Advertisement

Fully Automatic Bone Age Estimation from Left Hand MR Images

  • Darko Stern
  • Thomas Ebner
  • Horst Bischof
  • Sabine Grassegger
  • Thomas Ehammer
  • Martin Urschler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8674)

Abstract

There has recently been an increased demand in bone age estimation (BAE) of living individuals and human remains in legal medicine applications. A severe drawback of established BAE techniques based on X-ray images is radiation exposure, since many countries prohibit scanning involving ionizing radiation without diagnostic reasons. We propose a completely automated method for BAE based on volumetric hand MRI images. On our database of 56 male caucasian subjects between 13 and 19 years, we are able to estimate the subjects age with a mean difference of 0.85±0.58 years compared to the chronological age, which is in line with radiologist results using established radiographic methods. We see this work as a promising first step towards a novel MRI based bone age estimation system, with the key benefits of lacking exposure to ionizing radiation and higher accuracy due to exploitation of volumetric data.

References

  1. 1.
    Terada, Y., Kono, S., Tamada, D., Uchiumi, T., Kose, K., Miyagi, R., Yamabe, E., Yoshioka, H.: Skeletal age assessment in children using an open compact MRI system. Magnet. Reson. Med. 69(6), 1697–1702 (2013)CrossRefGoogle Scholar
  2. 2.
    Bassed, R.B.: Advances in forensic age estimation. Forensic. Sci. Med. Pathol. 8(2), 194–196 (2012)CrossRefGoogle Scholar
  3. 3.
    Ritz-Timme, S., Cattaneo, C., Collins, M., Waite, E., Schuetz, H., Kaatsch, H., Borrman, H.: Age estimation: The state of the art in relation to the specific demands of forensic practise. Int. J. Legal Med. 113, 129–136 (2000)CrossRefGoogle Scholar
  4. 4.
    Dvorak, J., George, J., Junge, A., Hodler, J.: Age determination by magnetic resonance imaging of the wrist in adolescent male football players. Brit. J. Sport Med. 41(1), 45–52 (2007)CrossRefGoogle Scholar
  5. 5.
    Greulich, W.W., Pyle, S.I.: Radiographic atlas of skeletal development of the hand and wrist, 2nd edn. Stanford University Press, Stanford (1959)Google Scholar
  6. 6.
    Tanner, J.M., Whitehouse, R.H., Cameron, N., Marshall, W.A., Healy, M.J.R., Goldstein, H.: Assessment of skeletal maturity and predicion of adult height (TW2 method), 2nd edn. Academic Press (1983)Google Scholar
  7. 7.
    Thodberg, H.H., Kreiborg, S., Juul, A., Pedersen, K.D.: The BoneXpert method for automated determination of skeletal maturity. IEEE Trans. Med. Imag. 28(1), 52–66 (2009)CrossRefzbMATHGoogle Scholar
  8. 8.
    Tomei, E., Sartori, A., Nissman, D., Al Ansari, N., Battisti, S., Rubini, A., Stagnitti, A., Martino, M., Marini, M., Barbato, E., Semelka, R.C.: Value of MRI of the hand and the wrist in evaluation of bone age: Preliminary results. J. Magn. Reson. Im. 39, 1198–1205 (2013)CrossRefGoogle Scholar
  9. 9.
    Criminisi, A., Robertson, D., Konukoglu, E., Shotton, J., Pathak, S., White, S., Siddiqui, K.: Regression forests for efficient anatomy detection and localization in computed tomography scans. Med. Image Anal. 17(8), 1293–1303 (2013)CrossRefGoogle Scholar
  10. 10.
    Donner, R., Menze, B.H., Bischof, H., Langs, G.: Global localization of 3D anatomical structures by pre-filtered hough forests and discrete optimization. Med. Image Anal. 17(8), 1304–1314 (2013)CrossRefGoogle Scholar
  11. 11.
    Ebner, T., Stern, D., Donner, R., Bischof, H., Urschler, M.: Towards automatic bone age estimation from MRI: Localization of 3D anatomical landmarks. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 418–425. Springer, Heidelberg (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Darko Stern
    • 1
  • Thomas Ebner
    • 1
    • 2
  • Horst Bischof
    • 1
  • Sabine Grassegger
    • 2
    • 3
  • Thomas Ehammer
    • 2
    • 3
  • Martin Urschler
    • 1
    • 2
    • 3
  1. 1.Institute for Computer Graphics and Vision, BioTechMedGraz University of TechnologyAustria
  2. 2.Ludwig Boltzmann Institute for Clinical Forensic ImagingGrazAustria
  3. 3.Department of Legal MedicineMedical University of GrazAustria

Personalised recommendations