Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries

Toma, Milan; Lu, Yingli; Zhou, Hao; Garcia, Jodan D.

doi:10.31661/jbpe.v0i0.2001-1062

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…Sacrificing numerical precision to lower computational costs may still yield useful, albeit slightly less accurate, results. However, the use of simplified geometrical models raises concerns about preserving patient-specificity and diminishing the usefulness of achieved outcomes [47]. It is important to note that accuracy does not necessarily equate with realism if attained by altering the geometry employed in modeling.…”

Section: Discussionmentioning

confidence: 99%

Cushioning Effect of Conventional Padded Helmets on Interaction between Cerebrospinal Fluid and Brain after a Low-Speed Head Impact

et al. 2023

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Results of a recent experimental study challenge the widely-held belief that modern combat helmets are more effective at protecting soldiers against concussions. The research shows that helmets used during First World War without inner paddings may have an advantage in protecting soldiers’ brains from concussions when relying solely on cerebrospinal fluid. The present study explains this counterintuitive finding by revealing that while cerebrospinal fluid can prevent direct brain-to-skull contact during a single event, its protective capabilities diminish with each subsequent event occurring in quick succession—something conventional padded helmets appear to aggravate. The cerebrospinal fluid requires a certain amount of time to reset after an acceleration/deceleration event, which allows it to effectively provide cushioning for any subsequent events and protect against potential brain damage. However, an immediate occurrence of a subsequent event, when the fluid has no time to settle down, may significantly diminish the effectiveness of the fluid’s ability to provide adequate cushioning, thereby putting individuals at risk of serious injury. This new information may have implications for helmet design in the future and calls into question current assumptions regarding the best way to protect soldiers and athletes from concussions.

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Section: Discussionmentioning

confidence: 99%

Cushioning Effect of Conventional Padded Helmets on Interaction between Cerebrospinal Fluid and Brain after a Low-Speed Head Impact

et al. 2023

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“…When creating models of such intricacy, multiple variables, including vessel elasticity and flow patterns, must be taken into account in FSI [43,44]. Patient-specific FSI studies are conducted by utilizing geometries specific to individual patients, which have been produced through CT or MRI imaging techniques [45][46][47][48]. This practice combines numerous two-dimensional image slices while also merging them together resulting in an accurate three-dimensional model unique to the patient being studied.…”

Section: Blood Flow Within Vascular Pathwaysmentioning

confidence: 99%

Modeling Dynamics of the Cardiovascular System Using Fluid-Structure Interaction Methods

Syed

Khan

Toma

2023

Biology

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Using fluid-structure interaction algorithms to simulate the human circulatory system is an innovative approach that can provide valuable insights into cardiovascular dynamics. Fluid-structure interaction algorithms enable us to couple simulations of blood flow and mechanical responses of the blood vessels while taking into account interactions between fluid dynamics and structural behaviors of vessel walls, heart walls, or valves. In the context of the human circulatory system, these algorithms offer a more comprehensive representation by considering the complex interplay between blood flow and the elasticity of blood vessels. Algorithms that simulate fluid flow dynamics and the resulting forces exerted on vessel walls can capture phenomena such as wall deformation, arterial compliance, and the propagation of pressure waves throughout the cardiovascular system. These models enhance the understanding of vasculature properties in human anatomy. The utilization of fluid-structure interaction methods in combination with medical imaging can generate patient-specific models for individual patients to facilitate the process of devising treatment plans. This review evaluates current applications and implications of fluid-structure interaction algorithms with respect to the vasculature, while considering their potential role as a guidance tool for intervention procedures.

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“…Some studies have applied various affine transformations of the original geometry to generate their samples 8,9,10,11 . Others have generated a suite of possible geometries by segmenting the same images multiple times using different analysts or techniques 12,13,14,15,16 . Further works have reduced the geometry to key dimensions such as maximum diameter, assigned a distribution to those variables and then randomly sampled them and constructed models to fit 17,18,19,20 .…”

Section: Bioengineering Contextmentioning

confidence: 99%

Random boundaries: quantifying segmentation uncertainty in solutions to boundary-value problems

Gralton¹,

Zwick²,

Bourantas³

et al. 2023

Preprint

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Engineering simulations using boundary-value partial differential equations often implicitly assume that the uncertainty in the location of the boundary has a negligible impact on the output of the simulation. In this work, we develop a novel method for describing the geometric uncertainty in image-derived models and use a naive method for subsequently quantifying a simulation's sensitivity to that uncertainty. A Gaussian random field is constructed to represent the space of possible geometries, based on image-derived quantities such as pixel size, which can then be used to probe the simulation's output space. The algorithm is demonstrated with examples from biomechanics where patient-specific geometries are often segmented from low-resolution, three-dimensional images. These examples show the method's wide applicability with examples using linear elasticity and fluid dynamics. We show that important biomechanical outputs of these example simulations, namely maximum principal stress and wall shear stress, can be highly sensitive to realistic uncertainties in geometry.

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Thresholding Segmentation Errors and Uncertainty with Patient-Specific Geometries

Cited by 11 publications

References 8 publications

Cushioning Effect of Conventional Padded Helmets on Interaction between Cerebrospinal Fluid and Brain after a Low-Speed Head Impact

Cushioning Effect of Conventional Padded Helmets on Interaction between Cerebrospinal Fluid and Brain after a Low-Speed Head Impact

Modeling Dynamics of the Cardiovascular System Using Fluid-Structure Interaction Methods

Random boundaries: quantifying segmentation uncertainty in solutions to boundary-value problems

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