Daniel Jönsson

Research Fellow

Contact Information

Phone: +46 (0)11-36 33 27
Office: Kopparhammaren 2 - Room 2068

Solving the organ function visualization puzzle

Radiologists love images! Their daily work consists of looking at images of a patient’s internal organs and determining if the patient is sick or healthy. The images of the internal organs are produced by scanners at the hospital. The scanners of the early nineties could only produce a handful of images for the radiologist to make a diagnosis. Scanners today can scan the whole body and produce thousands of images with millimeter resolution of a single patient. Upcoming scanners are able to scan over time and thereby record movements inside the body. This is a fantastic opportunity since it allows a radiologist to make a diagnosis based on the function of the organs as they are moving. However, it is impossible for the radiologist to use the same workflow to investigate hundreds of thousands of images that can be produced by the new scanners. New tools are needed that can visualize relevant information and at the same time manage the enormous amount of data that is produced. 

To support the radiologists in their work I do research on methods that can deal with the large amount of data that is produced by the scanners while maintaining high image quality.  Algorithms that produce high image quality require expensive computations, which prevent large amount of data to be handled. In order to solve this puzzle we try to answer the question: If the images look similar over time, can we reduce the amount of work by making use of computations that was made before?

We first try to identify which part of an algorithm that can be changed such that computations can be reused. We then investigate what information that needs to be supplied in order to know which computations that should be redone. Given these two pieces of the puzzle we face the challenge of determining how to alter the algorithm and implementation such that it becomes more efficient than redoing everything in the first place. In addition to these two pieces of the puzzle we can add a third piece that tells us which information the radiologist is interested in. This last piece allows us to focus on giving the best representation of the relevant data and to filter away the unnecessary parts.

Another part of my research is of a softer nature. Radiologists require easy to use tools in their daily work but at the same time they must be powerful enough to visualize the desired information. The challenge here lies in combining the design of the tool with the underlying technique. The quest is to have few and easy to understand parameters to change. We therefore investigate how we can either change the algorithms to make the input more intuitive by nature, or how we can create intuitive parameters that are mapped to the input of the algorithm.

These two research directions aim to enable the radiologist to be able to explore organ function and doing so in an efficient manner.

Current teaching


Publications in 2018
Robin Skånberg, Carolin König, Mathieu Linares, Daniel Jönsson, Patrick Norman, Ingrid Hotz, Anders Ynnerman
Workshop on Molecular Graphics and Visual Analysis of Molecular Data - 2018
Publications in 2017
Daniel Jönsson, Anders Ynnerman
IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 23, Number 1, page 901--910 - jan 2017
Publications in 2016
Daniel Jönsson
PhD thesis from Linköping University - oct 2016

Daniel Jönsson, Martin Falk, Anders Ynnerman
IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 22, Number 1, page 896 - 905 - jan 2016
Publications in 2015
Erik Sundén, Peter Steneteg, Sathish Kottravel, Daniel Jönsson, Rickard Englund, Martin Falk, Timo Ropinski
Poster at IEEE Vis - 2015
Publications in 2014
Daniel Jönsson, Erik Sundén, Anders Ynnerman, Timo Ropinski
Computer Graphics Forum, Volume 33, Number 1, page 27--51 - feb 2014

Stefan Lindholm, Daniel Jönsson, Charles Hansen, Anders Ynnerman
IEEE TVCG (SciVis Proceedings), Volume 20, Number 12, page 2447-2455 - dec 2014

Julius Parulek, Daniel Jönsson, Timo Ropinski, Stefan Bruckner, Anders Ynnerman, Ivan Viola
Computer Graphics Forum, Volume 33, Number 6, page 276--287 - sep 2014

Erik Sundén, Alexander Bock, Daniel Jönsson, Anders Ynnerman, Timo Ropinski
IEEE VIS International Workshop on 3DVis - 2014

Joel Kronander, Johan Dahlin, Daniel Jönsson, Manon Kok, Thomas Schön, Jonas Unger
Eusipco 2014 - sep 2014

Tiago Etiene, Daniel Jönsson, Timo Ropinski, Carlos Scheidegger, João Comba, L. Gustavo Nonato, Robert M. Kirby, Anders Ynnerman, Cláudio T. Silvia
IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 20, Number 1, page 140--154 - jan 2014
Publications in 2013
Neda Rostamzadeh, Daniel Jönsson, Timo Ropinski
SIGRAD - 2013

Daniel Jönsson, Joel Kronander, Timo Ropinski, Anders Ynnerman
Poster at Eurographics Symposium on Rendering (EGSR) - 2013

Stefan Lindholm, Daniel Jönsson, Hans Knutsson, Anders Ynnerman
SIGRAD, Number 094, page 55-60 - nov 2013
Publications in 2012
Joel Kronander, Daniel Jönsson, Joakim Löw, Patric Ljung, Anders Ynnerman, Jonas Unger
IEEE TVCG, Volume 18, Number 3, page 447--462 - 2012

Daniel Jönsson, Per Ganestam, Anders Ynnerman, Michael Doggett, Timo Ropinski
EG Symposium on Parallel Graphics and Visualization (EGPGV), page 31--40 - 2012

Daniel Jönsson, Joel Kronander, Timo Ropinski, Anders Ynnerman
IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 18, Number 12, page 2364--2371 - December 2012

Daniel Jönsson, Erik Sundén, Anders Ynnerman, Timo Ropinski
Eurographics STAR program - 2012