Research Group

Sami Petteri Väänänen
Ph.D.


Post doctoral researcher


Image processing, statistical shape and FE modeling

Personal information

  • Phone: +358 40 3552273 +358 40 7633905
  • Room: 339, Melania building, 3rd floor
  • Email: sami.vaananen[at]uef.fi (please fix the address before mailing!)

  • Date of birth: 25 February 1984

  • Current research interests: Image processing, mechanical modeling and mechanical testing of femur

  • Education:
    • Doctor of Philosophy, Medical Physics and Engineering. University of Eastern Finland 2014.
    • Master of Science, Computational Physics. University of Kuopio 2009
    • Bachelor of Science, Medical Physics. University of Kuopio 2008
    • Graduate of Finnish Secondary School (Kuopion Lyseon lukio, 2003)

  • Doctoral dissertation:
    Functional Imaging of Proximal Femur by Combining Dual Energy X-ray Imaging and Finite Element Simulations

  • Language proficiency:
    • Finnish, native language
    • English, good
    • Swedish, fair

  • Skills: 2D and 3D processing of (medical) images, Statistical image analysis. Programming languages: Matlab, FORTRAN, Abaqus, C, C++

  • Hobbies: Finnish baseball, paddling, guitar playing

Publications:

(full papers, conference proceedings)
  1. Ojanen X, Tanska P, Malo MKH, Isaksson H, Vaananen SP, Koistinen AP, Grassi L, Magnusson SP, Ribel-Madsen SM, Korhonen RK, Jurvelin JS and Toyras J. Tissue viscoelasticity is related to tissue composition but may not fully predict the apparent-level viscoelasticity in human trabecular bone - An experimental and finite element study. J Biomech. 2017 Dec 8;65:96-105. doi: 10.1016/j.jbiomech.2017.10.002. Epub 2017

  2. Saukko AEA, ORCID: 0000-0001-8678-4675, Honkanen JTJ, Xu W, Vaananen SP, ORCID: 0000-0001-9803-7407, Jurvelin JS, Lehto VP, ORCID: 0000-0001-8153-1070, Toyras J and ORCID: 0000-0002-8035-1606. Dual Contrast CT Method Enables Diagnostics of Cartilage Injuries and Degeneration Using a Single CT Image. Ann Biomed Eng. 2017 Dec;45(12):2857-2866. doi: 10.1007/s10439-017-1916-3. Epub

  3. Grassi L, ORCID: http://orcid.org/0000-0001-7824-9947, Vaananen SP, Ristinmaa M, Jurvelin JS and Isaksson H. Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments. Biomech Model Mechanobiol. 2017 Jun;16(3):989-1000. doi:

  4. Te Moller NCR, Pitkanen M, Sarin JK, Vaananen S, Liukkonen J, Afara IO, Puhakka PH, Brommer H, Niemela T, Tulamo RM, Arguelles Capilla D and Toyras J. Semi-automated International Cartilage Repair Society scoring of equine articular cartilage lesions in optical coherence tomography images. Equine Vet J. 2017 Jul;49(4):552-555. doi: 10.1111/evj.12637. Epub 2016 Oct 20.

  5. Myller KA, ORCID: 0000-0001-8820-1322, Turunen MJ, Honkanen JT, Vaananen SP, ORCID: 0000-0001-9803-7407, Iivarinen JT, Salo J, Jurvelin JS and Toyras J. In Vivo Contrast-Enhanced Cone Beam CT Provides Quantitative Information on Articular Cartilage and Subchondral Bone. Ann Biomed Eng. 2017 Mar;45(3):811-818. doi: 10.1007/s10439-016-1730-3. Epub 2016

  6. Venalainen MS, Mononen ME, Vaananen SP, Jurvelin JS, Toyras J, Viren T and Korhonen RK. Effect of bone inhomogeneity on tibiofemoral contact mechanics during physiological loading. J Biomech. 2016 May 3;49(7):1111-1120. doi: 10.1016/j.jbiomech.2016.02.033. Epub

  7. Grassi L, Vaananen SP, Ristinmaa M, Jurvelin JS and Isaksson H. How accurately can subject-specific finite element models predict strains and strength of human femora? Investigation using full-field measurements. J Biomech. 2016 Mar 21;49(5):802-6. doi: 10.1016/j.jbiomech.2016.02.032. Epub

  8. Vaananen SP, Grassi L, Flivik G, Jurvelin JS and Isaksson H. Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image. Med Image Anal. 2015 Aug;24(1):125-34. doi: 10.1016/j.media.2015.06.001. Epub

  9. Grassi L, Vaananen SP, Yavari SA, Jurvelin JS, Weinans H, Ristinmaa M, Zadpoor AA and Isaksson H. Full-field strain measurement during mechanical testing of the human femur at physiologically relevant strain rates. J Biomech Eng. 2014 Nov;136(11). pii: 1901145. doi: 10.1115/1.4028415.

  10. Vaananen SP, Amin Yavari S, Weinans H, Zadpoor AA, Jurvelin JS and Isaksson H. Repeatability of digital image correlation for measurement of surface strains in composite long bones. J Biomech. 2013 Jul 26;46(11):1928-32. doi: 10.1016/j.jbiomech.2013.05.021. Epub

  11. Grassi L, Vaananen SP, Amin Yavari S, Weinans H, Jurvelin JS, Zadpoor AA and Isaksson H. Experimental validation of finite element model for proximal composite femur using optical measurements. J Mech Behav Biomed Mater. 2013 May;21:86-94. doi: 10.1016/j.jmbbm.2013.02.006.

  12. Vaananen SP, Isaksson H, Waarsing JH, Zadpoor AA, Jurvelin JS and Weinans H. Estimation of 3D rotation of femur in 2D hip radiographs. J Biomech. 2012 Aug 31;45(13):2279-83. doi: 10.1016/j.jbiomech.2012.06.007. Epub

  13. Vaananen SP, Jurvelin JS and Isaksson H. Estimation of 3D shape, internal density and mechanics of proximal femur by combining bone mineral density images with shape and density templates. Biomech Model Mechanobiol. 2012 Jul;11(6):791-800. doi:

  14. Vaananen SP, Isaksson H, Julkunen P, Sirola J, Kroger H and Jurvelin JS. Assessment of the 3-D shape and mechanics of the proximal femur using a shape template and a bone mineral density image. Biomech Model Mechanobiol. 2011 Jul;10(4):529-38. doi: 10.1007/s10237-010-0253-3.

  1. Jurvelin JS, Väänänen SP, Malo M, Grassi L, Karjalainen J, Riekkinen O, Töyräs J, Isaksson H, Kröger H Two-step diagnostics of osteoporosis and prediction of fracture risk. 21th Congress of the European Society of Biomechanics, Prague, 2015.

  2. Grassi L, Väänänen SP, Ristimaa M, Jurvelin JS, Isaksson H FE modelds to predict femur strain and strength: validation against digital image correlation measurements. 21th Congress of the European Society of Biomechanics, Prague, 2015.

  3. Väänänen SP, Grassi L, Jurvelin JS, Isaksson H, Automatically generated 3D shape, density and finite element analysis of proximal femur from a DXA image. 7th World Congress on Biomechanics, Boston, 2014.

  4. Grassi L, Väänänen SP, Amin Yavari S, Weinans H, Jurvelin JS, Zadpoor AA, Isaksson H, Extracting Accurate Strain Data From Cadavaer Human Femora Using High-Speed Digital Image Correlation. 7th World Congress on Biomechanics, Boston, 2014.

  5. Khayyeri H, Väänänen SP, Dahlberg LE, Jurvelin JS, Isaksson H, Novel Method To Estimate 3D Hip Morphology From 2D Radiographs: Potential For Clinical Diagnostics Of Hip Osteoarthritis?. 7th World Congress on Biomechanics, Boston, 2014.

  6. Grassi L, Väänänen SP, Amin Yavari S, Weinans H, Jurvelin JS, Zadpoor AA, Isaksson H, Validation of subject-specific finite element models of composite bones using optical full-field strain measurements. 11th International Symposium, CMBBE, Salt Lake City, April, 4 th, 2013.

  7. Grassi L, Väänänen SP, Amin Yavari S, Weinans H, Jurvelin JS, Zadpoor AA, Isaksson H, Surface strain measurement of a cadaver human femur using high-speed digital image correlation. 19th Congress of the European Society of Biomechanics, Patras, Greece, August, 25th, 2013.

  8. Väänänen SP, Yavari SA, Zadpoor AA, Weinans H, Jurvelin JS, Isaksson H Measurement of surface strain distribution in composite femora using digital image correlation. ESB2012, Lisbon, Portugal, 2012.

  9. Väänänen SP, Isaksson H, Waarsing E, Zadpoor AA, Jurvelin JS, Weinans H, Estimation of 3D rotation of femur in 2D radiographs - effects on shape parameters. ESB2012, Lisbon, Portugal, 2012.

  10. Väänänen SP, Jurvelin JS, Isaksson H. Estimation of 3D shape and internal density of proximal femur by combining DXA images with shape and density templates. Transactions of the Orthopaedic Research Society, San Francisco, 2012.

  11. Väänänen SP, Isaksson H., Waarsing E., Zadpoor, A.A., Jurvelin, J., Weinans, H., Estimation of rotation in femoral 2D radiographs. 8th Baltic Bone and Cartilage Conference (BBC 2011), Malmö, Sweden, 2011.

  12. Väänänen SP, Isaksson H., Jurvelin J., Functional imaging of the proximal femur using shape template and a bone mineral density image. Proceedings of the ASME 2011 Summer Bioengineering Conference, Farmington, Pennsylvania, USA, 2011.

  13. Väänänen SP, Isaksson H., Julkunen P., Jurvelin J., Prediction of 3D proximal femur geometry using planar X-ray image and shape template. ESB2012, Edinburgh, UK, 2010.

Contact: +358 20 7872211 (Switch), email: bbc-l [at] lists.uef.fi