Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Ebner, T; Stern, D; Donner, R; Bischof, H; Urschler, M.
Towards automatic bone age estimation from MRI: localization of 3D anatomical landmarks.
Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):421-428
PubMed
- Co-Autor*innen der Med Uni Graz
- Stern Darko
- Urschler Martin
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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.
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- Adolescent -
- Age Determination by Skeleton - methods
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- Hand Bones - physiology
- Humans -
- Image Interpretation, Computer-Assisted - methods
- Imaging, Three-Dimensional - methods
- Magnetic Resonance Imaging - methods
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- Pattern Recognition, Automated - methods
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