Image quality improvement in submillisievert computed tomographic colonography using a fast 3-dimensional noise reduction method.

J Comput Assist Tomogr

From the *Virtual Colonoscopy Teaching Centre, Hooglede; †Department of Radiology, Stedelijk Ziekenhuis Roeselare, Roeselare, Belgium; ‡Vital Images, Inc, Minnetonka, MN.

Published: November 2014

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.

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http://dx.doi.org/10.1097/RCT.0000000000000092DOI Listing

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