This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.Placement of Implantable Cardiac Defibrillators (ICDs) is a unique and challenging problem for children due to the variety of shapes and sizes, ranging from neonate to adolescent. As a result, a variety of novel implant techniques have been employed. Although these have generally been successful in as much as they result in a clinically acceptable defibrillation threshold, nothing is known about the mechanisms by which this threshold is attained, the optimal geometries for defibrillation, and whether unsafe electric field strengths are a result of novel implant approaches. Finite element modeling has been shown in adult torso models to correlate well with clinical results. The goal of this collaboration is to model defibrillation in child torso models to gain insight into this important problem. Dr. John Triedman at the Department of Cardiology, Children's Hospital Boston is the collaborative investigator of this project. He is being assisted by Dr. Matthew Jolley.There are three main goals of this project:(1) Create 3D models of children based on CT and MRI data sets for modeling internal and external defibrillation in the SCIRun environment. The processes required address the larger question of how to take any CT or MRI data set, segment it into various tissue regions, then import and utilize resulting information in the SCIRun/BioPSE environment. This represents part of an expanding collaboration between SCI (www.sci.utah.edu/) and SPL (http://splweb.bwh.harvard.edu:8000/) to integrate open source tools to allow creation, visualization, and computational modeling of image based 3D models.
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