3D reconstruction of the scapula from biplanar X-rays for pose estimation and morphological analysis.

3D reconstruction Biplanar radiography Patient specific modeling Reproducibility study Scapula Scapula coordinate system

Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
10 2023
Historique:
received: 16 02 2023
revised: 25 08 2023
accepted: 25 08 2023
medline: 1 11 2023
pubmed: 15 10 2023
entrez: 14 10 2023
Statut: ppublish

Résumé

Patient-specific scapular shape in functional posture can be highly relevant to clinical research. Biplanar radiography is a relevant modality for that purpose with already two existing assessment methods. However, they are either time-consuming or lack accuracy. The aim of this study was to propose a new, more user-friendly and accurate method to determine scapular shape. The proposed method relied on simplified manual inputs and an upgraded version of the first 3D estimate based on statistical inferences and Moving-Least Square (MLS) deformation of a template. Then, manual adjustments, with real-time MLS algorithm and contour matching adjustments with an adapted minimal path method, were added to improve the match between the projected 3D model and the radiographic contours. The accuracy and reproducibility of the method were assessed (with 6 and 12 subjects, respectively). The shape accuracy was in average under 2 mm (1.3 mm in the glenoid region). The reproducibility study on the clinical parameters found intra-observer 95% confidence intervals under 3 mm or 3° for all parameters, except for glenoid inclination and Critical Shoulder Angle, ranging between 3° and 6°. This method is a first step towards an accurate reconstruction of the scapula to assess clinical parameters in a functional posture. This can already be used in clinical research on non-pathologic bones to investigate the scapulothoracic joint in functional position.

Sections du résumé

BACKGROUND
Patient-specific scapular shape in functional posture can be highly relevant to clinical research. Biplanar radiography is a relevant modality for that purpose with already two existing assessment methods. However, they are either time-consuming or lack accuracy. The aim of this study was to propose a new, more user-friendly and accurate method to determine scapular shape.
METHODS
The proposed method relied on simplified manual inputs and an upgraded version of the first 3D estimate based on statistical inferences and Moving-Least Square (MLS) deformation of a template. Then, manual adjustments, with real-time MLS algorithm and contour matching adjustments with an adapted minimal path method, were added to improve the match between the projected 3D model and the radiographic contours. The accuracy and reproducibility of the method were assessed (with 6 and 12 subjects, respectively).
FINDINGS
The shape accuracy was in average under 2 mm (1.3 mm in the glenoid region). The reproducibility study on the clinical parameters found intra-observer 95% confidence intervals under 3 mm or 3° for all parameters, except for glenoid inclination and Critical Shoulder Angle, ranging between 3° and 6°.
INTERPRETATION
This method is a first step towards an accurate reconstruction of the scapula to assess clinical parameters in a functional posture. This can already be used in clinical research on non-pathologic bones to investigate the scapulothoracic joint in functional position.

Identifiants

pubmed: 37838397
pii: S1350-4533(23)00098-X
doi: 10.1016/j.medengphy.2023.104043
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104043

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None declared.

Auteurs

S Bousigues (S)

Arts et Metiers Institute of Technology, Institut de Biomecanique Humaine Georges Charpak, Paris, France; Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre hospitalier de l'Université de Montréal, Montréal, Canada. Electronic address: sandrine.bousigues@ensam.eu.

L Gajny (L)

Arts et Metiers Institute of Technology, Institut de Biomecanique Humaine Georges Charpak, Paris, France.

S Abihssira (S)

Arts et Metiers Institute of Technology, Institut de Biomecanique Humaine Georges Charpak, Paris, France; Hand, Upper Limb and Peripheral Nerve Surgery, Georges-Pompidou European Hospital APHP, France.

C Heidsieck (C)

Arts et Metiers Institute of Technology, Institut de Biomecanique Humaine Georges Charpak, Paris, France.

X Ohl (X)

Hospital Maison-Blanche, CHU de Reims, France.

N Hagemeister (N)

Ecole de Technologie Superieure, Montreal, Canada; Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre hospitalier de l'Université de Montréal, Montréal, Canada.

W Skalli (W)

Arts et Metiers Institute of Technology, Institut de Biomecanique Humaine Georges Charpak, Paris, France.

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Classifications MeSH