Towards Automatic Bone Age Estimation From MRI: Localization of 3D Anatomical Landmarks: localization of 3D anatomical landmarks

Thomas Ebner, Darko Stern, Rene Donner, Horst Bischof, Martin Urschler

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Bone age estimation (BAE) is an important procedure in forensic practice which recently has seen a shift in attention from X-ray to MRI based imaging. To automate BAE from MRI, localization of the joints between hand bones is a crucial first step, which is challenging due to anatomical variations, different poses and repeating structures within the hand. We propose a landmark localization algorithm using multiple random regression forests, first analyzing the shape of the hand from information of the whole image, thus implicitly modeling the global landmark configuration, followed by a refinement based on more local information to increase prediction accuracy. We are able to clearly outperform related approaches on our dataset of 60 T1-weighted MR images, achieving a mean landmark localization error of 1.4 ± 1.5mm, while having only 0.25% outliers with an error greater than 10mm.

Originalspracheenglisch
TitelMedical Image Computing and Computer-Assisted Intervention – MICCAI 2014
Untertitel17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II
Redakteure/-innenPolina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe
Herausgeber (Verlag)Springer International Publishing AG
Seiten421-428
Seitenumfang8
Band8674
ISBN (elektronisch)978-3-319-10470-6
ISBN (Print)978-3-319-10469-0
DOIs
PublikationsstatusVeröffentlicht - 2014
VeranstaltungInternational Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2014 - Cambridge, USA / Vereinigte Staaten
Dauer: 14 Sept. 201418 Okt. 2014

Publikationsreihe

NameLecture Notes in Computer Science
Band8674

Konferenz

KonferenzInternational Conference on Medical Image Computing and Computer-Assisted Intervention
Land/GebietUSA / Vereinigte Staaten
OrtCambridge
Zeitraum14/09/1418/10/14

Fields of Expertise

  • Information, Communication & Computing

Kooperationen

  • BioTechMed-Graz

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