Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template

Non-rigid deformation of a template to fit 3D scans of human subjects is widely used to develop statistical models of 3D human shapes and poses. Complex optimization problems must be solved to use these models to parameterize scans of pregnant women, thus limiting their use in antenatal point-of-car...

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Main Authors: Likhit K. Nayak, Mahlet Y. Gebremariam, Elianna Paljug, Rudolph L. Gleason
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10356049/
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author Likhit K. Nayak
Mahlet Y. Gebremariam
Elianna Paljug
Rudolph L. Gleason
author_facet Likhit K. Nayak
Mahlet Y. Gebremariam
Elianna Paljug
Rudolph L. Gleason
author_sort Likhit K. Nayak
collection DOAJ
description Non-rigid deformation of a template to fit 3D scans of human subjects is widely used to develop statistical models of 3D human shapes and poses. Complex optimization problems must be solved to use these models to parameterize scans of pregnant women, thus limiting their use in antenatal point-of-care tools in low-resource settings. Moreover, these models were developed using datasets that did not contain any 3D scans of pregnant women. In this study, we developed a statistical shape model of the torso of pregnant women at greater than 36 weeks of gestation using fast and simple vertex-based deformation of a cylindrical template constrained along the radial direction. The 3D scans were pre-processed to remove noisy outlier points and segment the torso based on anatomical landmarks. A cylindrical template mesh <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula> was then fitted onto the segmented scan of the torso by moving each vertex of <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula> in the direction of the radial vector. This process is computationally inexpensive taking only 14.80 seconds to deform a template with 9090 vertices. Principal component analysis (PCA) was performed on the deformed vertex co-ordinates to find the directions of maximum variance. The first 10 principal vectors of our model explained 79.03&#x0025; of the total variance and reconstructed unseen scans with a mean error of 2.43 cm. We also used the PCA weights of the first 10 principal vectors to accurately predict anthropometric measurements of the pregnant women.
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spelling doaj.art-1c0b72abae4a42238619cb637b03c3892024-02-14T00:01:32ZengIEEEIEEE Access2169-35362024-01-0112202512025910.1109/ACCESS.2023.334260810356049Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical TemplateLikhit K. Nayak0https://orcid.org/0000-0003-2247-6352Mahlet Y. Gebremariam1Elianna Paljug2Rudolph L. Gleason3George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USADepartment of Obstetrics and Gynecology, Addis Ababa University, Addis Ababa, EthiopiaHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USAGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USANon-rigid deformation of a template to fit 3D scans of human subjects is widely used to develop statistical models of 3D human shapes and poses. Complex optimization problems must be solved to use these models to parameterize scans of pregnant women, thus limiting their use in antenatal point-of-care tools in low-resource settings. Moreover, these models were developed using datasets that did not contain any 3D scans of pregnant women. In this study, we developed a statistical shape model of the torso of pregnant women at greater than 36 weeks of gestation using fast and simple vertex-based deformation of a cylindrical template constrained along the radial direction. The 3D scans were pre-processed to remove noisy outlier points and segment the torso based on anatomical landmarks. A cylindrical template mesh <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula> was then fitted onto the segmented scan of the torso by moving each vertex of <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula> in the direction of the radial vector. This process is computationally inexpensive taking only 14.80 seconds to deform a template with 9090 vertices. Principal component analysis (PCA) was performed on the deformed vertex co-ordinates to find the directions of maximum variance. The first 10 principal vectors of our model explained 79.03&#x0025; of the total variance and reconstructed unseen scans with a mean error of 2.43 cm. We also used the PCA weights of the first 10 principal vectors to accurately predict anthropometric measurements of the pregnant women.https://ieeexplore.ieee.org/document/10356049/AnthropometryCPDnon-rigid deformationpregnancypoint-of-careradial deformation
spellingShingle Likhit K. Nayak
Mahlet Y. Gebremariam
Elianna Paljug
Rudolph L. Gleason
Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template
IEEE Access
Anthropometry
CPD
non-rigid deformation
pregnancy
point-of-care
radial deformation
title Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template
title_full Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template
title_fullStr Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template
title_full_unstemmed Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template
title_short Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template
title_sort fast and simple statistical shape analysis of pregnant women using radial deformation of a cylindrical template
topic Anthropometry
CPD
non-rigid deformation
pregnancy
point-of-care
radial deformation
url https://ieeexplore.ieee.org/document/10356049/
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