Fully Automatic Bone Age Estimation from Left Hand MR Images

Darko Stern; Thomas Ebner; Horst Bischof; Sabine Grassegger; Thomas Ehammer; Martin Urschler

doi:10.1007/978-3-319-10470-6_28

Fully Automatic Bone Age Estimation from Left Hand MR Images

Darko Stern, Thomas Ebner, Horst Bischof, Sabine Grassegger, Thomas Ehammer, Martin Urschler

Institut für Maschinelles Sehen und Darstellen (7100)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
Untertitel	17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II
Redakteure/-innen	Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe
Erscheinungsort	Switzerland
Herausgeber (Verlag)	Springer International Publishing AG
Seiten	220-227
Band	8674
ISBN (elektronisch)	978-3-319-10470-6
ISBN (Print)	978-3-319-10469-0
DOIs	https://doi.org/10.1007/978-3-319-10470-6_28
Publikationsstatus	Veröffentlicht - 2014

Publikationsreihe

Name	Lecture Notes in Computer Science
Band	8674

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Information, Communication & Computing

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BioTechMed-Graz

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

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10.1007/978-3-319-10470-6_28

YOUTH - Altersschätzung aus Magnetresonanzdaten
Urschler, M. & Bischof, H.
1/05/13 → 30/04/15
Projekt: Forschungsprojekt
Klinisch-Forensische Bildgebung- Standardisierung zur computerunterstützten Auswertung von medizinischen MRT-Daten - Standard_MRT
Urschler, M., Bornik, A. & Bischof, H.
1/12/08 → 31/12/15
Projekt: Forschungsprojekt

Dieses zitieren

Stern, D., Ebner, T., Bischof, H., Grassegger, S., Ehammer, T., & Urschler, M. (2014). Fully Automatic Bone Age Estimation from Left Hand MR Images. in P. Golland, N. Hata, C. Barillot, J. Hornegger, & R. Howe (Hrsg.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II (Band 8674, S. 220-227). (Lecture Notes in Computer Science; Band 8674 ). Springer International Publishing AG . https://doi.org/10.1007/978-3-319-10470-6_28

Fully Automatic Bone Age Estimation from Left Hand MR Images. / Stern, Darko; Ebner, Thomas; Bischof, Horst et al.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Hrsg. / Polina Golland; Nobuhiko Hata; Christian Barillot; Joachim Hornegger; Robert Howe. Band 8674 Switzerland: Springer International Publishing AG , 2014. S. 220-227 (Lecture Notes in Computer Science; Band 8674 ).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Stern, D, Ebner, T, Bischof, H, Grassegger, S, Ehammer, T & Urschler, M 2014, Fully Automatic Bone Age Estimation from Left Hand MR Images. in P Golland, N Hata, C Barillot, J Hornegger & R Howe (Hrsg.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Bd. 8674, Lecture Notes in Computer Science, Bd. 8674 , Springer International Publishing AG , Switzerland, S. 220-227. https://doi.org/10.1007/978-3-319-10470-6_28

Stern D, Ebner T, Bischof H, Grassegger S, Ehammer T, Urschler M. Fully Automatic Bone Age Estimation from Left Hand MR Images. in Golland P, Hata N, Barillot C, Hornegger J, Howe R, Hrsg., Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Band 8674. Switzerland: Springer International Publishing AG . 2014. S. 220-227. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-10470-6_28

Stern, Darko ; Ebner, Thomas ; Bischof, Horst et al. / Fully Automatic Bone Age Estimation from Left Hand MR Images. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Hrsg. / Polina Golland ; Nobuhiko Hata ; Christian Barillot ; Joachim Hornegger ; Robert Howe. Band 8674 Switzerland : Springer International Publishing AG , 2014. S. 220-227 (Lecture Notes in Computer Science).

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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.",

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Fully Automatic Bone Age Estimation from Left Hand MR Images

Abstract

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Fields of Expertise

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UN SDGs

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Projekte

YOUTH - Altersschätzung aus Magnetresonanzdaten

Klinisch-Forensische Bildgebung- Standardisierung zur computerunterstützten Auswertung von medizinischen MRT-Daten - Standard_MRT

Dieses zitieren