This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Background: Implantable cardioverter-defibrillators (ICDs) have become a standard tool of modern interventional cardiology. Many years of development have led to a well-accepted standard of practice for a large and ever-growing cohort of patients. However, despite the considerable level of clinical success, an increasingly large, diverse population of patients with ICDs has exposed some of the limitations of this clinical technology. We are currently seeing a conjunction of broader use of ICDs on a more diverse population, in terms of age, anatomy, and clinical indication. Likewise, there has been a surge of recent academic and industrial attention to the problem of lead failure. All of these factors require a simulation package for """"""""personalized"""""""" patient-specific defibrillation modeling of broad visibility. Finally, we expect our tools to have the flexibility to accommodate novel lead designs, as well as the unprecedented ability to compute results in complex anatomical scenarios. Rationale: We propose to continue and deepen our work on defibrillation modeling in the human torso, with special emphasis on non-standard anatomies and non-standard lead configurations, in collaboration with pediatric cardiologists at Children's Hospital Boston and Stanford University, a leading researcher on mechanics of defibrillation at John's Hopkins University, and an adult interventional cardiologist at University of Utah. The goal is to take significant steps toward improving our understanding of robust and efficient defibrillation approaches that have the potential to impact clinical practice in this critically important area of device-based intervention. Questions: Current ICD designs have been suboptimal for many patients considered to be """"""""successfully"""""""" treated, and inadequate for special patient populations and subcutaneous applications. However, because departure from established technologies is both high-risk and expensive, device design has been very conservative and basic implant strategies have changed little since the technology was introduced. Design &Methods: The scientific methods and objectives of the DBP are as follows: (1) Increase our ability to confidently predict, via use of a simulation tool, intrathoracic fields produced by variable designs and numbers of implanted electrodes in a variety of poses;(2) Increase our understanding of how myocardial fiber structure influences the effects of applied electric fields on the fibrillating heart;and (3) Develop design criteria for several specific classes of scenarios of interest, including pediatric ICD implantation and implantation in patients with residual broken leads.
| Burton, B M; Aras, K K; Good, W W et al. (2018) Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations. J Electrocardiol 51:725-733 |
| Tong, Xin; Edwards, John; Chen, Chun-Ming et al. (2016) View-Dependent Streamline Deformation and Exploration. IEEE Trans Vis Comput Graph 22:1788-801 |
| Burton, Brett M; Tate, Jess D; Good, Wilson et al. (2016) The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart. Comput Cardiol (2010) 43:209-212 |
| Erem, Burak; Martinez Orellana, Ramon; Hyde, Damon E et al. (2016) Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals. Phys Rev E 93:042218 |
| Raj, Mukund; Mirzargar, Mahsa; Preston, J Samuel et al. (2016) Evaluating Shape Alignment via Ensemble Visualization. IEEE Comput Graph Appl 36:60-71 |
| Gao, Yi; Zhu, Liangjia; Cates, Joshua et al. (2015) A Kalman Filtering Perspective for Multiatlas Segmentation. SIAM J Imaging Sci 8:1007-1029 |
| Gillette, Karli; Tate, Jess; Kindall, Brianna et al. (2015) Generation of Combined-Modality Tetrahedral Meshes. Comput Cardiol (2010) 2015:953-956 |
| Erem, B; Hyde, D E; Peters, J M et al. (2015) COMBINED DELAY AND GRAPH EMBEDDING OF EPILEPTIC DISCHARGES IN EEG REVEALS COMPLEX AND RECURRENT NONLINEAR DYNAMICS. Proc IEEE Int Symp Biomed Imaging 2015:347-350 |
| Coll-Font, J; Erem, B; Štóví?ek, P et al. (2015) A STATISTICAL APPROACH TO INCORPORATE MULTIPLE ECG OR EEG RECORDINGS WITH ARTIFACTUAL VARIABILITY INTO INVERSE SOLUTIONS. Proc IEEE Int Symp Biomed Imaging 2015:1053-1056 |
| Elhabian, Shireen; Gur, Yaniv; Vachet, Clement et al. (2014) Subject-Motion Correction in HARDI Acquisitions: Choices and Consequences. Front Neurol 5:240 |
Showing the most recent 10 out of 149 publications
