Quantitative analysis of three dimentional (3D) blood flow direction and location will benefit and guide the surgical
thinning and dissection process. Toward this goal, this study was performed to reconstruct 3D vascular trees with the
incorporation of temporal information from contrast-agent propagation. A computational technique based on our
previous work to segment the 3D vascular tree structure from the CT scan volume image sets was proposed. This
technique utilizes the deformation method which is a moving grid methodology and which in tradition is used to improve
the computational accuracy and efficiency in solving differential equations. Compared with our previous work, we
extended the moving grid deformation method to 3D and incorporated 3D region growing method for an initial
segmentation. At last, a 3D divergence operator was applied to delineate vascular tree structures from the 3D grid
volume plot. Experimental results show the 3D nature of the vascular structure and four-dimensional (4D) vascular tree
evolving process. The proposed computational framework demonstrates its effectiveness and improvement in the
modeling of 3D vascular tree.
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.