Skip to main content

Publications

Journal Publications

  1. E.L. Bradshaw, A.J. Kassab, and L.E. Perotti: “A Collaborative Anatomy Course for BME Graduate Students: An Institutional Longitudinal Case Study of Multidisciplinary Integration Using Labs and Assignments“, Biomedical Engineering Education, pp. 1-17, Aug. 2026.
  2. D. Ogiermann, A. Mohamed, L. E. Perotti, and D. Balzani: “A simple voltage‐modulated Markov chain model for the Piezo1 ion channel to investigate electromechanical pacing”, The Journal of Physiology, vol. 604, no. 13, pp. 5421–5439, July 2026.
  3. S. W. Sazzad, S. Dharmavaram, and L. E. Perotti: “Using topological defects to unfold thin structures: A graph-based approach with energy-driven distortion minimization”, International Journal of Solids and Structures, p. 113849, 2026.
  4. E. L. Bradshaw, L. E. Perotti, and A. Kassab: “Biomedical Engineering Students Report Positive Experiences Learning Anatomy from Human Cadavers”, Biomedical Engineering Education, vol. 5, no. 2, pp. 301–309, 2025.
  5. S. W. Sazzad, S. Dharmavaram, and L. E. Perotti: “A physics-based tessellation algorithm for particle assemblies on arbitrary surfaces”, Computer Physics Communications, vol. 300, p. 109166, 2024.
  6. D. Ogiermann, D. Balzani, and L. E. Perotti: “An explicit local space-time adaptive framework for monodomain models in cardiac electrophysiology”, Computer Methods in Applied Mechanics and Engineering, vol. 422, p. 116806, Mar. 2024.
  7. B. L. Sharma, L. E. Perotti, and S. Dharmavaram: “Computational modeling of coupled interactions of fluid membranes with embedded filaments”, Computer Methods in Applied Mechanics and Engineering, vol. 417, p. 116441, 2023.
  8. D. Ogiermann, L. E. Perotti, and D. Balzani: “A simple and efficient adaptive time stepping technique for low‐order operator splitting schemes applied to cardiac electrophysiology”, International Journal for Numerical Methods in Biomedical Engineering, vol. 39, no. 2, p. e3670, Feb. 2023.
  9. A. Von Zuben, L. E. Perotti, and F. A. C. Viana: “Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images”, Engineering Applications of Artificial Intelligence, vol. 121, p. 106012, 2023.
  10. F. Wei, K. Flowerdew, M. Kinzel, L.E. Perotti, J. Asiatico, M. Omer, C. Hovell, V. Reumers, M.J. Coathup., “Changes in interstitial fluid flow, mass transport and the bone cell response in microgravity and normogravity”, Bone research, vol. 10, no. 1, p. 65, 2022.
  11. S. Dharmavaram, X. Wan, and L. E. Perotti: “A Lagrangian thin-shell finite element method for interacting particles on fluid membranes”, Membranes, vol. 12, no. 10, p. 960, 2022.
  12. T. Rahman, K. Moulin, and L. E. Perotti: “Cardiac diffusion tensor biomarkers of chronic infarction based on in vivo data”, Applied Sciences, vol. 12, no. 7, p. 3512, 2022.
  13. K. Moulin, P. Croisille, M. Viallon, I. A. Verzhbinsky, L. E. Perotti, and D. B. Ennis: “Myofiber strain in healthy humans using DENSE and cDTI”, Magnetic Resonance in Medicine, vol. 86, no. 1, pp. 277–292, July 2021.
  14. M. Loecher, L. E. Perotti, and D. B. Ennis: “Using synthetic data generation to train a cardiac motion tag tracking neural network”, Medical image analysis, vol. 74, p. 102223, 2021.
  15. L.E. Perotti*, I.A. Verzhbinsky*, K. Moulin, T.E. Cork, M. Loecher, D. Balzani, D.B. Ennis: “Estimating cardiomyofiber strain in vivo by solving a computational model“. Medical Image Analysis, 101932, 2020 – in press.
  16. K. Moulin, I.A. Verzhbinsky, N.G. Maforo, L.E. Perotti, D.B. Ennis: “Probing cardiomyocyte mobility with multi-phase cardiac diffusion tensor MRI“. PloS one, Vol. 15, Issue 11, pp. e0241996, 2020.
  17. S. Dharmavaram, L.E. Perotti: “A Lagrangian formulation for interacting particles on a deformable medium”. Computer Methods in Applied Mechanics and Engineering, Vol. 364, pp. 112949, 2020.
  18. X. Li*, L.E. Perotti*, J.A. Martinez, S.M. Duarte-Vogel, D.B. Ennis, H.H. Wu: “Real-time 3T MRI-guided cardiovascular catheterization in a porcine model using a glass-fiber epoxy-based guidewire”. PLoS One, Vol. 15, Issue 2, pp. e0229711, 2020.
  19. I.A. Verzhbinsky*, L.E. Perotti*, K. Moulin, T.E. Cork, M. Loecher, D.B. Ennis: “Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MR” in IEEE Transactions on Medical Imaging. doi: 10.1109/TMI.2019.2933813
  20. L.E. Perotti, K. Zhang, R.F. Bruinsma, J. Rudnick: “Kirigami and the Caspar-Klug construction for viral shells with negative Gauss curvature“. Physical Review E, Vol. 99, Issue 2, pp. 022413, 2019.
  21. L.E. Perotti, A.V. Ponnaluri, S. Krishnamoorthi, D. Balzani, D.B. Ennis, W.S. Klug: “Method for the unique identification of hyperelastic material properties using full field measures. Application to the passive myocardium material response”. International Journal for Numerical Methods in Biomedical Engineering, Vol. 33, pp. e2866, 2017.
  22. A.V. Ponnaluri, L.E. Perotti, D.B. Ennis, W.S. Klug: “A Viscoactive Constitutive Modeling Framework with Variational Updates for the Myocardium”. Computer Methods in Applied Mechanics and Engineering, Vol. 314, pp. 85-101, 2017.
  23. A.R. Singh, L.E. Perotti, R.F. Bruinsma, J. Rudnick, W.S. Klug: “Ground state instabilities of protein shells are eliminated by buckling”. Soft Matter, Vol. 13, Issue 44, pp. 8300-8308, 2017. 
  24. L.E. Perotti, S. Dharmavaram, W.S. Klug, J. Marian, J. Rudnick, R. Bruinsma: “Useful Scars: Physics of the Capsids of Archaeal Viruses”. Physical Review E, Vol. 94, Issue 1, pp. 012404, 2016. 
  25. A.V. Ponnaluri*, L.E. Perotti*, M. Liu, Z. Qu, J.N. Weiss, D.B. Ennis, W.S. Klug, A. Garfinkel: “Electrophysiology of Heart Failure using a Rabbit Model: from the Failing Myocyte to Ventricular Fibrillation”. PLOS Computational Biology, Vol. 12, Issue 6, pp. e1004968, 2016.
  26. L.E. Perotti, J. Rudnick, R. Bruinsma, W.S. Klug: “Statistical Physics of Viral Capsids with Broken Symmetry”. Physical Review Letters, Vol. 115, Issue 5, pp. 058101, 2015.
  27. L.E. Perotti, S. Krishnamoorthi, N.P. Borgstrom, D.B. Ennis, W.S. Klug: “Regional segmentation of ventricular models to achieve repolarization dispersion in cardiac EP modeling”. International Journal for Numerical Methods in Biomedical Engineering, Vol. 31, Issue 8, pp. e02718, 2015.
  28. L.E. Perotti*, A. Aggarwal*, J. Rudnick, R. Bruinsma, W.S. Klug: “Elasticity Theory of the Maturation of Viral Capsids”. Journal of the Mechanics and Physics of Solids, Vol. 77, pp. 86-108, 2015.
  29. S. Krishnamoorthi, L.E. Perotti, N.P. Borgstrom, O.A. Ajijola, A. Frid, A.V. Ponnaluri, J.N. Weiss, Z. Qu, W.S. Klug, D.B. Ennis, A. Garfinkel: “Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology”. PLOS ONE, Vol. 9, Issue 12, pp. e114494, 2014.
  30. L.E. Perotti, A. Bompadre, M. Ortiz: “Automatically inf-sup compliant diamond mixed finite elements for Kirchhoff plates”. International Journal for Numerical Methods in Engineering, Vol. 96, Issue 7, pp. 405-424, Nov 2013.
  31. L.E. Perotti, R. Deiterding, K. Inaba, J. Shepherd, M. Ortiz: “Elastic response of water-filled fiber composite tubes under shock wave loading”. International Journal of Solids and Structures, Vol. 50, Issues 3-4, pp. 473-486, 2013.
  32. A. Bompadre, L.E. Perotti, C.J. Cyron, M. Ortiz: “Convergent meshfree approximation schemes of arbitrary order and smoothness”. Computer Methods in Applied Mechanics and Engineering, Vols. 221-222, pp. 83-103, 2012.
  33. V. Saouma, L. Perotti, T. Shimpo: “Stress analysis of concrete structures subjected to alkali-aggregate reactions”. American Concrete Institute, Structural Journal, Vol. 104, No. 5, pp. 532-541, Sept-Oct 2007.
  34. V. Saouma, L. Perotti: “Constitutive model for alkali-aggregate reactions”. American Concrete Institute, Materials Journal, Vol. 103, No. 3, pp. 194-202, May-June 2006.

         * = These authors contributed equally to this wor

Book Chapters

  1. M.M. Gibbons, L.E. Perotti, W.S. Klug: “Computational Mechanics of Viral Capsids”. In Protein Cages: Methods and Protocols, B. P. Orner editor, Springer, pp. 139-188, 2015.

Peer-reviewed Conference Articles

  1. M. Ali, F.F. Abir, T. Overton, M. Rakhshan, L.E. Perotti, L.J. Brattain: “Real-Time Median Nerve and Vessel Tracking in Ultrasound on Resource-Constrained Devices”. 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Toronto, Canada, July 2026.
  2. D. Ogiermann, D. Balzani, and L. E. Perotti: “Analyzing the Impact of Different Microstructure and Active Stress Models on Peak Systolic Kinematics”,  13th International Conference on Functional Imaging and Modeling of the Heart, pp. 305–318, Dallas, Texas, June 2025.
  3. T. E. Cork, A. J. Hannum, M. Loecher, L. E. Perotti, and D. B. Ennis: “Evaluating the Effect of Post-processing Steps When Analyzing Cardiac Diffusion Tensor Data”, 13th International Conference on Functional Imaging and Modeling of the Heart, pp. 137–149, Dallas, Texas, June 2025.
  4. A. J. Hannum, T. E. Cork, L. E. Perotti, and D. B. Ennis: “Characterizing Global and Regional Cardiac Diffusion Tensor Imaging Metrics in Healthy Subjects”, 13th International Conference on Functional Imaging and Modeling of the Heart, pp. 186–196, Dallas, Texas, June 2025.
  5. A.D. Marques, M.N. Jahromi, L. Wellner, A.J. Hannum, Z.Q. Liu,  D. Wu, D.B. Ennis, L.E. Perotti: “Evaluating Cardiac Strains from One and Two Short-Axis Slice Models Based on DENSE and Cine MRI”, 13th International Conference on Functional Imaging and Modeling of the Heart, pp. 126–136, Dallas, Texas, June 2025. 
  6. M. Naqizadeh Jahromi, A. Delavald Marques, M. Ahmed, Z.Q. Liu, A.J. Hannum, D.B. Ennis, L.E.Perotti, D. Wu: “An nnU-net model to enhance segmentation of cardiac cine dense-MRI using phase information”,  Multimodal4Healthcare Workshop at The 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), Orlando, June, 2024.
  7. D. Ogiermann, D. Balzani, and L. E. Perotti: “An Extended Generalized Hill Model for Cardiac Tissue: Comparison with Different Approaches Based on Experimental Data“, 12th International Conference on Functional Imaging and Modeling of the Heart, pp. 555–564, Lyon, France, June 2023.
  8. A. V. Zuben, E. Whitt, F. A. C. Viana, and L. E. Perotti, “Long Axis Cardiac MRI Segmentation Using Anatomically-Guided UNets and Transfer Learning”, 12th International Conference on Functional Imaging and Modeling of the Heart, pp. 274–282, Lyon, France, June 2023.
  9. A. J. Wilson, Q. J. Han, L. E. Perotti, and D. B. Ennis, “Ventricular Helix Angle Trends and Long-Range Connectivity”, 12th International Conference on Functional Imaging and Modeling of the Heart, pp. 64–73, Lyon, France, June 2023.
  10. D. Ogiermann, D. Balzani, and L. E. Perotti, “The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations”, 11th International Conference on Functional Imaging and Modeling of the Heart, pp.  503-514, Stanford, California, June 2021.
  11. T. Rahman, K. Moulin, D. B. Ennis, and L. E. Perotti, “Diffusion Biomarkers in Chronic Myocardial Infarction”, 11th International Conference on Functional Imaging and Modeling of the Heart, pp.  137–147, Stanford, California, June 2021.
  12. M. Loecher, A. J. Hannum, L. E. Perotti, and D. B. Ennis, “Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI”, 11th International Conference on Functional Imaging and Modeling of the Heart, pp.  213–222, Stanford, California, June 2021.
  13. A. Von Zuben, K. Heckman, F. A. C. Viana, and L. E. Perotti, “A Multi-step Machine Learning Approach for Short Axis MR Images Segmentation”, 11th International Conference on Functional Imaging and Modeling of the Heart, pp.  122–133, Stanford, California, June 2021.
  14. T.E. Cork, L.E. Perotti, I.A. Verzhbinsky, M. Loecher, D.B. Ennis: “High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing”. 10th International Conference on Functional Imaging and Modeling of the Heart, pp. 177-186, Bordeaux, France, June, 2019.
  15. A.V.S. Ponnaluri, I.A. Verzhbinsky, J.D. Eldredge, A. Garfinkel, D.B. Ennis, L.E. Perotti: “Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions”. 10th International Conference on Functional Imaging and Modeling of the Heart, pp. 294-303, Bordeaux, France, June, 2019.
  16. I.A. Verzhbinsky, P. Magrath, E. Aliotta, D.B. Ennis, L.E. Perotti: “Time Resolved Displacement-Based Registration of In Vivo cDTI Cardiomyocyte Orientations”. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 474–478, Washington, D.C., April 2018.
  17. L.E. Perotti, P. Magrath, I.A. Verzhbinsky, E. Aliotta, K. Moulin, D.B. Ennis: “Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI”. 9th International Conference on Functional Imaging and Modelling of the Heart, pp. 381-391, Toronto, Canada, June 2017 – Best Paper Award.
  18. B. Li, L. Perotti, M. Adams, J. Mihaly, A.J. Rosakis, M. Stalzer, M. Ortiz: “Large scale Optimal Transportation Meshfree (OTM) simulations of hypervelocity impact”. Procedia Engineering, Vol. 58, pp. 320-327, 2013.
  19. A. Bompadre, L.E. Perotti, C.J. Cyron, M. Ortiz: “HOLMES: Convergent Meshfree Approximation Schemes of Arbitrary Order and Smoothness”. Proceedings of the Sixth International Workshop on Meshfree Methods for PDE, Bonn, Germany, 2011. Published in: Meshfree Methods for Partial Differential Equations VI, Lecture Notes in Computational Science and Engineering, Vol. 89, pp. 111-126, Stanford, California, June 2021.

University of Central Florida, Orlando, FL

Engineering 1, Room 361