Center for Biomedical Computing (SFF)

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Publications at Center for Biomedical Computing (SFF)
Book
Introduction to Numerical Methods for Variational Problems
Vol. 21. Cham: Springer International Publishing, 2019.Status: Published
Introduction to Numerical Methods for Variational Problems
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF) |
Publication Type | Book |
Year of Publication | 2019 |
Volume | 21 |
Publisher | Springer International Publishing |
Place Published | Cham |
ISBN | 1611-0994 |
ISBN Number | 978-3-030-23787-5 |
URL | http://link.springer.com/10.1007/978-3-030-23788-2http://link.springer.c... |
DOI | 10.1007/978-3-030-23788-2 |
Book Chapter
Astrocytic Ion Dynamics: Implications for Potassium Buffering and Liquid Flow
In Computational Glioscience . Springer Series in Computational Neuroscience: Springer, 2019.Status: Published
Astrocytic Ion Dynamics: Implications for Potassium Buffering and Liquid Flow
Afilliation | Scientific Computing |
Project(s) | Waterscales: Mathematical and computational foundations for modeling cerebral fluid flow, Center for Biomedical Computing (SFF) |
Publication Type | Book Chapter |
Year of Publication | 2019 |
Book Title | Computational Glioscience |
Publisher | Springer |
Place Published | Springer Series in Computational Neuroscience |
Journal Article
The trade off between tidal-turbine array yield and environmental impact: a multi-objective optimisation problem
Renewable Energy 114 (2019): 390-403.Status: Published
The trade off between tidal-turbine array yield and environmental impact: a multi-objective optimisation problem
In the drive towards a carbon-free society, tidal energy has the potential to become a valuable part of the UK energy supply. Developments are subject to intense scrutiny, and potential environmental impacts must be assessed. Unfortunately many of these impacts are still poorly understood, including the implications that come with altering the hydrodynamics. Here, methods are proposed to quantify ecological impact and to incorporate its minimisation into the array design process. Four tidal developments in the Pentland Firth are modelled with the array optimisation tool OpenTidalFarm, that designs arrays to generate the maximum possible profit. Maximum entropy modelling is used to create habitat suitability maps for species that respond to changes in bed-shear stress. Changes in habitat suitability caused by an altered tidal regime are assessed. OpenTidalFarm is adapted to simultaneously optimise array design to maximise both this habitat suitability and to maximise the profit of the array. The problem is thus posed as a multi-objective optimisation problem, and a set of Pareto solutions found, allowing trade-offs between these two objectives to be identified. The methods proposed generate array designs that have reduced negative impact, or even positive impact, on the habitat suitability of specific species or habitats of interest.
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF), OptCutCell: Simulation-based optimisation with dynamic domains |
Publication Type | Journal Article |
Year of Publication | 2019 |
Journal | Renewable Energy |
Volume | 114 |
Pagination | 390-403 |
Publisher | Elsevier |
DOI | 10.1016/j.renene.2019.04.141 |
Journal Article
Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems
Nature Scientific Reports 8 (2018).Status: Published
Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems
While cardiomyocytes differentiated from human induced pluripotent stems cells (hiPSCs) hold great promise for drug screening, the electrophysiological properties of these cells can be variable and immature, producing results that are significantly different from their human adult counterparts. Here, we describe a computational framework to address this limitation, and show how in silico methods, applied to measurements on immature cardiomyocytes, can be used to both identify drug action and to predict its effect in mature cells. Our synthetic and experimental results indicate that optically obtained waveforms of voltage and calcium from microphysiological systems can be inverted into information on drug ion channel blockage, and then, through assuming functional invariance of proteins during maturation, this data can be used to predict drug induced changes in mature ventricular cells. Together, this pipeline of measurements and computational analysis could significantly improve the ability of hiPSC derived cardiomycocytes to predict dangerous drug side effects.
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF) |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | Nature Scientific Reports |
Volume | 8 |
Number | 17626 |
Date Published | 12/2018 |
Publisher | Springer Nature |
URL | https://doi.org/10.1038/s41598-018-35858-7 |
DOI | 10.1038/s41598-018-35858-7 |
Multivariate Polynomial Chaos Expansions with Dependent Variables
SIAM Journal on Scientific Computing 40, no. 1 (2018): A199-A223.Status: Published
Multivariate Polynomial Chaos Expansions with Dependent Variables
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF) |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | SIAM Journal on Scientific Computing |
Volume | 40 |
Issue | 1 |
Pagination | A199–A223 |
Date Published | 01/2018 |
Publisher | SIAM |
DOI | 10.1137/15M1020447 |
Computing stationary solutions of the two-dimensional Gross–Pitaevskii equation with deflated continuation
Communications in Nonlinear Science and Numerical Simulation 54 (2018): 482-499.Status: Published
Computing stationary solutions of the two-dimensional Gross–Pitaevskii equation with deflated continuation
In this work we employ a recently proposed bifurcation analysis technique, the deflated continuation algorithm, to compute steady-state solitary waveforms in a one-component, two-dimensional nonlinear Schrödinger equation with a parabolic trap and repulsive interactions. Despite the fact that this system has been studied extensively, we discover a wide variety of previously unknown branches of solutions. We analyze the stability of the newly discovered branches and discuss the bifurcations that relate them to known solutions both in the near linear (Cartesian, as well as polar) and in the highly nonlinear regimes. While deflated continuation is not guaranteed to compute the full bifurcation diagram, this analysis is a potent demonstration that the algorithm can discover new nonlinear states and provide insights into the energy landscape of complex high-dimensional Hamiltonian dynamical systems.
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF) |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | Communications in Nonlinear Science and Numerical Simulation |
Volume | 54 |
Pagination | 482-499 |
Publisher | Elsevier |
DOI | 10.1016/j.cnsns.2017.05.024 |
Variational data assimilation for transient blood flow simulations
International Journal for Numerical Methods in Biomedical Engineering 35, no. 1 (2018): e3152.Status: Published
Variational data assimilation for transient blood flow simulations
Several cardiovascular diseases are caused from localised abnormal blood flow such as in the case of stenosis or aneurysms. Prevailing theories propose that the development is caused by abnormal wall-shear stress in focused
areas. Computational fluid mechanics have arisen as a promising tool for a more precise and quantitative analysis, in particular because the anatomy is often readily available even by standard imaging techniques such as magnetic resolution and computed tomography angiography. However, computational fluid mechanics rely on accurate initial and boundary conditions which is difficult to obtain. In this paper we address the problem of recovering high resolution information from noisy, low-resolution measurements of blood flow using variational data assimilation based on a transient Navier-Stokes model. Numerical experiments are performed in both 2D and 3D and with pulsatile flow relevant for physiological flow in cerebral aneurysms. The results demonstrate that, with suitable regularisation, the model accurately reconstructs flow, even in the presence of significant noise.
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF), OptCutCell: Simulation-based optimisation with dynamic domains |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | International Journal for Numerical Methods in Biomedical Engineering |
Volume | 35 |
Issue | 1 |
Pagination | e3152 |
Date Published | 10/2018 |
Publisher | John Wiley & Sons |
Keywords | adjoint equations, blood flow, Finite element method, Navier-Stokes, optimal control, variational data assimilation |
Fast Dictionary Learning from Incomplete Data
EURASIP Journal on Advances in Signal Processing 2018, no. 1 (2018): 12.Status: Published
Fast Dictionary Learning from Incomplete Data
This paper extends the recently proposed and theoretically justified iterative thresholding and K residual means algorithm ITKrM to learning dicionaries from incomplete/masked training data (ITKrMM). It further adapts the algorithm to the presence of a low rank component in the data and provides a strategy for recovering this low rank component again from incomplete data. Several synthetic experiments show the advantages of incorporating information about the corruption into the algorithm. Finally, image inpainting is considered as application example, which demonstrates the superior performance of ITKrMM in terms of speed and/or reconstruction quality compared to its closest dictionary learning counterpart.
Afilliation | Scientific Computing |
Project(s) | FunDaHD: Function-driven Data Learning in High Dimension, Center for Biomedical Computing (SFF) |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | EURASIP Journal on Advances in Signal Processing |
Volume | 2018 |
Issue | 1 |
Pagination | 12 |
Date Published | 02/2018 |
Publisher | Springer |
URL | http://rdcu.be/HD8p |
DOI |
Book
Mesh dependence in PDE-constrained optimisation
In An Application in Tidal Turbine Array Layouts. Berlin / Heidelberg: Springer Research Brief, 2017.Status: Published
Mesh dependence in PDE-constrained optimisation
This book provides an introduction to PDE-constrained optimisation using finite elements and the adjoint approach. The practical impact of the mathematical insights presented here are demonstrated using the realistic scenario of the optimal placement of marine power turbines, thereby illustrating the real-world relevance of best-practice Hilbert space aware approaches to PDE-constrained optimisation problems.
Many optimisation problems that arise in a real-world context are constrained by partial differential equations (PDEs). That is, the system whose configuration is to be optimised follows physical laws given by PDEs. This book describes general Hilbert space formulations of optimisation algorithms, thereby facilitating optimisations whose controls are functions of space. It demonstrates the importance of methods that respect the Hilbert space structure of the problem by analysing the mathematical drawbacks of failing to do so. The approaches considered are illustrated using the optimisation problem arising in tidal array layouts mentioned above.
This book will be useful to readers from engineering, computer science, mathematics and physics backgrounds interested in PDE-constrained optimisation and their real-world applications.
Afilliation | Scientific Computing |
Project(s) | OptCutCell: Simulation-based optimisation with dynamic domains, Center for Biomedical Computing (SFF) |
Publication Type | Book |
Year of Publication | 2017 |
Secondary Title | An Application in Tidal Turbine Array Layouts |
Edition | 1 |
Number of Pages | 111 |
Publisher | Springer Research Brief |
Place Published | Berlin / Heidelberg |
ISBN Number | 978-3-319-59482-8 |
URL | http://www.springer.com/us/book/9783319594828 |
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
In 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Berlin Heidelberg: Springer International Publishing, 2017.Status: Published
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Afilliation | Scientific Computing |
Project(s) | Center for Biomedical Computing (SFF) |
Publication Type | Book |
Year of Publication | 2017 |
Secondary Title | 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers |
Publisher | Springer International Publishing |
Place Published | Berlin Heidelberg |
URL | http://www.springer.com/gp/book/9783319527178 |
DOI | 10.1007/978-3-319-52718-5 |