Flattening the abdominal aortic tree for effective visualization.

Joong Ho Won; Geoffrey D. Rubin; Sandy Napel

doi:10.1109/iembs.2006.4398164

Flattening the abdominal aortic tree for effective visualization.

Joong Ho Won
, Geoffrey D. Rubin
, Sandy Napel

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Pages (from-to)	3345-3348
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
DOIs	https://doi.org/10.1109/iembs.2006.4398164
State	Published - 2006
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/iembs.2006.4398164

Cite this

Flattening the abdominal aortic tree for effective visualization. / Won, Joong Ho; Rubin, Geoffrey D.; Napel, Sandy.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2006, p. 3345-3348.

Research output: Contribution to journal › Article › peer-review

@article{545e3e3fe0b84a528be65420f5498efe,

title = "Flattening the abdominal aortic tree for effective visualization.",

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.",

author = "Won, \{Joong Ho\} and Rubin, \{Geoffrey D.\} and Sandy Napel",

year = "2006",

doi = "10.1109/iembs.2006.4398164",

language = "English (US)",

pages = "3345--3348",

journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",

issn = "1557-170X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Flattening the abdominal aortic tree for effective visualization.

AU - Won, Joong Ho

AU - Rubin, Geoffrey D.

AU - Napel, Sandy

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84903803665

UR - https://www.scopus.com/pages/publications/84903803665#tab=citedBy

U2 - 10.1109/iembs.2006.4398164

DO - 10.1109/iembs.2006.4398164

M3 - Article

C2 - 17946176

AN - SCOPUS:84903803665

SN - 1557-170X

SP - 3345

EP - 3348

JO - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

ER -

Flattening the abdominal aortic tree for effective visualization.

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this