Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Stern, D; Ebner, T; Bischof, H; Grassegger, S; Ehammer, T; Urschler, M.
Fully automatic bone age estimation from left hand MR images.
Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):220-227
PubMed
- Leading authors Med Uni Graz
- Stern Darko
- Co-authors Med Uni Graz
- Ehammer Thomas
- Grassegger Sabine
- Urschler Martin
- Altmetrics:
- Dimensions Citations:
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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.
- Find related publications in this database (using NLM MeSH Indexing)
- Adolescent -
- Adult -
- Age Determination by Skeleton - methods
- Aging - pathology
- Aging - physiology
- Algorithms -
- Artificial Intelligence -
- Functional Laterality - physiology
- Hand Bones - anatomy & histology
- Hand Bones - physiology
- Humans -
- Image Interpretation, Computer-Assisted - methods
- Magnetic Resonance Imaging - methods
- Male -
- Middle Aged -
- Pattern Recognition, Automated - methods
- Reproducibility of Results -
- Sensitivity and Specificity -
- Young Adult -