Abstract | ||
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Although Pulmonary Embolism (PE) is one of the most common causes of unexpected death in the U.S., it may also be one of the most preventable. Images acquired from 16-slice Computed Tomography (CT) machines of contrast-injected patients provide sufficient resolution for the localization and analysis of emboli located in segmental and sub-segmental arteries. After a PE is found, it is difficult to assess the local characteristics of the affected arterial tree without automation. We propose a method to compute characteristics of the local arterial tree given the location of a PE. The computed information localizes the portion of the arterial tree that is affected by the embolism. Our method is based on the segmentation of the arteries and veins followed by a localized tree computation at the given site. The method determines bifurcation points and the remaining arterial tree. A preliminary segmentation method is also demonstrated to locally eliminate over-segmentation of the arterial tree. The final result can then be used assess the affected lung volume and arterial supply. Initial tests revealed a good ability to compute local tree characteristics of selected sites. |
Year | DOI | Venue |
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2004 | 10.1117/12.535993 | Proceedings of SPIE |
Keywords | Field | DocType |
pulmonary embolism (PE),computed tomography (CT),tree analysis,center-line computation | Pulmonary embolism,Lung,Segmentation,Lung volumes,Computed tomography,Radiology,Embolism,Medicine,Arterial tree | Conference |
Volume | ISSN | Citations |
5370 | 0277-786X | 3 |
PageRank | References | Authors |
0.50 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
atilla peter kiraly | 1 | 47 | 9.16 |
Eric Pichon | 2 | 106 | 9.06 |
David P. Naidich | 3 | 98 | 12.61 |
Carol L. Novak | 4 | 146 | 23.88 |