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Magnetic resonance imaging (MRI) can estimate age reliably even with significantly reduced scan times. This research shows accurate age assessment is possible with just 15-second MRI scans, benefiting undocumented immigrants.

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Area of Science:

  • Medical Imaging
  • Forensic Radiology
  • Artificial Intelligence in Medicine

Background:

  • Age estimation in living individuals is crucial, particularly for undocumented immigrants.
  • Magnetic resonance imaging (MRI) is a preferred alternative to X-rays due to safety concerns.
  • Prolonged MRI acquisition times pose challenges, especially for young refugees.

Purpose of the Study:

  • To determine the minimum MRI acquisition time for reliable radiological age estimation.
  • To evaluate the impact of reduced scan times on age estimation accuracy using both human readers and AI.
  • To assess the feasibility of rapid MRI protocols for forensic age assessment.

Main Methods:

  • Radiological assessment of hand and wrist images from 15 volunteers using original and undersampled MRI data.
  • Analysis of further undersampled MRI data using a neural network-based age estimation method.
  • Comparison of retrospectively and acquired undersampled data; analysis of intra-rater and inter-rater agreement.

Main Results:

  • Reliable age estimation was achievable with MRI acquisition times as short as 15 seconds.
  • Both radiological and neural network-based methods demonstrated consistent results with reduced scan times.
  • Intra-rater and inter-rater agreement remained acceptable even with significant undersampling.

Conclusions:

  • Rapid MRI protocols (15 seconds) can support reliable age estimation in living individuals.
  • This approach offers a faster, safer alternative for forensic age assessment, particularly in vulnerable populations.
  • Further validation with larger prospective studies is recommended.