King's College London

Research portal

Dr David Nordsletten

  1. False lumen pressure estimation in type B aortic dissection using 4D flow cardiovascular magnetic resonance: comparisons with aortic growth

    Marlevi, D., Sotelo, J. A., Grogan-Kaylor, R., Ahmed, Y., Uribe, S., Patel, H. J., Edelman, E. R., Nordsletten, D. A. & Burris, N. S., Dec 2021, In: Journal of Cardiovascular Magnetic Resonance. 23, 1, 51.

    Research output: Contribution to journalArticlepeer-review

  2. Comparative Analysis of Nonlinear Viscoelastic Models Across Common Biomechanical Experiments

    Zhang, W., Capilnasiu, A. & Nordsletten, D., Aug 2021, In: JOURNAL OF ELASTICITY. 145, 1-2, p. 117-152 36 p.

    Research output: Contribution to journalArticlepeer-review

  3. Investigating the reference domain influence in personalised models of cardiac mechanics: Effect of unloaded geometry on cardiac biomechanics

    Hadjicharalambous, M., Stoeck, C. T., Weisskopf, M., Cesarovic, N., Ioannou, E., Vavourakis, V. & Nordsletten, D. A., Aug 2021, In: Biomechanics and Modeling in Mechanobiology. 20, 4, p. 1579-1597 19 p.

    Research output: Contribution to journalArticlepeer-review

  4. CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation

    Arthurs, C. J., Khlebnikov, R., Melville, A., Marčan, M., Gomez, A., Dillon-Murphy, D., Cuomo, F., Vieira, M. S., Schollenberger, J., Lynch, S. R., Tossas-Betancourt, C., Iyer, K., Hopper, S., Livingston, E., Youssefi, P., Noorani, A., Ahmed, S. B., Nauta, F. J. H., van Bakel, T. M. J., Ahmed, Y. & 14 others, van Bakel, P. A. J., Mynard, J., Di Achille, P., Gharahi, H., Lau, K. D., Filonova, V., Aguirre, M., Nama, N., Xiao, N., Baek, S., Garikipati, K., Sahni, O., Nordsletten, D. & Alberto Figueroa, C., May 2021, In: PLoS Computational Biology. 17, 5, e1008881.

    Research output: Contribution to journalArticlepeer-review

  5. A Viscoelastic Model for Human Myocardium

    Nordsletten, D., Capilnasiu, A., Zhang, W., Wittgenstein, A. S., Hadjicharalambous, M., Sommer, G., Sinkus, R. & Holzapfel, G., 2021, (Accepted/In press) In: Acta Biomaterialia.

    Research output: Contribution to journalArticlepeer-review

  6. An Exploratory Assessment of Focused Septal Growth in Hypertrophic Cardiomyopathy

    Hager, S. P., Zhang, W., Miller, R. M., Lee, J. & Nordsletten, D. A., 2021, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 328-339 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12738 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  7. Estimation of Cardiac Valve Annuli Motion with Deep Learning

    Kerfoot, E., King, C. E., Ismail, T., Nordsletten, D. & Miller, R., 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 146-155 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12592 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  8. Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRI

    Marlevi, D., Schollenberger, J., Aristova, M., Ferdian, E., Ma, Y., Young, A. A., Edelman, E. R., Schnell, S., Figueroa, C. A. & Nordsletten, D. A., 2021, (Accepted/In press) In: Magnetic Resonance in Medicine.

    Research output: Contribution to journalArticlepeer-review

  9. Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy

    Marlevi, D., Balmus, M., Hessenthaler, A., Viola, F., Fovargue, D., De Vecchi, A., Lamata de la Orden, P., Burris, N., Pagani, F., Engvall, J., Edelman, E. R., Ebbers, T. & Nordsletten, D., 7 Dec 2020, (Accepted/In press) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  10. Nonlinear viscoelastic constitutive model for bovine liver tissue

    Capilnasiu, A. I., Bilston, L., Sinkus, R. & Nordsletten, D., 1 Oct 2020, In: Biomechanics and Modeling in Mechanobiology. 19, 5, p. 1641-1662 22 p.

    Research output: Contribution to journalArticlepeer-review

  11. A partition of unity approach to fluid mechanics and fluid–structure interaction

    Balmus, M., Massing, A., Hoffman, J., Razavi, R. & Nordsletten, D. A., 15 Apr 2020, In: COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. 362, 112842.

    Research output: Contribution to journalArticlepeer-review

  12. An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials

    Zhang, W., Capilnasiu, A., Sommer, G., Holzapfel, G. A. & Nordsletten, D. A., 15 Apr 2020, In: COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. 362, 112834.

    Research output: Contribution to journalArticlepeer-review

  13. Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy

    Marlevi, D., Ha, H., Dillon-Murphy, D., Fernandes, J. F., Fovargue, D., Colarieti-Tosti, M., Larsson, M., Lamata, P., Figueroa, C. A., Ebbers, T. & Nordsletten, D. A., 1 Feb 2020, In: Medical Image Analysis. 60, 101627.

    Research output: Contribution to journalArticlepeer-review

  14. Multilevel convergence analysis of multigrid-reduction-in-time

    Hessenthaler, A., Southworth, B. S., Nordsletten, D., Röhrle, O., Falgout, R. D. & Schroder, J. B., 1 Jan 2020, In: SIAM JOURNAL ON SCIENTIFIC COMPUTING. 42, 2, p. A771-A4796

    Research output: Contribution to journalArticlepeer-review

  15. Modelling Left Atrial Flow and Blood Coagulation for Risk of Thrombus Formation in Atrial Fibrillation

    Qureshi, A., Darwish, O., Chubb, H., Williams, S., Nechipurenko, D., Ataullakhanov, F., Nordsletten, D., Aslanidi, O. & De Vecchi, A., 2020, Computing in Cardiology 2020. IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  16. Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations

    Nasopoulou, A., Nordsletten, D. A., Niederer, S. A. & Lamata, P., 30 May 2019, Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings. Ozenne, V., Vigmond, E., Coudière, Y. & Zemzemi, N. (eds.). p. 313-322 10 p. (Lecture Notes in Computer Science; vol. 11504).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  17. Imaging localized neuronal activity at fast time scales through biomechanics

    Patz, S., Fovargue, D., Schregel, K., Nazari, N., Palotai, M., Barbone, P. E., Fabry, B., Hammers, A., Holm, S., Kozerke, S., Nordsletten, D. & Sinkus, R., 17 Apr 2019, In: Science Advances. 5, 4, 13 p., eaav3816.

    Research output: Contribution to journalArticlepeer-review

  18. Imaging localized neuronal activity at fast timescales through biomechanics

    Fovargue, D., Patz, S., Schregel, K., Nazari, N., Palotai, M., Barbone, P. E., Fabry, B., Hammers, A., Holm, S., Kozerke, S., Nordsletten, D. & Sinkus, R., 28 Feb 2019, (Accepted/In press) In: Science Advances.

    Research output: Contribution to journalArticlepeer-review

  19. Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation

    Monaci, S., Nordsletten, D. & Aslanidi, O., 14 Feb 2019, Lecture Notes in Computer Science: International Workshop on Statistical Atlases and Computational Models of the Heart 2018. Zhao, J., Sermesant, M., Young, A., Rhode, K., Li, S., McLeod, K., Pop, M. & Mansi, T. (eds.). Springer‐Verlag Berlin Heidelberg, Vol. 11395. p. 103-113 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  20. A novel magnetic resonance elastography transducer concept based on a rotational eccentric mass: preliminary experiences with the gravitational transducer

    Runge, J. H., Hoelzl, S. H., Sudakova, J., Dokumaci, A. S., Nelissen, J. L., Guenthner, C., Lee, J., Troelstra, M., Fovargue, D., Stoker, J., Nederveen, A. J., Nordsletten, D. & Sinkus, R., 6 Feb 2019, In: Physics in Medicine and Biology. 64, 4, 1 p., 045007.

    Research output: Contribution to journalArticlepeer-review

  21. Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy

    Marlevi, D., Ruijsink, B., Balmus, M., Dillon-Murphy, D., Fovargue, D., Pushparajah, K., Bertoglio, C., Colarieti-Tosti, M., Larsson, M., Lamata, P., Figueroa, C. A., Razavi, R. & Nordsletten, D. A., 4 Feb 2019, In: Scientific Reports. 9, 1, 16 p., 1375.

    Research output: Contribution to journalArticlepeer-review

  22. Left ventricular outflow obstruction predicts increase in systolic pressure gradients and blood residence time after transcatheter mitral valve replacement

    De Vecchi, A., Marlevi, D., Nordsletten, D., Ntalas, I., Leipsic, J., Bapat, V. N., Rajani, R. & Niederer, S. A., 19 Oct 2018, In: Scientific Reports. 8, 15540 .

    Research output: Contribution to journalArticlepeer-review

  23. Stiffness reconstruction methods for MR elastography

    Fovargue, D., Nordsletten, D. & Sinkus, R., 18 May 2018, In: NMR in Biomedicine.

    Research output: Contribution to journalArticlepeer-review

  24. Convergence of the multigrid reduction in time algorithm for the linear elasticity equations

    Hessenthaler, A., Nordsletten, D., Röhrle, O., Schroder, J. B. & Falgout, R. D., 1 May 2018, In: Numerical Linear Algebra with Applications. 25, 3, e2155.

    Research output: Contribution to journalArticlepeer-review

  25. Evaluation of radiofrequency catheter ablation settings for variable atrial tissue depth and flow conditions

    Dillon-Murphy, D., Nordsletten, D., Soor, N., Chubb, H., O'Neill, M., De Vecchi, A. & Aslanidi, O., 5 Apr 2018, In: Computing in Cardiology. 44, p. 1-4 4 p., 17681512.

    Research output: Contribution to journalConference paperpeer-review

  26. The use of biophysical flow models in the surgical management of patients affected by Chronic Thromboembolic Pulmonary Hypertension

    Spazzapan, M., Sastry, P., Dunning, J., Nordsletten, D. & de Vecchi, A., 13 Mar 2018, In: Frontiers in Physiology. 9, MAR, 223.

    Research output: Contribution to journalArticlepeer-review

  27. Relative pressure estimation from velocity measurements in blood flows: State-of-the-art and new approaches

    Bertoglio, C., Nuñez, R., Galarce, F., Nordsletten, D. & Osses, A., 9 Nov 2017, In: International Journal For Numerical Methods In Biomedical Engineering.

    Research output: Contribution to journalArticlepeer-review

  28. Semi-automatic cardiac and respiratory gated MRI for cardiac assessment during exercise

    Ruijsink, B., Puyol Anton, E., Usman, M., van Amerom, J., Duong, P., Velasco Forte, M., Pushparajah, K., Frigiola, A., Nordsletten, D., King, A. & Razavi, R., 9 Sep 2017, Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - 5th International Workshop, CMMI 2017 2nd International Workshop, RAMBO 2017 and 1st International Workshop, SWITCH 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10555 LNCS. p. 86-95 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10555 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contributionpeer-review

  29. Experiment for validation of fluid-structure interaction models and algorithms

    Hessenthaler, A., Gaddum, N. R., Holub, O., Sinkus, R., Röhrle, O. & Nordsletten, D., 1 Sep 2017, In: International Journal For Numerical Methods In Biomedical Engineering. 33, 9, e2848.

    Research output: Contribution to journalArticlepeer-review

  30. Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI

    Hessenthaler, A., Röhrle, O. & Nordsletten, D., Aug 2017, In: International Journal For Numerical Methods In Biomedical Engineering. 33, 8, p. e2845

    Research output: Contribution to journalArticlepeer-review

  31. Learning optimal spatial scales for cardiac strain analysis using a motion atlas

    Sinclair, M., Peressutti, D., Puyol Anton, E., Bai, W., Nordsletten, D., Hadjicharalambous, M., Kerfoot, E., Jackson, T., Claridge, S., Rinaldi, C. A., Rueckert, D. & King, A., 24 Jan 2017, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer‐Verlag Berlin Heidelberg, Vol. 10124 LNCS. p. 57-65 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10124 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  32. Beyond Bernoulli: Improving the Accuracy and Precision of Noninvasive Estimation of Peak Pressure Drops

    Donati, F., Myerson, S., Bissell, M. M., Smith, N. P., Neubauer, S., Monaghan, M. J., Nordsletten, D. A. & Lamata de la Orden, P., 17 Jan 2017, In: Circulation-Cardiovascular imaging. 10, 1, 9 p., e005207.

    Research output: Contribution to journalArticlepeer-review

  33. Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

    Chabiniok, R., Wang, V., Hadjicharalambous, M., Asner, L., Lee, C. J., Sermesant, M., Kuhl, E., Young, A., Moireau, P., Nash, M., Chapelle, D. & Nordsletten, D., 19 Feb 2016, In: Interface Focus. 6, 2, 24 p.

    Research output: Contribution to journalArticlepeer-review

  34. Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis

    Kerfoot, E. D., Fovargue, L. E., Rivolo, S., Shi, W., Rueckert, D., Nordsletten, D., Lee, J., Chabiniok, R. & Razavi, R., 2016, Medical Imaging and Augmented Reality: 7th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016, Proceedings. Springer International Publishing, Vol. 9805. p. 425-437 13 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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