Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach

Dynamic computer tomography (CT) is an emerging modality to analyze in-vivo joint kinematics at the bone level, but it requires manual bone segmentation and, in some instances, landmark identification. The objective of this study is to present an automated workflow for the assessment of three-dimens...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Benyameen Keelson, Luca Buzzatti, Jakub Ceranka, Adrián Gutiérrez, Simone Battista, Thierry Scheerlinck, Gert Van Gompel, Johan De Mey, Erik Cattrysse, Nico Buls, Jef Vandemeulebroucke
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	dynamic CT motion analysis musculoskeletal imaging registration segmentation multi-atlas segmentation Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/a67f0b85b0984c4a9a2f461bcf1b41ed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a67f0b85b0984c4a9a2f461bcf1b41ed
record_format	dspace
spelling	oai:doaj.org-article:a67f0b85b0984c4a9a2f461bcf1b41ed2021-11-25T17:21:16ZAutomated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach10.3390/diagnostics111120622075-4418https://doaj.org/article/a67f0b85b0984c4a9a2f461bcf1b41ed2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/2062https://doaj.org/toc/2075-4418Dynamic computer tomography (CT) is an emerging modality to analyze in-vivo joint kinematics at the bone level, but it requires manual bone segmentation and, in some instances, landmark identification. The objective of this study is to present an automated workflow for the assessment of three-dimensional in vivo joint kinematics from dynamic musculoskeletal CT images. The proposed method relies on a multi-atlas, multi-label segmentation and landmark propagation framework to extract bony structures and detect anatomical landmarks on the CT dataset. The segmented structures serve as regions of interest for the subsequent motion estimation across the dynamic sequence. The landmarks are propagated across the dynamic sequence for the construction of bone embedded reference frames from which kinematic parameters are estimated. We applied our workflow on dynamic CT images obtained from 15 healthy subjects on two different joints: thumb base (<i>n</i> = 5) and knee (<i>n</i> = 10). The proposed method resulted in segmentation accuracies of 0.90 ± 0.01 for the thumb dataset and 0.94 ± 0.02 for the knee as measured by the Dice score coefficient. In terms of motion estimation, mean differences in cardan angles between the automated algorithm and manual segmentation, and landmark identification performed by an expert were below 1°. Intraclass correlation (ICC) between cardan angles from the algorithm and results from expert manual landmarks ranged from 0.72 to 0.99 for all joints across all axes. The proposed automated method resulted in reproducible and reliable measurements, enabling the assessment of joint kinematics using 4DCT in clinical routine.Benyameen KeelsonLuca BuzzattiJakub CerankaAdrián GutiérrezSimone BattistaThierry ScheerlinckGert Van GompelJohan De MeyErik CattrysseNico BulsJef VandemeulebrouckeMDPI AGarticledynamic CTmotion analysismusculoskeletal imagingregistrationsegmentationmulti-atlas segmentationMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 2062, p 2062 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dynamic CT motion analysis musculoskeletal imaging registration segmentation multi-atlas segmentation Medicine (General) R5-920
spellingShingle	dynamic CT motion analysis musculoskeletal imaging registration segmentation multi-atlas segmentation Medicine (General) R5-920 Benyameen Keelson Luca Buzzatti Jakub Ceranka Adrián Gutiérrez Simone Battista Thierry Scheerlinck Gert Van Gompel Johan De Mey Erik Cattrysse Nico Buls Jef Vandemeulebroucke Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
description	Dynamic computer tomography (CT) is an emerging modality to analyze in-vivo joint kinematics at the bone level, but it requires manual bone segmentation and, in some instances, landmark identification. The objective of this study is to present an automated workflow for the assessment of three-dimensional in vivo joint kinematics from dynamic musculoskeletal CT images. The proposed method relies on a multi-atlas, multi-label segmentation and landmark propagation framework to extract bony structures and detect anatomical landmarks on the CT dataset. The segmented structures serve as regions of interest for the subsequent motion estimation across the dynamic sequence. The landmarks are propagated across the dynamic sequence for the construction of bone embedded reference frames from which kinematic parameters are estimated. We applied our workflow on dynamic CT images obtained from 15 healthy subjects on two different joints: thumb base (<i>n</i> = 5) and knee (<i>n</i> = 10). The proposed method resulted in segmentation accuracies of 0.90 ± 0.01 for the thumb dataset and 0.94 ± 0.02 for the knee as measured by the Dice score coefficient. In terms of motion estimation, mean differences in cardan angles between the automated algorithm and manual segmentation, and landmark identification performed by an expert were below 1°. Intraclass correlation (ICC) between cardan angles from the algorithm and results from expert manual landmarks ranged from 0.72 to 0.99 for all joints across all axes. The proposed automated method resulted in reproducible and reliable measurements, enabling the assessment of joint kinematics using 4DCT in clinical routine.
format	article
author	Benyameen Keelson Luca Buzzatti Jakub Ceranka Adrián Gutiérrez Simone Battista Thierry Scheerlinck Gert Van Gompel Johan De Mey Erik Cattrysse Nico Buls Jef Vandemeulebroucke
author_facet	Benyameen Keelson Luca Buzzatti Jakub Ceranka Adrián Gutiérrez Simone Battista Thierry Scheerlinck Gert Van Gompel Johan De Mey Erik Cattrysse Nico Buls Jef Vandemeulebroucke
author_sort	Benyameen Keelson
title	Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
title_short	Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
title_full	Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
title_fullStr	Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
title_full_unstemmed	Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
title_sort	automated motion analysis of bony joint structures from dynamic computer tomography images: a multi-atlas approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a67f0b85b0984c4a9a2f461bcf1b41ed
work_keys_str_mv	AT benyameenkeelson automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT lucabuzzatti automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT jakubceranka automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT adriangutierrez automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT simonebattista automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT thierryscheerlinck automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT gertvangompel automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT johandemey automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT erikcattrysse automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT nicobuls automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach AT jefvandemeulebroucke automatedmotionanalysisofbonyjointstructuresfromdynamiccomputertomographyimagesamultiatlasapproach
_version_	1718412488426389504

Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach

Ejemplares similares