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Abstract #0235

VesselVoyager: An Interactive 3D Intracranial Vessel Tracing Software

Kaiyu Zhang1, Ted Guan2, Xin Wang3, William Kerwin4, Yin Guo1, Gador Canton4, Thomas Hatsukami5, Niranjan Balu4, Mahmud Mossa-Basha4, and Chun Yuan4,6
1Department of Bioengineering, University of Washington, Seattle, WA, United States, 2International School, Bellevue, Bellevue, WA, United States, 3Electrical and Computer Engineering, University of Washington, Seattle, WA, United States, 4Department of Radiology, University of Washington, Seattle, WA, United States, 5Department of Surgery, University of Washington, Seattle, WA, United States, 6Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States

Synopsis

Keywords: Software Tools, Software Tools, Vessel

Motivation: Aiming to unravel the complexities of intracranial arterial structures, we recognized the need for advanced 3D annotation capabilities to improve upon conventional 2D methodologies.

Goal(s): Our goal was to develop VesselVoyager, a tool that facilitates detailed 3D mapping and analysis of cerebral vasculature, filling a critical gap in neurovascular diagnostic technology.

Approach: We utilized real-time 3D rendering and a 3D virtual camera system in VesselVoyager, enabling precise, interactive annotation and analysis within a user-friendly, gamified environment.

Results: VesselVoyager not only improved accuracy but also created new approaches for analyzing understudied diseases, enhancing our understanding of complex neurovascular conditions.

Impact: VesselVoyager enhances centerline tracing precision and triples processing efficiency, thus lightening the workload for clinicians and researchers. This advancement broadens its applicability to intricate vascular pathologies, including moyamoya disease.

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Keywords