KEYWORDS: Process modeling, 3D modeling, Heart, Silicon, Pathology, Image segmentation, Data modeling, Ultrasonography, Surgery, Visual process modeling
Physical replicas of patient specific heart valve pathologies may improve clinicians’ ability to plan the optimal treatment for patients with complex valvular heart disease. Our previous work has demonstrated the ability to replicate patient pathology of the adult mitral valve (MV) in a dynamic environment [13]. Infant congenital heart defects present possibly the most challenging form of valvular disease, given the range of pathologies, the relative size of these valves compared to adult anatomy, and the rarity of congenital heart disease. Patient specific valve models could be particularly valuable for pediatric cardiologists and surgeons, as a means to both plan for and practice interventions. Our current goal is to assess our ability to apply our workflow to the more challenging case of the tricuspid valve (TV) presented in cases of hypoplastic left heart syndrome (HLHS). We explore the feasibility of adapting our previous workflow for creating dynamic silicone MV models for pre-surgical planning and simulation training, to developing 3D echocardiogram derived, patient specific TV models for use in a physical heart simulator. These models are intended for characterization of the TV, and exploration of the relationship between specific anatomical features and tricuspid regurgitation (TR) severity. The simulations may be relevant to pre-surgical planning of repair of the particularly complex and unique anatomical pathologies presented in children with HLHS.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.