2019
DOI: 10.1299/jsmebio.2019.32.1a22
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Effects of reducing 1D network complexity in a 1D–0D simulation of cerebral circulation

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Cited by 2 publications
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“…These advancements facilitate precise assessments of arterial flow dynamics, essential for diagnosing conditions and preventing complications such as Cerebral Hyperperfusion Syndrome (CHS). Furthermore, the capacity for these models to replicate the arterial remodeling in pathological states has been validated, as evidenced by the simulations of carotid artery stenosis [18] and abdominal artery stenosis [19]. Recent research has pivoted towards the quantification of uncertainty within these simulations [20], aiming to bolster the fidelity of 1D-0D models in mirroring the in vivo circulation and providing actionable insights to healthcare practitioners.…”
Section: Introductionmentioning
confidence: 99%
“…These advancements facilitate precise assessments of arterial flow dynamics, essential for diagnosing conditions and preventing complications such as Cerebral Hyperperfusion Syndrome (CHS). Furthermore, the capacity for these models to replicate the arterial remodeling in pathological states has been validated, as evidenced by the simulations of carotid artery stenosis [18] and abdominal artery stenosis [19]. Recent research has pivoted towards the quantification of uncertainty within these simulations [20], aiming to bolster the fidelity of 1D-0D models in mirroring the in vivo circulation and providing actionable insights to healthcare practitioners.…”
Section: Introductionmentioning
confidence: 99%