Reducing acquisition time for MRI-based forensic age estimation

Bernhard Neumayer, Matthias Schloegl, Christian Payer, Thomas Widek, Sebastian Tschauner, Thomas Ehammer, Rudolf Stollberger, Martin Urschler

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Radiology-based estimation of a living person's unknown age has recently attracted increasing attention due to large numbers of undocumented immigrants entering Europe. To avoid the application of X-ray-based imaging techniques, magnetic resonance imaging (MRI) has been suggested as an alternative imaging modality. Unfortunately, MRI requires prolonged acquisition times, which potentially represents an additional stressor for young refugees. To eliminate this shortcoming, we investigated the degree of reduction in acquisition time that still led to reliable age estimates. Two radiologists randomly assessed original images and two sets of retrospectively undersampled data of 15 volunteers (N = 45 data sets) applying an established radiological age estimation method to images of the hand and wrist. Additionally, a neural network-based age estimation method analyzed four sets of further undersampled images from the 15 volunteers (N = 105 data sets). Furthermore, we compared retrospectively undersampled and acquired undersampled data for three volunteers. To assess reliability with increasing degree of undersampling, intra-rater and inter-rater agreement were analyzed computing signed differences and intra-class correlation. While our findings have to be confirmed by a larger prospective study, the results from both radiological and automatic age estimation showed that reliable age estimation was still possible for acquisition times of 15 seconds.

Original languageEnglish
Pages (from-to)2063
JournalScientific reports
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Feb 2018

Fingerprint

Volunteers
Magnetic Resonance Imaging
Refugees
Wrist
Radiology
Hand
X-Rays
Prospective Studies
Datasets
Undocumented Immigrants
Radiologists

Fields of Expertise

  • Information, Communication & Computing

Cooperations

  • BioTechMed-Graz

Cite this

Neumayer, B., Schloegl, M., Payer, C., Widek, T., Tschauner, S., Ehammer, T., ... Urschler, M. (2018). Reducing acquisition time for MRI-based forensic age estimation. Scientific reports, 8(1), 2063. https://doi.org/10.1038/s41598-018-20475-1

Reducing acquisition time for MRI-based forensic age estimation. / Neumayer, Bernhard; Schloegl, Matthias; Payer, Christian; Widek, Thomas; Tschauner, Sebastian; Ehammer, Thomas; Stollberger, Rudolf; Urschler, Martin.

In: Scientific reports, Vol. 8, No. 1, 01.02.2018, p. 2063.

Research output: Contribution to journalArticleResearchpeer-review

Neumayer, B, Schloegl, M, Payer, C, Widek, T, Tschauner, S, Ehammer, T, Stollberger, R & Urschler, M 2018, 'Reducing acquisition time for MRI-based forensic age estimation' Scientific reports, vol. 8, no. 1, pp. 2063. https://doi.org/10.1038/s41598-018-20475-1
Neumayer B, Schloegl M, Payer C, Widek T, Tschauner S, Ehammer T et al. Reducing acquisition time for MRI-based forensic age estimation. Scientific reports. 2018 Feb 1;8(1):2063. https://doi.org/10.1038/s41598-018-20475-1
Neumayer, Bernhard ; Schloegl, Matthias ; Payer, Christian ; Widek, Thomas ; Tschauner, Sebastian ; Ehammer, Thomas ; Stollberger, Rudolf ; Urschler, Martin. / Reducing acquisition time for MRI-based forensic age estimation. In: Scientific reports. 2018 ; Vol. 8, No. 1. pp. 2063.
@article{51dc390fe6664cc1875dce97de35c3e8,
title = "Reducing acquisition time for MRI-based forensic age estimation",
abstract = "Radiology-based estimation of a living person's unknown age has recently attracted increasing attention due to large numbers of undocumented immigrants entering Europe. To avoid the application of X-ray-based imaging techniques, magnetic resonance imaging (MRI) has been suggested as an alternative imaging modality. Unfortunately, MRI requires prolonged acquisition times, which potentially represents an additional stressor for young refugees. To eliminate this shortcoming, we investigated the degree of reduction in acquisition time that still led to reliable age estimates. Two radiologists randomly assessed original images and two sets of retrospectively undersampled data of 15 volunteers (N = 45 data sets) applying an established radiological age estimation method to images of the hand and wrist. Additionally, a neural network-based age estimation method analyzed four sets of further undersampled images from the 15 volunteers (N = 105 data sets). Furthermore, we compared retrospectively undersampled and acquired undersampled data for three volunteers. To assess reliability with increasing degree of undersampling, intra-rater and inter-rater agreement were analyzed computing signed differences and intra-class correlation. While our findings have to be confirmed by a larger prospective study, the results from both radiological and automatic age estimation showed that reliable age estimation was still possible for acquisition times of 15 seconds.",
author = "Bernhard Neumayer and Matthias Schloegl and Christian Payer and Thomas Widek and Sebastian Tschauner and Thomas Ehammer and Rudolf Stollberger and Martin Urschler",
year = "2018",
month = "2",
day = "1",
doi = "10.1038/s41598-018-20475-1",
language = "English",
volume = "8",
pages = "2063",
journal = "Scientific reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

TY - JOUR

T1 - Reducing acquisition time for MRI-based forensic age estimation

AU - Neumayer, Bernhard

AU - Schloegl, Matthias

AU - Payer, Christian

AU - Widek, Thomas

AU - Tschauner, Sebastian

AU - Ehammer, Thomas

AU - Stollberger, Rudolf

AU - Urschler, Martin

PY - 2018/2/1

Y1 - 2018/2/1

N2 - Radiology-based estimation of a living person's unknown age has recently attracted increasing attention due to large numbers of undocumented immigrants entering Europe. To avoid the application of X-ray-based imaging techniques, magnetic resonance imaging (MRI) has been suggested as an alternative imaging modality. Unfortunately, MRI requires prolonged acquisition times, which potentially represents an additional stressor for young refugees. To eliminate this shortcoming, we investigated the degree of reduction in acquisition time that still led to reliable age estimates. Two radiologists randomly assessed original images and two sets of retrospectively undersampled data of 15 volunteers (N = 45 data sets) applying an established radiological age estimation method to images of the hand and wrist. Additionally, a neural network-based age estimation method analyzed four sets of further undersampled images from the 15 volunteers (N = 105 data sets). Furthermore, we compared retrospectively undersampled and acquired undersampled data for three volunteers. To assess reliability with increasing degree of undersampling, intra-rater and inter-rater agreement were analyzed computing signed differences and intra-class correlation. While our findings have to be confirmed by a larger prospective study, the results from both radiological and automatic age estimation showed that reliable age estimation was still possible for acquisition times of 15 seconds.

AB - Radiology-based estimation of a living person's unknown age has recently attracted increasing attention due to large numbers of undocumented immigrants entering Europe. To avoid the application of X-ray-based imaging techniques, magnetic resonance imaging (MRI) has been suggested as an alternative imaging modality. Unfortunately, MRI requires prolonged acquisition times, which potentially represents an additional stressor for young refugees. To eliminate this shortcoming, we investigated the degree of reduction in acquisition time that still led to reliable age estimates. Two radiologists randomly assessed original images and two sets of retrospectively undersampled data of 15 volunteers (N = 45 data sets) applying an established radiological age estimation method to images of the hand and wrist. Additionally, a neural network-based age estimation method analyzed four sets of further undersampled images from the 15 volunteers (N = 105 data sets). Furthermore, we compared retrospectively undersampled and acquired undersampled data for three volunteers. To assess reliability with increasing degree of undersampling, intra-rater and inter-rater agreement were analyzed computing signed differences and intra-class correlation. While our findings have to be confirmed by a larger prospective study, the results from both radiological and automatic age estimation showed that reliable age estimation was still possible for acquisition times of 15 seconds.

U2 - 10.1038/s41598-018-20475-1

DO - 10.1038/s41598-018-20475-1

M3 - Article

VL - 8

SP - 2063

JO - Scientific reports

JF - Scientific reports

SN - 2045-2322

IS - 1

ER -