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Abstract
Bone age estimation (BAE) is an important procedure in forensic practice which recently has seen a shift in attention from X-ray to MRI based imaging. To automate BAE from MRI, localization of the joints between hand bones is a crucial first step, which is challenging due to anatomical variations, different poses and repeating structures within the hand. We propose a landmark localization algorithm using multiple random regression forests, first analyzing the shape of the hand from information of the whole image, thus implicitly modeling the global landmark configuration, followed by a refinement based on more local information to increase prediction accuracy. We are able to clearly outperform related approaches on our dataset of 60 T1-weighted MR images, achieving a mean landmark localization error of 1.4 ± 1.5mm, while having only 0.25% outliers with an error greater than 10mm.
Original language | English |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 |
Subtitle of host publication | 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II |
Editors | Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Publisher | Springer International Publishing AG |
Pages | 421-428 |
Number of pages | 8 |
Volume | 8674 |
ISBN (Electronic) | 978-3-319-10470-6 |
ISBN (Print) | 978-3-319-10469-0 |
DOIs | |
Publication status | Published - 2014 |
Event | International Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2014 - Cambridge, United States Duration: 14 Sept 2014 → 18 Oct 2014 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 8674 |
Conference
Conference | International Conference on Medical Image Computing and Computer-Assisted Intervention |
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Country/Territory | United States |
City | Cambridge |
Period | 14/09/14 → 18/10/14 |
Fields of Expertise
- Information, Communication & Computing
Cooperations
- BioTechMed-Graz
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Dive into the research topics of 'Towards Automatic Bone Age Estimation From MRI: Localization of 3D Anatomical Landmarks: localization of 3D anatomical landmarks'. Together they form a unique fingerprint.Projects
- 2 Finished
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YOUTH - Adolescent Age Estimation from Magnetic Resonance Images
Urschler, M. & Bischof, H.
1/05/13 → 30/04/15
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