BioMediTech Research Groups

Quantitative Medical Image Analysis

Group Leader: Professor Hannu Eskola


About Us

The research group, mainly located at Tampere University Hospital, produces and analyzes high-quality patient images in hospital environment for diagnosis and follow-up of medical treatments. In collaboration with the radiologists and clinicians, the patient materials are thoroughly selected, while the quality of diagnostic and therapeutic methods is developed together with clinical physicists. Most of the 12 researchers of the group concentrate on magnetic resonance imaging, but studies are also made in computed tomography, nuclear medicine and ultrasound imaging.

Research interests and expertise

Quantitative analysis of MRI: We are involved in various research projects in the field of neurology, such as brain injuries and effect of age. We analyze the images by defining various quantitative parameters. For diffusion MRI images we use specific analysis methods, such as Tract-Based Spatial Statistics.

Texture analysis of MRI: We develop reliable and fast texture analysis methods of MRI for clinical routine work and test it in various medical fields such as oncology, surgery and otorhinolaryngology.

Deep brain stimulation: Our goal is to improve the effect of deep brain stimulation for epileptic patients and decrease the side effects. For this goal we analyze the MRI images and develop methods to record the conductivity of various brain tissues.


The research team is situated at Tampere University Hospital. It is based on three strengths:

  • Clinically relevant research plans including well selected patient material
  • Excellent quality of images produced by up-to-date scanners
  • Tailored scientific analysis protocols applied by experienced researchers

Collaboration offer and requests

We participate actively multi-center clinical studies applying quantitative image analysis.

Major Publications

  1. Ilvesmäki T, Luoto TM, Hakulinen U, Brander A, Ryymin P, Eskola H, Iverson GL, Ohman J. Acute mild traumatic brain injury is not associated with white matter change on diffusion tensor imaging. Brain. 2014 Jul;137(Pt 7):1876-82.
  2. Sikiö M, Holli-Helenius KK, Harrison LC, Ryymin P, Ruottinen H, Saunamäki T, Eskola HJ, Elovaara I, Dastidar P. MR image texture in Parkinson’s disease: a longitudinal study. Acta Radiol. 2015 Jan;56(1):97-104.
  3. Nketiah G, Savio S, Dastidar P, Nikander R, Eskola H, Sievänen H. Detection of exercise load-associated differences in hip muscles by texture analysis. Scand J Med Sci Sports. 2015 Jun;25(3):428-34.
  4. Wu X, Sikiö M, Pertovaara H, Järvenpää R, Eskola H, Dastidar P, Kellokumpu-Lehtinen PL, Differentiation of diffuse large B-cell lymphoma from follicular lymphoma using texture analysis on conventional MR images at 3.0 Tesla. Academic Radiology, 2016.
  5. dos Santos FL, Joutsen A, Paci M, Salenius J, Eskola H. Automatic detection of carotid arteries in computed tomography angiography: a proof of concept protocol. Int J Cardiovasc Imaging. 2016 Aug;32(8):1299-310.
  6. Ilvesmäki T, Koskinen E, Brander A, Luoto T, Öhman J, Eskola H. Spinal cord injury induces widespread chronic changes in cerebral white matter. Hum Brain Mapp. 2017 Apr 21.
  7. Tunninen V, Varjo P, Kauppinen T, Holm A, Eskola H, Seppänen M, Tc-99m-sestamibi/I-123 subtraction SPECT/CT in parathyroid scintigraphy: Is additional pinhole imaging useful? Intl J Mol Imaging 2017, accepted.
© 2019 | BioMediTech Finland. All rights reserved.