A method for lung nodule visualization from multi-slice CT data
| Autor: | Thomas Bülow, Steffen Renisch, Cristian Lorenz, Rafael Wiemker, Thomas Blaffert |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
medicine.medical_specialty
Lung business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Nodule (medicine) CAD General Medicine Visualization Multi slice ct Tree (data structure) ComputingMethodologies_PATTERNRECOGNITION Visual detection medicine.anatomical_structure Maximum intensity projection medicine Radiology medicine.symptom business |
| Zdroj: | International Congress Series. 1281:1127-1131 |
| ISSN: | 0531-5131 |
| Popis: | Visual detection of lung nodules in multi-slice computed tomography (MSCT) datasets is a tedious, time-consuming and error-prone procedure. For this reason, various computer assisted detection (CAD) systems for the automated detection of lung nodules have been presented in the literature. In this paper, we propose a complementary method helping in the visual detection of nodules. We suggest to segment the lung and the pulmonary vessel tree from the dataset. A maximum intensity projection (MIP) of the lung without the pulmonary vessel tree shows the nodules clearly. Rotating the MIP gives a visual impression of the density, size, shape and spatial position of the nodules. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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