Skip to main content
. Author manuscript; available in PMC: 2020 Sep 11.
Published in final edited form as: Cardiovasc Intervent Radiol. 2017 Aug 2;41(1):104–111. doi: 10.1007/s00270-017-1758-2

Figure 1: Tumor feeding vessels detection software workflow (FlightPlan for Liver, GE Healthcare).

Figure 1:

(A) Step 1 – Using the CBCT axial dataset, vessels are automatically segmented out from the bones. The cursor is positioned proximally on the tip of the catheter (arrow) in the hepatic arterial system to commence automatic vessel extraction.

(B) Step 2 - Embolization target definition: A spherical region of interest is positioned over the hypervascular tumor region using 2D cross sectional images (arrowheads: Region of interest).

(C) Step 3 - Isolation of relevant arterial vascular supply: Vessels are automatically detected and arteries supplying the designated hypervascular region of interest are highlighted in color.

(D) Step 4 - TFVDS export for live 3D roadmapping display: Extracted arterial vasculature is transferred to 3D roadmapping software to enable superimposition of the embolization plan on live fluoroscopy imaging.