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Review copy

48,80 €
ISBN 978-3-8440-7400-0
Softcover
194 pages
68 figures
288 g
21 x 14,8 cm
English
Thesis

June 2020

Markus Auf der Mauer

Towards Automated Age Estimation of Young Individuals
A New Computer-Based Approach Using 3D Knee MRI

The purpose of this work is to investigate the age estimation of living individuals on the basis of MRI sequences of the knee. Using a large data collective of young male subjects, a new AI-based approach is developed to automatically detect bone structures in the image and to learn the chronological age based on this information. With a mean absolute error (MAE) of 0.69 ± 0.47 years for the prediction of the age and an accuracy of 90.9% for the majority classification on the 18-year-limit, the results demonstrate the potential of this approach.

Im Rahmen dieser Arbeit wird die Fragestellung der Altersbestimmung bei Lebenden auf Basis von Knie-MRT-Bildsequenzen untersucht. Anhand eines großen Datenkollektivs von jungen männliche Probanden, wird ein neuer KI-basierter Ansatz entwickelt, um Knochenstrukturen automatisch im Bild zu erkennen und darauf basierend das chronologische Alter zu erlernen. Mit einem mittleren absoluten Fehler (MAE) von 0,69 ± 0,47 Jahren für die Vorhersage des Alters und einer Genauigkeit von 90,9% bei der Frage nach der Volljährigkeit, belegen die Ergebnisse das Potential dieses Ansatzes.

Keywords: Automated age estimation; MRI; Knee; Machine learning; Convolutional neural networks; Segmentation

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Markus Auf der Mauer

Towards Automated Age Estimation of Young Individuals A New Computer-Based Approach Using 3D Knee MRI

Towards Automated Age Estimation of Young Individuals
A New Computer-Based Approach Using 3D Knee MRI