Projects per year
Abstract
Biological age (BA) estimation from radiologic data is an important topic in clinical medicine, e.g. in determining endocrinological diseases or planning paediatric orthopaedic surgeries, while in legal medicine it is employed to approximate chronological age. In this work, we propose the use of deep convolutional neural networks (DCNN) for automatic BA estimation from hand MRI volumes, inspired by the way radiologists visually perform age estimation using established staging schemes that follow physical maturation. In our results we outperform the state of the art automatic BA estimation method, achieving a mean error between estimated and ground truth BA of 0.36±0.300.36±0.30 years, which is in line with radiologists doing visual BA estimation.
Original language | English |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 |
Subtitle of host publication | 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II |
Editors | Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells |
Publisher | Springer International Publishing AG |
Pages | 194-202 |
Number of pages | 9 |
Volume | 9901 |
ISBN (Electronic) | 978-3-319-46723-8 |
ISBN (Print) | 978-3-319-46722-1 |
DOIs | |
Publication status | Published - 21 Oct 2016 |
Event | 19th International Conference on Medical Image Computing & Computer Assisted Intervention: MICCAI 2016 - Intercontinental Athenaeum, Athens, Greece Duration: 17 Oct 2016 → 21 Oct 2016 http://www.miccai2016.org |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Conference
Conference | 19th International Conference on Medical Image Computing & Computer Assisted Intervention |
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Abbreviated title | MICCAI |
Country/Territory | Greece |
City | Athens |
Period | 17/10/16 → 21/10/16 |
Internet address |
Fields of Expertise
- Information, Communication & Computing
Cooperations
- BioTechMed-Graz
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Dive into the research topics of 'Automated Age Estimation from Hand MRI Volumes Using Deep Learning'. Together they form a unique fingerprint.Projects
- 2 Finished
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FWF - FAME - Fully Automatic MRI-based Age Estimation of Adolescents
Bischof, H. & Urschler, M.
1/07/15 → 31/12/18
Project: Research project
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Klinisch-Forensische Bildgebung - Developing methods to standardize computer-assisted medical MRI datas [Original in Deutsch: Klinisch-Forensische Bildgebung] - Standard_MRT
Urschler, M., Bornik, A. & Bischof, H.
1/12/08 → 31/05/15
Project: Research project