A statistical geometrical description of the human liver for probabilistic occupant models

Lu, Yuan-Chiao; Untaroiu, Costin D.

doi:10.1016/j.jbiomech.2014.09.031

Cited by 17 publications

(6 citation statements)

References 47 publications

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“…Morphological variations in the human ribcage, such as the shape, size and cortical bone thickness, as well as the material and failure properties of the ribcage, are expected to affect the impact response and injury tolerance of the thorax, especially among vulnerable populations such as the elderly, women, and the obese. These variations in ribcage geometry could be evaluated through statistical shape analysis (SSA), a common technique to assess the size and shape variations in human skeleton and organs, such as femur (Bredbenner and Nicolella, 2008;Bryan et al, 2009;Zhu and Li, 2011), tibia (Baka et al, 2014;Bredbenner et al, 2010), liver (Lamecker et al, 2004;Lu and Untaroiu, 2014) and spleen (Yates et al, 2016). Gayzik et al (2008) quantified the age-related shape change of human ribcage using rib landmarks through morphometric and multivariate regressions.…”

Section: Introductionmentioning

confidence: 99%

A parametric ribcage geometry model accounting for variations among the adult population

Wang

Cao

Bai

et al. 2016

Journal of Biomechanics

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The objective of this study is to develop a parametric ribcage model that can account for morphological variations among the adult population. Ribcage geometries, including 12 pair of ribs, sternum, and thoracic spine, were collected from CT scans of 101 adult subjects through image segmentation, landmark identification (1016 for each subject), symmetry adjustment, and template mesh mapping (26,180 elements for each subject). Generalized procrustes analysis (GPA), principal component analysis (PCA), and regression analysis were used to develop a parametric ribcage model, which can predict nodal locations of the template mesh according to age, sex, height, and body mass index (BMI). Two regression models, a quadratic model for estimating the ribcage size and a linear model for estimating the ribcage shape, were developed. The results showed that the ribcage size was dominated by the height (p=0.000) and age-sex-interaction (p=0.007) and the ribcage shape was significantly affected by the age (p=0.0005), sex (p=0.0002), height (p=0.0064) and BMI (p=0.0000). Along with proper assignment of cortical bone thickness, material properties and failure properties, this parametric ribcage model can directly serve as the mesh of finite element ribcage models for quantifying effects of human characteristics on thoracic injury risks.

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Section: Introductionmentioning

confidence: 99%

A parametric ribcage geometry model accounting for variations among the adult population

Wang

Cao

Bai

et al. 2016

Journal of Biomechanics

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“…Each landmark was associated with its corresponding point using the "Giessen" approach (Van De Giessen et al 2009). This method was proven more efficient than using only the Euclidean distance (Lu and Untaroiu 2014). Once the initial correspondence was done the registration was computed by minimizing the energy:…”

Section: Iterative Thin Plate Spline Methodsmentioning

confidence: 99%

“…The term "κ-boundary models" was introduced in Lu and Untaroiu (2013) to define the boundary models which cover κ% of the overall population. Various studies on anatomical elements as liver Lu and Untaroiu 2014), clavicular cortical bone or lunate and scaphoid bones (van de Giessen et al 2010) have shown that the shape parameters tend to follow normal distributions over the training data set. Consequently, the shape space [−3 × SD, 3 × SD] (SD stands for standard distribution) of each mode will define a 99.7%-boundary model.…”

Section: Statistical Boundary Shape Modelsmentioning

confidence: 99%

Shape parametrization of bio-mechanical finite element models based on medical images

Lauzeral

Borzacchiello

Kugler

et al. 2018

Computer Methods in Biomechanics and Biomedical Engineering: Im

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The main objective of this study is to combine the statistical shape analysis (SSA) with a morphing procedure in order to generate shape-parametric finite element models of tissues and organs and to explore the reliability and the limitations of this approach when applied to databases of real medical images. As classical statistical shape models are not always adapted to the morphing procedure, a new registration method was developed in order to maximize the morphing efficiency. The method was compared to the traditional iterative thin plate spline (iTPS). Two data sets of 33 proximal femora shapes and 385 liver shapes were used for the comparison. The principal component analysis (PCA) was used to get the principal morphing modes. In terms of anatomical shape reconstruction (evaluated through the criteria of generalization, compactness, and specificity), our approach compared fairly well to the iTPS method, while performing remarkably better in terms of mesh quality, since it was less prone to generate invalid meshes in the interior. This was particularly true in the liver case. Such methodology offers a potential application for the generation of automated finite element (FE) models from medical images. Parametrized anatomical models can also be used to assess the influence of inter-patient variability on the biomechanical response of the tissues. Indeed, thanks to the shape parametrization the user would easily have access to a valid FE model for any shape belonging to the parameters subspace.

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“…Biological shape variations are often complex and highly challenging to interpret. Principal component analysis (PCA) is a mathematical method that has previously been used to describe the shape of the lung 8 and other organs 15 – 17 . PCA simplifies the complex patterns of shape variation into independent variables (principal components), providing more-readily interpretable metrics of shape than simple linear dimensions.…”

Section: Introductionmentioning

confidence: 99%

Lung and fissure shape is associated with age in healthy never-smoking adults aged 20–90 years

Osanlouy

Clark

Kumar

et al. 2020

Sci Rep

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Lung shape could hold prognostic information for age-related diseases that affect lung tissue mechanics. We sought to quantify mean lung shape, its modes of variation, and shape associations with lung size, age, sex, and Body Mass Index (BMI) in healthy subjects across a seven-decade age span. Volumetric computed tomography from 83 subjects (49 M/34 F, BMI $$24.7 \pm 2.7$$ 24.7 ± 2.7 ) was used to derive two statistical shape models using a principal component analysis. One model included, and the other controlled for, lung volume. Volume made the strongest contribution to shape when it was included. Shape had a strong relationship with age but not sex when volume was controlled for, and BMI had only a small but significant association with shape. The first principal shape mode was associated with decrease in the antero-posterior dimension from base to apex. In older subjects this was rapid and obvious, whereas younger subjects had relatively more constant dimension. A shift of the fissures of both lungs in the basal direction was apparent for the older subjects, consistent with a change in tissue elasticity with age. This study suggests a quantifiable structure-function relationship for the healthy adult lung that can potentially be exploited as a normative description against which abnormal can be compared.

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A statistical geometrical description of the human liver for probabilistic occupant models

Cited by 17 publications

References 47 publications

A parametric ribcage geometry model accounting for variations among the adult population

A parametric ribcage geometry model accounting for variations among the adult population

Shape parametrization of bio-mechanical finite element models based on medical images

Lung and fissure shape is associated with age in healthy never-smoking adults aged 20–90 years

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