From Individual Hand Bone Age Estimates to Fully Automated Age Estimation via Learning-Based Information Fusion

Darko Stern; Martin Urschler

doi:10.1109/ISBI.2016.7493232

From Individual Hand Bone Age Estimates to Fully Automated Age Estimation via Learning-Based Information Fusion

Darko Stern, Martin Urschler

Institute of Computer Graphics and Vision (7100)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Increasingly important for both clinical and forensic medicine, radiological age estimation is performed by fusing independent bone age estimates from hand images. In this work, we show that the artificial separation into bone independent age estimates as used in established fusion techniques can be overcome. Thus, we treat aging as a global developmental process, by implicitly fusing developmental information from different bones in a dedicated regression algorithm. With 0.82 ± 0.56 years absolute deviation from chronological age on a database of 132 3D MR hand images, the results of this novel automatic algorithm are inline with radiologists performing visual examinations.

Original language	English
Title of host publication	2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Publisher	Institute of Electrical and Electronics Engineers
Pages	150-154
Number of pages	5
DOIs	https://doi.org/10.1109/ISBI.2016.7493232
Publication status	Published - May 2016
Event	2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) - Prague, Czech Republic Duration: 13 Apr 2016 → 16 Apr 2016

Conference

Conference	2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Country/Territory	Czech Republic
City	Prague
Period	13/04/16 → 16/04/16

Fields of Expertise

Information, Communication & Computing

Access to Document

10.1109/ISBI.2016.7493232

FWF - FAME - Fully Automatic MRI-based Age Estimation of Adolescents
Bischof, H. & Urschler, M.
1/07/15 → 31/12/18
Project: Research project

Cite this

From Individual Hand Bone Age Estimates to Fully Automated Age Estimation via Learning-Based Information Fusion. / Stern, Darko; Urschler, Martin.
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). Institute of Electrical and Electronics Engineers, 2016. p. 150-154.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Stern, D & Urschler, M 2016, From Individual Hand Bone Age Estimates to Fully Automated Age Estimation via Learning-Based Information Fusion. in 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). Institute of Electrical and Electronics Engineers, pp. 150-154, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 13/04/16. https://doi.org/10.1109/ISBI.2016.7493232

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abstract = "Increasingly important for both clinical and forensic medicine, radiological age estimation is performed by fusing independent bone age estimates from hand images. In this work, we show that the artificial separation into bone independent age estimates as used in established fusion techniques can be overcome. Thus, we treat aging as a global developmental process, by implicitly fusing developmental information from different bones in a dedicated regression algorithm. With 0.82 ± 0.56 years absolute deviation from chronological age on a database of 132 3D MR hand images, the results of this novel automatic algorithm are inline with radiologists performing visual examinations.",

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AB - Increasingly important for both clinical and forensic medicine, radiological age estimation is performed by fusing independent bone age estimates from hand images. In this work, we show that the artificial separation into bone independent age estimates as used in established fusion techniques can be overcome. Thus, we treat aging as a global developmental process, by implicitly fusing developmental information from different bones in a dedicated regression algorithm. With 0.82 ± 0.56 years absolute deviation from chronological age on a database of 132 3D MR hand images, the results of this novel automatic algorithm are inline with radiologists performing visual examinations.

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ER -

From Individual Hand Bone Age Estimates to Fully Automated Age Estimation via Learning-Based Information Fusion

Abstract

Conference

Fields of Expertise

Access to Document

Fingerprint

Projects

FWF - FAME - Fully Automatic MRI-based Age Estimation of Adolescents

Cite this