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Emma M. L. Chung

Publications and source records attributed to Emma M. L. Chung.

3 recordsLinked to original sources

Three dimensional simulations of embolic stroke: clinical comparisons and an equation for sizing emboli from imaging

There is a need to develop Monte Carlo simulations of stroke to run in-silico trials to replace animal models, explore clinical scenarios to develop hypotheses for clinical studies and for interpreting clinical monitoring. We perform three-dimensional (3D) stroke simulations, carrying out in-silico trials to relate lesion volume to embolus diameter and calculate probabilistic lesion overlap maps, building on our previous Monte Carlo method. Simulated emboli were released into a 3D in silico vasculature, supplying gray and white matter brain volumes, to generate individual lesion estimates and probabilistic lesion overlap maps. Computer generated lesions were assessed by clinicians and compared with real world radiological images. Simulations of large single emboli reproduced similar middle cerebral artery (MCA), posterior cerebral artery (PCA) and anterior cerebral artery (ACA) lesions to those observed clinically. A proof-of-concept in-silico trial led to a conjecture relating estimated infarct volume as a percentage of total brain volume to relative embolus diameter: $\mathrm{relative diameter} = [\% \mathrm{infarct volume} / a]^{1/b}$, where $a= 104.2 \pm 0.98$, $b=3.380 \pm 0.030$. Probabilistic lesion overlap maps were created, confirming the MCA territory as the most probable resting place of emboli in the computational vasculature, followed by the PCA then ACA. The article shows proof of concept for developing a 3D stroke model from an automatically constructed vasculature.

physics.med-ph↗

Development of a globally optimised model of the cerebral arteries

The cerebral arteries are difficult to reproduce from first principles, featuring interwoven territories, and intricate layers of grey and white matter with differing metabolic demand. The aim of this study was to identify the ideal configuration of arteries required to sustain an entire brain hemisphere based on minimisation of the energy required to supply the tissue. The 3D distribution of grey and white matter within a healthy human brain was first segmented from Magnetic Resonance Images. A novel simulated annealing algorithm was then applied to determine the optimal configuration of arteries required to supply brain tissue. The model is validated through comparison of this ideal, entirely optimised, brain vasculature with the known structure of real arteries. This establishes that the human cerebral vasculature is highly optimised; closely resembling the most energy efficient arrangement of vessels. In addition to local adherence to fluid dynamics optimisation principles, the optimised vasculature reproduces global brain perfusion territories with well defined boundaries between anterior, middle and posterior regions. This validated brain vascular model and algorithm can be used for patient-specific modelling of stroke and cerebral haemodynamics, identification of sub-optimal conditions associated with vascular disease, and optimising vascular structures for tissue engineering and artificial organ design.

physics.med-ph↗

Simulated annealing approach to vascular structure with application to the coronary arteries

Does the complex processes of angiogenesis during organism development ultimately lead to a near optimal coronary vasculature in the organs of adult mammals? We examine this hypothesis using a powerful and universal method, built on physical and physiological principles, for the determination of globally energetically optimal arterial trees. The method is based on simulated annealing, and can be used to examine arteries in hollow organs with arbitrary tissue geometries. We demonstrate that the approach can generate in-silico vasculatures which closely match porcine anatomical data for the coronary arteries on all length scales, and that the optimised arterial trees improve systematically as computational time increases. The method presented here is general, and could in principle be used to examine the arteries of other organs. Potential applications include improvement of medical imaging analysis and the design of vascular trees for artificial organs.

physics.bio-ph↗