2D display of a 3D tree for pulmonary embolism detection
| Autor: | David P. Naidich, Atilla Peter Kiraly, Carol L. Novak |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Engineering
medicine.diagnostic_test business.industry Computed tomography General Medicine medicine.disease Pulmonary embolism Visualization Tree (data structure) Tree structure medicine Computer vision Artificial intelligence Panning (camera) business Computed tomography angiography TRACE (psycholinguistics) |
| Zdroj: | International Congress Series. 1281:1132-1136 |
| ISSN: | 0531-5131 |
| DOI: | 10.1016/j.ics.2005.03.348 |
| Popis: | The detection of pulmonary emboli (PE) is of critical importance in determining further treatment. PE visualization and detection methods applied to contrast-enhanced computed tomography (CT) images have been shown to facilitate diagnosis. Unfortunately, to date, these methods have imposed significant requirements for 3D navigation and manual vessel tracking. Consequently, we propose a novel method to minimize these requirements by visualizing the entire 3D tree structure within a single, though potentially very large, 2D image. The only navigation that is required is panning through a 2D image, similar to the way that a book is read: from left to right and top to bottom. Vessels are presented in a hierarchical order making them easy to trace, providing a straightforward systematic view of all portions of the vessel tree, without the necessity of viewing areas multiple times or potentially overlooking subtle abnormalities. We present preliminary results using this method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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