Optimization of topological complexity for one-dimensional arterial blood flow models
Fossan F. E., Mariscal-Harana J., Alastrue`j A. Kh., Hellevik L. R.
Journal of the Royal Society. Interface
Vol.15, Issue149, Num.20180546
Опубликовано: 2018
Тип ресурса: Статья
DOI:10.1098/rsif.2018.0546
Аннотация:
As computational models of the cardiovascular system are applied in modern personalized medicine, maximizing certainty of model input becomes crucial. A model with a high number of arterial segments results in a more realistic description of the system, but also requires a high number of parameters with associated uncertainties. In this paper, we present a method to optimize/reduce the number of arterial segments included in one-dimensional blood flow models, while preserving key features of flow and pressure waveforms. We quantify the preservation of key flow features for the optimal network with respect to the baseline networks (a 96-artery and a patient-specific coronary network) by various metrics and quantities like average relative error, pulse pressure and augmentation pressure. Furthermore, various physiological and pathological states are considered. For the aortic root and larger systemic artery pressure waveforms a network with minimal description of lower and upper limb art
Ключевые слова:
computational instantaneous wave-free ratio; haemodynamics; model optimization; model reduction; one-dimensional blood flow; pulse wave analysis
Blood; Hemodynamics; Uncertainty analysis; Blood flow; computational instantaneous wave-free ratio; Haemodynamics; Model optimization; Model reduction; Pulse wave analysis; One dimensional; adult; aortic root; article; blood flowmetry; carotid artery flow; controlled study; error; human; middle cerebral artery; pulse pressure; ultrasound; uncertainty; upper limb; waveform; anatomy and histology; aorta; arterial pressure; biological model; blood flow velocity; physiology; Aorta; Arterial Pressure; Blood Flow Velocity; Humans; Models, Cardiovascular
Язык текста: Английский
ISSN: 1742-5662
Fossan F. E.
Mariscal-Harana J.
Alastrue`j A. Kh. Arimon Khordi 1978-
Hellevik L. R.
Фоссан Ф. Е.
Марисcал-Харана Й.
Аластруэй А. Х. Аримон Хорди 1978-
Хеллевик Л. Р.
Optimization of topological complexity for one-dimensional arterial blood flow models
Текст визуальный непосредственный
Journal of the Royal Society. Interface
The Royal Society
Vol.15, Issue149 Num.20180546
2018
Статья
computational instantaneous wave-free ratio haemodynamics model optimization model reduction one-dimensional blood flow pulse wave analysis
Blood Hemodynamics Uncertainty analysis Blood flow computational instantaneous wave-free ratio Haemodynamics Model optimization Model reduction Pulse wave analysis One dimensional adult aortic root article blood flowmetry carotid artery flow controlled study error human middle cerebral artery pulse pressure ultrasound uncertainty upper limb waveform anatomy and histology aorta arterial pressure biological model blood flow velocity physiology Aorta Arterial Pressure Blood Flow Velocity Humans Models, Cardiovascular
As computational models of the cardiovascular system are applied in modern personalized medicine, maximizing certainty of model input becomes crucial. A model with a high number of arterial segments results in a more realistic description of the system, but also requires a high number of parameters with associated uncertainties. In this paper, we present a method to optimize/reduce the number of arterial segments included in one-dimensional blood flow models, while preserving key features of flow and pressure waveforms. We quantify the preservation of key flow features for the optimal network with respect to the baseline networks (a 96-artery and a patient-specific coronary network) by various metrics and quantities like average relative error, pulse pressure and augmentation pressure. Furthermore, various physiological and pathological states are considered. For the aortic root and larger systemic artery pressure waveforms a network with minimal description of lower and upper limb art