska Kliniken, Lund.
• 2009-01-01 to current. Research Assistant, Department of Clinical Physiology, Lund University.
  

Research interests

Multidimensional image processing, segmentation, three dimensional flow, basic physiology and cardiovascular dynamics.

Memberships

• Workgroup for Cardiovascular MR of European Society of Cardiology
• ISMRM member, Workgroup for Flow and Motion
• Svensk förening för Klinisk Fysiologi
• Associerad medlem i Svenska läkarsällskapet

Grants

• Quantitative Cardiovascular Image Analysis Initiative, 5 000 000 SEK, from Swedish Research Council.
• Coapplicant for grant "Automated segmentation and flow characterization in cardiovascular MRI". 800 000 SEK.
• Stina och Birjer Johanssons Stiftelse: Automatiserad segmentering av vänster kammare från MR-bilder, 50 000 SEK.
• Forskningsmånader från Hjärt-Lungfonden, 45 000 SEK.
• Research grant from Crafoord foundation, 25 000 SEK.

Comissions

• Invited lecturer: Segmentation of Multidimensional Images. GMD Research Institute, Bonn, Germany, 2000.
• Annual reviewer for IEEE Visualization conference. Frequent reviewer for IEEE Transactions on Visualization and Computer Graphics, and IEEE Transactions on Medical Imaging. Annual reviewer for MICCAI.
• Local opponent to Ola Frimans licensiate thesis.
• Faculty Review Board Suppleant for Johan Karlsson PhD defence.

Nominations

• The research software Segment was nominated to the category "Best new Radiology software of the year" by Auntminnie.com, and was one of the semi-finalist candidates.
• Paper Transit of blood flow through the human left ventricle mapped by cardiovascular magnetic resonance awarded prize as best paper of the year 2007 by Journal of Cardiovascular Magnetic Resonance.
• Paper An Improved Method for Automatic Segmentation of the Left Ventricle in Myocardial Perfusion SPECT was chosen as the article of the month by Faculty of Medicine at Lund University.

Managed software

• MPI Toolkit. Parallel programming toolbox for Matlab. Makes it easy to write programs that use multiple processors in a cluster or shared memory environment using Matlab. Approximately around 2000 downloads.
• Extract. Research software for analysis of ultrasound images (segmentation, parameter extraction). Directly reads image files from Vingmed system FiVe ultrasound machines and Echopac. Available on request.
• Tensorarray toolbox. Toolbox for Matlab to manage tensorarray's.
• Segment. Software for analysis of regional and global function of the left ventricle. More than 400 research groups and 73 countries (2009-01-11). Current download rate about 2-3 new research groups/week

Publications
(Se separate publication list)

Supervising experience

• Co-supervisor to PhD student, Anders Nilsson, medicinsk strålningsfysik. Main supervisor professor Freddy Ståhlberg.
• Master student (Pernilla Björklund/Selskog), Thesis: Time-resolved Three-dimensional Reconstruction of the Mitral Annulus from Echocardiography, LiU-IMT-Ex-280, 1999.
• Research project at Biomedical Research School, 2001 & 2002.
• Sommar Research School, Linköpings Universitet, two students 2001.
• Two master students (Stina Hellstrandh, Daniel Stenvall), 2002. Thesis: Implementation and Evaluation of SENSE in 3D MRI. LiU-IMT-EX-334, 2003.
• Master student (Patrik Hersenius). Thesis: Towards an Understanding of the Dynamics and Energy Efficiency of the Human Heart by Mathmetical Modelling.ISRN LUTFD2/TFRT--5787--SE.
  
• Master student (Helen Soneson). Thesis: Strain in the normal human heart assessed by velocity encoded MRI. 2007:E37.
• Master student (Jane Sjögren). Thesis: Prototype based image segmentation. 2008:E11.
• Master student (Johannes Töger). Thesis: Volume Tracking. A novel method for flow visualization. 2008:E40.
• Master student (Peter Holmqvist). Ongoing.

Teaching experience

• Course leader for cardiac MR course 2007, 2008, 2009 (Scandinavian course) for doctors and nurses.
• Guest lectures at various courses; Signaler & System, SK kurs i mätteknik, Ultraljudskurser (2 st), kurs i bildbehandling för radiofysiker.
• Developing and teaching Matlab course (2p) for PhD students.

Ongoing international and national cooperation

• Professor Håkan Arheden, MD, daily medical expertise and very close cooperation on all levels.
• Professor Ann. F. Bolger, MD, University of California, San Francisco, USA. Analysis of three dimensional flow.
• Professor Matts Karlsson. Linköpings universitet. CFD simulations in patient-specific vessels.
• Tino Ebbers, PhD, CMIV, Linköpings Universitet. Refinements and pulse sequence optimization for 3D flow MRI.
• Professor Gustaf Söderlind. Numerical Analysis, Centre for Mathematical Sciences, Lund University.
• Professor Lena Struwe, Dept. of Plant Biology & Pathology, Rutgers University, USA. Novel statistical methods to handle non-parametric biological data.