Patient's specific modeling of the spinal canal hydrodynamics using bond graph technique and magnetic resonance imaging

Yallapragada, Naresh; Alperin, Noam

doi:10.1117/12.480404

Cited by 4 publications

(3 citation statements)

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“…Therefore, among the volumetric parameters, PCF volume is a more relevant parameter for assessing the conditions of these patients. This finding can also be useful in future studies for assessing the trend of changes in compliance (ΔV/ΔP) in these patients during their treatment process and for assessing their healing level 39,52 .…”

Section: Discussionmentioning

confidence: 90%

“…However, another group of studies has shown that the role of cerebrospinal fluid (CSF) hydrodynamics is highly prominent in managing many diseases associated with the CSF circulation system 21,[33][34][35][36][37][38] . Hydrodynamic studies of CSF have shown that the incidence of CM-I is accompanied by changes in hydrodynamic parameters of CSF flow 21,[39][40][41][42][43][44][45][46] . Many studies have compared CSF velocity changes measured with phase contrast magnetic resonance imaging (PC-MRI) to assess patients' conditions or outcomes of surgical procedures [47][48][49][50] .…”

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confidence: 99%

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Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations

Gholampour

2020

Sci Rep

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This study aimed to find a new CSF hydrodynamic index to assess Chiari type I malformation (CM-I) patients’ conditions and examine the relationship of this new index with morphometric and volumetric changes in these patients and their clinical symptoms. To this end, 58 CM-I patients in four groups and 20 healthy subjects underwent PC-MRI. Ten morphometric and three volumetric parameters were calculated. The CSF hydrodynamic parameters were also analyzed through computational fluid dynamic (CFD) simulation. The maximum CSF pressure was identified as a new hydrodynamic parameter to assess the CM-I patients’ conditions. This parameter was similar in patients with the same symptoms regardless of the group to which they belonged. The result showed a weak correlation between the maximum CSF pressure and the morphometric parameters in the patients. Among the volumetric parameters, PCF volume had the highest correlation with the maximum CSF pressure, which its value being higher in patients with CM-I/SM/scoliosis (R2 = 65.6%, P = 0.0022) than in the other patients. PCF volume was the more relevant volumetric parameter to assess the patients’ symptoms. The values of PCF volume were greater in patients that headache symptom was more obvious than other symptoms, as compared to the other patients.

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Section: Discussionmentioning

confidence: 90%

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confidence: 99%

Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations

Gholampour

2020

Sci Rep

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“…The surge of interest in musculoskeletal models of BGs started in 2003. The human gait [46], hand prosthesis [47][48][49][50] and spinal cord models [51] were introduced using BGs for the first time the same year. Repetitive configurations in these systems favoured the use of BGs to facilitate the assemblage of modules and subsystems to build larger models [46,[51][52][53][54][55][56][57][58][59].…”

Section: (A) Musculoskeletal Systemsmentioning

confidence: 99%

A review of the diverse applications of bond graphs in biology and physiology

Akbarpour Ghazani,

Pan,

Tran

et al. 2024

Proc. R. Soc. A.

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Computational biology and physiology is an interdisciplinary endeavour, requiring input from biologists, physiologists, mathematicians, chemists, engineers and clinicians. These systems are composed of complex phenomena across disparate temporal and spatial scales, and a holistic understanding of system behaviour typically requires the application of advanced multi-scale models. While many modelling techniques have been used, the bond graph (BG) is the only approach for modelling physical systems, where ‘causality’ is represented graphically. Additionally, the BG approach with its intrinsic properties allows the modular construction of models and verifying the conservation of mass and energy algorithmically. The BG approach has been widely used in engineering and, more recently, has been increasingly applied to biology and physiological systems. In this review, we briefly introduce the concepts and strengths of BG modelling. Following this, we review the history of BGs in modelling cellular mechanisms, biochemical reactions and musculoskeletal and cardiovascular systems. Then, current developments in BG software are reviewed, and opportunities and perspectives on the future application of BGs are discussed.

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Transducers: Sensor Models

Das¹

2009

Mechatronic Modeling and Simulation Using Bond Graphs

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Patient's specific modeling of the spinal canal hydrodynamics using bond graph technique and magnetic resonance imaging

Cited by 4 publications

References 0 publications

Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations

Correlation of a new hydrodynamic index with other effective indexes in Chiari I malformation patients with different associations

A review of the diverse applications of bond graphs in biology and physiology

Transducers: Sensor Models

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