Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models

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Standard

Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models. / Koutras, Christos; Shayestehpour, Hamed; Pérez, Jesús; Wong, Christian; Rasmussen, John; Tournier, Maxime; Nesme, Matthieu; Otaduy, Miguel A.

I: Frontiers in Bioengineering and Biotechnology, Bind 10, 945461, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Koutras, C, Shayestehpour, H, Pérez, J, Wong, C, Rasmussen, J, Tournier, M, Nesme, M & Otaduy, MA 2022, 'Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models', Frontiers in Bioengineering and Biotechnology, bind 10, 945461. https://doi.org/10.3389/fbioe.2022.945461

APA

Koutras, C., Shayestehpour, H., Pérez, J., Wong, C., Rasmussen, J., Tournier, M., Nesme, M., & Otaduy, M. A. (2022). Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models. Frontiers in Bioengineering and Biotechnology, 10, [945461]. https://doi.org/10.3389/fbioe.2022.945461

Vancouver

Koutras C, Shayestehpour H, Pérez J, Wong C, Rasmussen J, Tournier M o.a. Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models. Frontiers in Bioengineering and Biotechnology. 2022;10. 945461. https://doi.org/10.3389/fbioe.2022.945461

Author

Koutras, Christos ; Shayestehpour, Hamed ; Pérez, Jesús ; Wong, Christian ; Rasmussen, John ; Tournier, Maxime ; Nesme, Matthieu ; Otaduy, Miguel A. / Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models. I: Frontiers in Bioengineering and Biotechnology. 2022 ; Bind 10.

Bibtex

@article{be7bc71d08b448dc9d6b530585f23de2,
title = "Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models",
abstract = "The use of patient-specific biomechanical models offers many opportunities in the treatment of adolescent idiopathic scoliosis, such as the design of personalized braces. The first step in the development of these patient-specific models is to fit the geometry of the torso skeleton to the patient{\textquoteright}s anatomy. However, existing methods rely on high-quality imaging data. The exposure to radiation of these methods limits their applicability for regular monitoring of patients. We present a method to fit personalized models of the torso skeleton that takes as input biplanar low-dose radiographs. The method morphs a template to fit annotated points on visible portions of the spine, and it relies on a default biomechanical model of the torso for regularization and robust fitting of hardly visible parts of the torso skeleton, such as the rib cage. The proposed method provides an accurate and robust solution to obtain personalized models of the torso skeleton, which can be adopted as part of regular management of scoliosis patients. We have evaluated the method on ten young patients who participated in our study. We have analyzed and compared clinical metrics on the spine and the full torso skeleton, and we have found that the accuracy of the method is at least comparable to other methods that require more demanding imaging methods, while it offers superior robustness to artifacts such as interpenetration of ribs. Normal-dose X-rays were available for one of the patients, and for the other nine we acquired low-dose X-rays, allowing us to validate that the accuracy of the method persisted under less invasive imaging modalities.",
keywords = "biomechanical models, geometry fitting, low-dose x-rays, modeling of the torso, scoliosis",
author = "Christos Koutras and Hamed Shayestehpour and Jes{\'u}s P{\'e}rez and Christian Wong and John Rasmussen and Maxime Tournier and Matthieu Nesme and Otaduy, {Miguel A.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2022 Koutras, Shayestehpour, P{\'e}rez, Wong, Rasmussen, Tournier, Nesme and Otaduy.",
year = "2022",
doi = "10.3389/fbioe.2022.945461",
language = "English",
volume = "10",
journal = "Frontiers in Bioengineering and Biotechnology",
issn = "2296-4185",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models

AU - Koutras, Christos

AU - Shayestehpour, Hamed

AU - Pérez, Jesús

AU - Wong, Christian

AU - Rasmussen, John

AU - Tournier, Maxime

AU - Nesme, Matthieu

AU - Otaduy, Miguel A.

N1 - Publisher Copyright: Copyright © 2022 Koutras, Shayestehpour, Pérez, Wong, Rasmussen, Tournier, Nesme and Otaduy.

PY - 2022

Y1 - 2022

N2 - The use of patient-specific biomechanical models offers many opportunities in the treatment of adolescent idiopathic scoliosis, such as the design of personalized braces. The first step in the development of these patient-specific models is to fit the geometry of the torso skeleton to the patient’s anatomy. However, existing methods rely on high-quality imaging data. The exposure to radiation of these methods limits their applicability for regular monitoring of patients. We present a method to fit personalized models of the torso skeleton that takes as input biplanar low-dose radiographs. The method morphs a template to fit annotated points on visible portions of the spine, and it relies on a default biomechanical model of the torso for regularization and robust fitting of hardly visible parts of the torso skeleton, such as the rib cage. The proposed method provides an accurate and robust solution to obtain personalized models of the torso skeleton, which can be adopted as part of regular management of scoliosis patients. We have evaluated the method on ten young patients who participated in our study. We have analyzed and compared clinical metrics on the spine and the full torso skeleton, and we have found that the accuracy of the method is at least comparable to other methods that require more demanding imaging methods, while it offers superior robustness to artifacts such as interpenetration of ribs. Normal-dose X-rays were available for one of the patients, and for the other nine we acquired low-dose X-rays, allowing us to validate that the accuracy of the method persisted under less invasive imaging modalities.

AB - The use of patient-specific biomechanical models offers many opportunities in the treatment of adolescent idiopathic scoliosis, such as the design of personalized braces. The first step in the development of these patient-specific models is to fit the geometry of the torso skeleton to the patient’s anatomy. However, existing methods rely on high-quality imaging data. The exposure to radiation of these methods limits their applicability for regular monitoring of patients. We present a method to fit personalized models of the torso skeleton that takes as input biplanar low-dose radiographs. The method morphs a template to fit annotated points on visible portions of the spine, and it relies on a default biomechanical model of the torso for regularization and robust fitting of hardly visible parts of the torso skeleton, such as the rib cage. The proposed method provides an accurate and robust solution to obtain personalized models of the torso skeleton, which can be adopted as part of regular management of scoliosis patients. We have evaluated the method on ten young patients who participated in our study. We have analyzed and compared clinical metrics on the spine and the full torso skeleton, and we have found that the accuracy of the method is at least comparable to other methods that require more demanding imaging methods, while it offers superior robustness to artifacts such as interpenetration of ribs. Normal-dose X-rays were available for one of the patients, and for the other nine we acquired low-dose X-rays, allowing us to validate that the accuracy of the method persisted under less invasive imaging modalities.

KW - biomechanical models

KW - geometry fitting

KW - low-dose x-rays

KW - modeling of the torso

KW - scoliosis

U2 - 10.3389/fbioe.2022.945461

DO - 10.3389/fbioe.2022.945461

M3 - Journal article

C2 - 35928945

AN - SCOPUS:85135241993

VL - 10

JO - Frontiers in Bioengineering and Biotechnology

JF - Frontiers in Bioengineering and Biotechnology

SN - 2296-4185

M1 - 945461

ER -

ID: 328803271