Working with research at Sectra

Ever since Sectra was created as a spin-out from Linköping University, scientific advances has been a foundation for the commercial solution development. A core strategy for meeting emerging clinical needs is to embrace the latest academic achievements, but also to make our own scientific breakthroughs.
The Research Department at Sectra is a vital part of the company’s innovation efforts. We are a team of scientists, most with PhD degrees, that develop knowledge, methods and prototypes to pave the way for product development. The work is done in close collaboration with academic and healthcare professionals all over the world.

The main scientific domains we work in are artificial intelligence, image analysis, visualization, human-computer-interaction, and informatics. The overall mission is, as for the company as a whole, to provide value to Sectra’s healthcare customers, but at a longer time perspective allowing exploratory work.

A common result of the research efforts is scientific publications, a great vehicle to engage in and benefit from the academic communities. Out of the 100+ publications from the Research department and its collaborations over the years, a few representative ones are presented below.

For more information, contact Research Director Dr. Claes Lundström, claes.lundstrom@sectra.com.

Selected publications

  • Synchronized navigation of current and prior studies using image registration improves radiologist’s efficiency
    D Forsberg, A Gupta, C Mills, B MacAdam, B Rosipko, B A Bangert, M D Coffey, C Kosmas, J L Sunshine
    International Journal of Computer Assisted Radiology and Surgery, 2017
  • Transfer Function Design Toolbox for Full-Color Volume Datasets
    M Falk, I Hotz, P Ljung, D Treanor, A Ynnerman, C Lundström
    IEEE Pacific Visualization Symposium, 2017
  • Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data
    D Forsberg, E Sjöblom, JL Sunshine
    Journal of Digital Imaging, 2017
  • Slide navigation patterns among pathologists with long experience of digital review
    J Molin, M Fjeld, C Mello‐Thoms, C Lundström
    Histopathology, 2015
  • Potential sources of quantification error when retrospectively assessing metacarpal bone loss from historical radiographs by using digital X-ray radiogrammetry: an experimental study
    J Kälvesten, T B Brismar, A Persson
    Journal of Clinical Densitometry, 2014
  • Fully automatic measurements of axial vertebral rotation for assessment of spinal deformity in idiopathic scoliosis
    D Forsberg, C Lundström, M Andersson, L Vavruch, H Tropp, H Knutsson
    Physics in Medicine and Biology, 2013
  • Multi-touch table system for medical visualization: application to orthopedic surgery planning
    C Lundstrom, T Rydell, C Forsell, A Persson, A Ynnerman
    IEEE Transactions on Visualization and Computer Graphics, 2011
  • Uncertainty visualization in medical volume rendering using probabilistic animation
    C Lundstrom, P Ljung, A Persson, A Ynnerman
    IEEE Transactions on Visualization and Computer Graphics, 2007
  • Phase-based multidimensional volume registration
    M Hemmendorff, M T Andersson, T Kronander, H Knutsson
    IEEE Transactions on Medical Imaging, 2002



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