1. Image quality improvement in submillisievert computed tomographic colonography using a fast 3-dimensional noise reduction method.
- Author
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Gryspeerdt SS, Salazar P, and Lefere P
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Signal-To-Noise Ratio, Algorithms, Artifacts, Colonography, Computed Tomographic methods, Colorectal Neoplasms diagnostic imaging, Imaging, Three-Dimensional methods, Radiographic Image Enhancement methods, Radiographic Image Interpretation, Computer-Assisted methods
- Abstract
Objective: The objective of this study was to evaluate the image quality in submillisievert computed tomographic colonography (CTC) images using a structure preserving diffusion denoising method., Methods: Image quality was compared before and after denoising in 31 patients. One hundred twenty-kilovolt, 30-mAs prone CTC scans were used as reference and compared with submillisievert 140-kV, 10-mAs supine scans. Two readers assessed 2-dimensional and endoluminal image quality. The image noise and the signal-to-noise ratio were measured., Results: After denoising, image quality scores improved in both supine series and prone series (P < 0.0001), with the submillisievert denoised images being equal to or better than the native prone reference images. In both the supine images and the prone images, the noise was reduced by a factor of 2 and the signal-to-noise ratio was significantly higher (P < 0.001). The signal-to-noise ratio in the denoised submillisievert images was higher than those in the native prone images (P < 0.001)., Conclusions: The structure preserving diffusion denoising method preserves the image quality in submillisievert CTC images compared with the native 30-mAs reference images.
- Published
- 2014
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