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This paper introduces SlicerHeart Viewer, an open-source web-based module designed to disseminate patient-specific 3D models for congenital heart disease (CHD) surgical planning. By abstracting a full 3D Slicer/SlicerHeart session running on a server, it enables clinicians to interactively explore volume rendering and time-resolved data via a web browser, overcoming limitations of desktop installations and closed commercial viewers. The Viewer has been successfully deployed at a pediatric center, facilitating access to over 80 CHD cases across multiple specialties with rapid load times.
Clinicians can now access complex, time-resolved 3D cardiac models for surgical planning directly from their web browser, bypassing installation hurdles and proprietary limitations.
Patient-specific 3-dimensional (3D) models are increasingly central to planning surgery and catheter-based intervention in children with congenital heart disease (CHD), whose anatomy is often atypical and variable. These models inform care only when the surgeons and interventional cardiologists who make treatment decisions can rotate, crop, and measure them directly. Desktop modeling applications require local installation, capable hardware, and training. Commercial web-based viewers are portable but closed, and, in our experience, cannot display volume rendering, time-resolved (e.g., 4-dimensional) data, or the custom workflows centers build for CHD. Because CHD populations are small and heterogeneous, such workflows are unlikely to be prioritized commercially, and end users have no means to add them. To address these limitations, we developed the SlicerHeart Viewer, an open-source module that presents a simplified interface to a complete 3D Slicer/SlicerHeart session running on a server. Clinicians access models created by clinical modeling services from any device through a web browser. Because 3D Slicer runs underneath, volume rendering, time-resolved data, and any SlicerHeart workflow, including those developed for CHD, are available without modification. The module is independent of the hosting environment; we chose internal servers behind institutional single sign-on, and a cloud-hosted option is in development. Over one year at a single pediatric center, nearly all of 82 modeled cases were shared through the Viewer with clinicians from five specialties, with cases loading in 5 to 10 seconds. The approach is not specific to CHD and is deployable at other centers.