Quantification of blood flow patterns in the cerebral arterial circulation of individual (human) subjects.
Chang Sub ParkGrant HartungAli AlarajXinjian DuFady T CharbelAndreas A LinningerPublished in: International journal for numerical methods in biomedical engineering (2019)
There is a growing research interest in quantifying blood flow distribution for the entire cerebral circulation to sharpen diagnosis and improve treatment options for cerebrovascular disease of individual patients. We present a methodology to reconstruct subject-specific cerebral blood flow patterns in accordance with physiological and fluid mechanical principles and optimally informed by in vivo neuroimage data of cerebrovascular anatomy and arterial blood flow rates. We propose an inverse problem to infer blood flow distribution across the visible portion of the arterial network that best matches subject-specific anatomy and a given set of volumetric flow measurements. The optimization technique also mitigates the effect of uncertainties by reconciling incomplete flow data and by dissipating unavoidable acquisition errors associated with medical imaging data.
Keyphrases
- blood flow
- cerebral blood flow
- electronic health record
- end stage renal disease
- big data
- endothelial cells
- healthcare
- chronic kidney disease
- subarachnoid hemorrhage
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- adverse drug
- mass spectrometry
- patient reported outcomes
- data analysis
- patient safety
- radiation therapy
- artificial intelligence
- blood brain barrier
- patient reported
- finite element
- pluripotent stem cells
- photodynamic therapy
- fluorescence imaging