The four-minute approach revisited : accelerating MRI-based multi-factorial age estimation
- Author
- Bernhard Neumayer, Andreas Lesch, Franz Thaler, Thomas Widek, Sebastian Tschauner, Jannick De Tobel (UGent) , Thomas Ehammer, Barbara Kirnbauer, Julian Boldt, Mayonne van Wijk, Rudolf Stollberger and Martin Urschler
- Organization
- Abstract
- Objectives: This feasibility study aimed to investigate the reliability of multi-factorial age estimation based on MR data of the hand, wisdom teeth and the clavicles with reduced acquisition time. Methods: The raw MR data of 34 volunteers-acquired on a 3T system and using acquisition times (TA) of 3:46 min (hand), 5:29 min (clavicles) and 10:46 min (teeth)-were retrospectively undersampled applying the commercially available CAIPIRINHA technique. Automatic and radiological age estimation methods were applied to the original image data as well as undersampled data to investigate the reliability of age estimates with decreasing acquisition time. Reliability was investigated determining standard deviation (SSD) and mean (MSD) of signed differences, intra-class correlation (ICC) and by performing Bland-Altman analysis. Results: Automatic age estimation generally showed very high reliability (SSD < 0.90 years) even for very short acquisition times (SSD ≈ 0.20 years for a total TA of 4 min). Radiological age estimation provided highly reliable results for images of the hand (ICC ≥ 0.96) and the teeth (ICC ≥ 0.79) for short acquisition times (TA = 16 s for the hand, TA = 2:21 min for the teeth), imaging data of the clavicles allowed for moderate acceleration (TA = 1:25 min, ICC ≥ 0.71). Conclusions: The results demonstrate that reliable multi-factorial age estimation based on MRI of the hand, wisdom teeth and the clavicles can be performed using images acquired with a total acquisition time of 4 min.
- Keywords
- Age determination by skeleton, Age determination by teeth, Imaging, Neural network models, Reproducibility of results, Three-dimensional, SKELETAL AGE, OSSIFICATION, EPIPHYSIS, ACCURACY, CLAVICLE, SENSE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8650602
- MLA
- Neumayer, Bernhard, et al. “The Four-Minute Approach Revisited : Accelerating MRI-Based Multi-Factorial Age Estimation.” INTERNATIONAL JOURNAL OF LEGAL MEDICINE, vol. 134, no. 4, 2020, pp. 1475–85, doi:10.1007/s00414-019-02231-w.
- APA
- Neumayer, B., Lesch, A., Thaler, F., Widek, T., Tschauner, S., De Tobel, J., … Urschler, M. (2020). The four-minute approach revisited : accelerating MRI-based multi-factorial age estimation. INTERNATIONAL JOURNAL OF LEGAL MEDICINE, 134(4), 1475–1485. https://doi.org/10.1007/s00414-019-02231-w
- Chicago author-date
- Neumayer, Bernhard, Andreas Lesch, Franz Thaler, Thomas Widek, Sebastian Tschauner, Jannick De Tobel, Thomas Ehammer, et al. 2020. “The Four-Minute Approach Revisited : Accelerating MRI-Based Multi-Factorial Age Estimation.” INTERNATIONAL JOURNAL OF LEGAL MEDICINE 134 (4): 1475–85. https://doi.org/10.1007/s00414-019-02231-w.
- Chicago author-date (all authors)
- Neumayer, Bernhard, Andreas Lesch, Franz Thaler, Thomas Widek, Sebastian Tschauner, Jannick De Tobel, Thomas Ehammer, Barbara Kirnbauer, Julian Boldt, Mayonne van Wijk, Rudolf Stollberger, and Martin Urschler. 2020. “The Four-Minute Approach Revisited : Accelerating MRI-Based Multi-Factorial Age Estimation.” INTERNATIONAL JOURNAL OF LEGAL MEDICINE 134 (4): 1475–1485. doi:10.1007/s00414-019-02231-w.
- Vancouver
- 1.Neumayer B, Lesch A, Thaler F, Widek T, Tschauner S, De Tobel J, et al. The four-minute approach revisited : accelerating MRI-based multi-factorial age estimation. INTERNATIONAL JOURNAL OF LEGAL MEDICINE. 2020;134(4):1475–85.
- IEEE
- [1]B. Neumayer et al., “The four-minute approach revisited : accelerating MRI-based multi-factorial age estimation,” INTERNATIONAL JOURNAL OF LEGAL MEDICINE, vol. 134, no. 4, pp. 1475–1485, 2020.
@article{8650602, abstract = {{Objectives: This feasibility study aimed to investigate the reliability of multi-factorial age estimation based on MR data of the hand, wisdom teeth and the clavicles with reduced acquisition time. Methods: The raw MR data of 34 volunteers-acquired on a 3T system and using acquisition times (TA) of 3:46 min (hand), 5:29 min (clavicles) and 10:46 min (teeth)-were retrospectively undersampled applying the commercially available CAIPIRINHA technique. Automatic and radiological age estimation methods were applied to the original image data as well as undersampled data to investigate the reliability of age estimates with decreasing acquisition time. Reliability was investigated determining standard deviation (SSD) and mean (MSD) of signed differences, intra-class correlation (ICC) and by performing Bland-Altman analysis. Results: Automatic age estimation generally showed very high reliability (SSD < 0.90 years) even for very short acquisition times (SSD ≈ 0.20 years for a total TA of 4 min). Radiological age estimation provided highly reliable results for images of the hand (ICC ≥ 0.96) and the teeth (ICC ≥ 0.79) for short acquisition times (TA = 16 s for the hand, TA = 2:21 min for the teeth), imaging data of the clavicles allowed for moderate acceleration (TA = 1:25 min, ICC ≥ 0.71). Conclusions: The results demonstrate that reliable multi-factorial age estimation based on MRI of the hand, wisdom teeth and the clavicles can be performed using images acquired with a total acquisition time of 4 min.}}, author = {{Neumayer, Bernhard and Lesch, Andreas and Thaler, Franz and Widek, Thomas and Tschauner, Sebastian and De Tobel, Jannick and Ehammer, Thomas and Kirnbauer, Barbara and Boldt, Julian and van Wijk, Mayonne and Stollberger, Rudolf and Urschler, Martin}}, issn = {{0937-9827}}, journal = {{INTERNATIONAL JOURNAL OF LEGAL MEDICINE}}, keywords = {{Age determination by skeleton,Age determination by teeth,Imaging,Neural network models,Reproducibility of results,Three-dimensional,SKELETAL AGE,OSSIFICATION,EPIPHYSIS,ACCURACY,CLAVICLE,SENSE}}, language = {{eng}}, number = {{4}}, pages = {{1475--1485}}, title = {{The four-minute approach revisited : accelerating MRI-based multi-factorial age estimation}}, url = {{http://doi.org/10.1007/s00414-019-02231-w}}, volume = {{134}}, year = {{2020}}, }
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