Cargando…

Reliability and Agreement of Automated Head Measurements From 3-Dimensional Photogrammetry in Young Children

This study aimed to assess the reliability and agreement of automated head measurements using 3-dimensional (3D) photogrammetry in young children. Specifically, the study evaluated the agreement between manual and automated occipitofrontal circumference (OFC) measurements (n = 264) obtained from 3D...

Descripción completa

Detalles Bibliográficos
Autores principales:	Abdel-Alim, Tareq, Tio, Pauline, Kurniawan, Melissa, Mathijssen, Irene, Dirven, Clemens, Niessen, Wiro, Roshchupkin, Gennady, van Veelen, Marie-Lise
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2023
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445626/ https://www.ncbi.nlm.nih.gov/pubmed/37307495 http://dx.doi.org/10.1097/SCS.0000000000009448

Ejemplares similares

Sagittal Craniosynostosis: Comparing Surgical Techniques Using 3D Photogrammetry
por: Abdel-Alim, Tareq, et al.
Publicado: (2023)

Optimization of a Novel Automated, Low Cost, Three-Dimensional Photogrammetry System (PHACE)
por: To, Josiah K., et al.
Publicado: (2023)

Health-related Quality of Life in Children and Adolescents With Sagittal Synostosis
por: Kurniawan, Melissa S.I.C, et al.
Publicado: (2023)

Analysis of the reliability and reproducibility of goniometry compared to hand photogrammetry
por: de Carvalho, Rosana Martins Ferreira, et al.
Publicado: (2012)

Intercomparison of photogrammetry software for three-dimensional vegetation modelling
por: Probst, Alexandra, et al.
Publicado: (2018)

Photogrammetry of first YE at KHI with photogrammetry targets shinning.
por: D. Loveless
Publicado: (2000)

Elements of photogrammetry,
por: Church, Earl, 1890-
Publicado: (1948)

Correction to: ‘Intercomparison of photogrammetry software for three-dimensional vegetation modelling’
por: Probst, Alexandra, et al.
Publicado: (2018)

Reliability and Accuracy of 2D Photogrammetry: A Comparison With Direct Measurement
por: Lim, Yin Cheng, et al.
Publicado: (2022)

Pioneers in photogrammetry : memorial addresses of the American Society for Photogrammetry and Remote Sensing.
Publicado: (1987)

Three-dimensional chemical mapping using non-destructive SEM and photogrammetry
por: Gontard, Lionel C., et al.
Publicado: (2018)

Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry
por: Andújar, Dionisio, et al.
Publicado: (2018)

Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner
por: Trojnacki, Maciej, et al.
Publicado: (2023)

Augmented reality navigation for minimally invasive craniosynostosis surgery: a phantom study
por: Thabit, Abdullah, et al.
Publicado: (2022)

GenNet framework: interpretable deep learning for predicting phenotypes from genetic data
por: van Hilten, Arno, et al.
Publicado: (2021)

Application of Three-Dimensional Digital Photogrammetry to Quantify the Surface Roughness of Milk Powder
por: Ding, Haohan, et al.
Publicado: (2023)

Elements of photogrammetry : with air photo interpretation and remote sensing /
por: Wolf, Paul R.
Publicado: (1983)

Digital photogrammetry: theory and applications
por: Linder Dr, Wilfried
Publicado: (2003)

Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings
por: Adams, Hieab H.H., et al.
Publicado: (2019)

3D Tree Dimensionality Assessment Using Photogrammetry and Small Unmanned Aerial Vehicles
por: Gatziolis, Demetrios, et al.
Publicado: (2015)

Photogrammetry of Perfusion-Fixed Heart: Innovative Approach to Study 3-Dimensional Cardiac Anatomy
por: Sato, Takanori, et al.
Publicado: (2023)

Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry
por: Murtiyoso, Arnadi, et al.
Publicado: (2022)

Automated Coronary Artery Calcification Scoring in Non-Gated Chest CT: Agreement and Reliability
por: Takx, Richard A. P., et al.
Publicado: (2014)

Digital photogrammetry: a practical course
por: Linder, Wilfried
Publicado: (2009)

Close range photogrammetry and machine vision
por: Atkinson, K B, et al.
Publicado: (2001)

Close range photogrammetry and machine vision
por: Atkinson, KB
Publicado: (1996)

YE-2 ready for photogrammetry survey.
por: R. Loveless/U. of Wisconsin
Publicado: (2000)

On the Accuracy Potential in Underwater/Multimedia Photogrammetry
por: Maas, Hans-Gerd
Publicado: (2015)

Evaluation of photogrammetry for medical application in cardiology
por: Talevi, Giacomo, et al.
Publicado: (2023)

Three-dimensional surface models of autopsied human brains constructed from multiple photographs by photogrammetry
por: Shintaku, Hiroshi, et al.
Publicado: (2019)

Agreement and reliability statistics for shapes
por: Smith, Travis B., et al.
Publicado: (2018)

The application of multi-baseline digital close-range photogrammetry in three-dimensional imaging and measurement of dental casts
por: Fu, Xiaoming, et al.
Publicado: (2017)

Validation of three-dimensional facial imaging captured with smartphone-based photogrammetry application in comparison to stereophotogrammetry system
por: Andrews, James, et al.
Publicado: (2023)

Photogrammetry of the new CSC chambers at the CMS Experiment
por: Behrens, Antje, et al.
Publicado: (2013)

HADRON CALORIMETER HB+1 measurements by photogrammetry
por: J.F.FUCHS, R.Goudard
Publicado: (2003)

A New Blondin System for Surveying and Photogrammetry
por: Cuesta, Federico, et al.
Publicado: (2013)

Multi-Camera Imaging System for UAV Photogrammetry
por: Wierzbicki, Damian
Publicado: (2018)

Photogrammetry of Human Specimens: An Innovation in Anatomy Education
por: Petriceks, Aldis H, et al.
Publicado: (2018)

Photogrammetry Applied to Neurosurgery: A Literature Review
por: Trandzhiev, Martin, et al.
Publicado: (2023)

Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications
por: Castillo T., Jose M., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_5m633bdaaesi8ol9fegknv7kjd