The aim of our research is to understand the relationship between airflows in the lung and respiratory diseases. In particular, we use computational fluid dynamics techniques to simulate patient-specific airflows in healthy lungs and those in diseased lungs with lower-airway obstructions. This approach will provide a foundation for the development of non-invasive tools to diagnose diseases of the lower airways.
Hariprasad, D. S., B. Sul, C. Liu, K. T. Kiger, T. Altes, K. Ruppert, J. Reifman, and A. Wallqvist. Obstructions in the lower airways lead to altered airflow patterns in the central airway. Respiratory Physiology & Neurobiology. 2020 February 1; 272:103311. [PDF, PubMed]
Sul, B., T. Altes, K. Ruppert, K. Qing, D. S. Hariprasad, M. Morris, J. Reifman, and A. Wallqvist. Dynamics of the tracheal airway and its influences on respiratory airflows: an exemplar study. Journal of Biomechanical Engineering. 2019 November 1; 141(11):111009. [PDF, PubMed]
Sul, B., L. Flors, J. Cassani, M. J. Morris, J. Reifman, T. Altes, and A. Wallqvist. Volumetric characteristics of idiopathic pulmonary fibrosis lungs: computational analyses of high-resolution computed tomography images of lung lobes. Respiratory Research. 2019 October 11; 20(1):216. [PDF, PubMed]
Sul, B., Z. Oppito, S. Jayasekera, B. Vanger, A. Zeller, M. Morris, K. Ruppert, T. Altes, V. Rakesh, S. Day, R. Robinson, J. Reifman, and A. Wallqvist. Assessing airflow sensitivity to healthy and diseased lung conditions in a computational fluid dynamics model validated in vitro. Journal of Biomechanical Engineering. 2018 May 1; 140(5):051009. [PDF, PubMed]
Sul, B., A. Wallqvist, M. J. Morris, J. Reifman, and V. Rakesh. A computational study of the respiratory airflow characteristics in normal and obstructed human airways. Computers in Biology and Medicine. 2014 September 1; 52:130-143. [PDF, PubMed]