Abstract
The use of contrast media in PET/CT imaging has been suggested to cause PET artifacts during the CT-based attenuation correction process. In this paper, we evaluate three algorithms that segment intravenous (IV) contrast-enhanced tissue from chest CT images to minimize possible artifacts. The algorithms that were evaluated are template matching, 3D region growing, and snake-based technique. These methods were tested using 5 patient studies. The segmentation result of each method was compared to its corresponding manually segmented images on a voxel-wise basis, and a squared difference between the two segmentation results was calculated. The averaged squared differences of all 5 patients for the template matching, region growing, and snake-based method were 19.0% ±7.1%, 65.2% ±51.5%, and 13.5% ±6.5% respectively. We concluded that the snake model is most suitable for efficiently segmenting the contrast-enhanced CT images among the three methods.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2686-2689 |
| Number of pages | 4 |
| Journal | IEEE Nuclear Science Symposium Conference Record |
| Volume | 5 |
| State | Published - 2004 |
| Event | 2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors - Rome, Italy Duration: Oct 16 2004 → Oct 22 2004 |
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging