Flattening the Abdominal Aortic Tree for Effective Visualization

Author

Won, Joong Ho ; Rubin, Geoffrey D. ; Napel, Sandy

Author_Institution

Dept. of Electr. Eng., Stanford Univ., CA

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

3345

Lastpage

3348

Abstract

We developed a novel visualization method for providing an uncluttered view of the abdominal aorta and its branches. The method abstracts the complex geometry of vessels using a convex primitive, and uses a sweep line algorithm to find a suboptimal placement of the primitive. The method was evaluated using 10 CT angiography datasets and resulted in a clear visualization with all cluttering intersections removed. The method can be used to convey clinical findings, including lumen patency and lesion locations, in a single two-dimensional image

Keywords

blood vessels; computational geometry; computerised tomography; data visualisation; diagnostic radiography; medical image processing; CT angiography datasets; abdominal aortic tree; convex primitive; lesion locations; lumen patency; suboptimal placement; sweep line algorithm; two-dimensional image; uncluttered view; vessel geometry; visualization method; Abdomen; Anatomy; Angiography; Binary trees; Cities and towns; Computed tomography; Data structures; Two dimensional displays; USA Councils; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259584

Filename

4462514