Literature DB >> 26236781

Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography.

Rie Tachibana, Janne J Näppi, Hiroyuki Yoshida.   

Abstract

In CT colonography, orally administered positive-contrast fecal-tagging agents are used for differentiating residual fluid and feces from true lesions. However, the presence of high-density tagging agent in the colon can introduce erroneous artifacts, such as local pseudo-enhancement and beam-hardening, on the reconstructed CT images, thereby complicating reliable detection of soft-tissue lesions. In dual-energy CT colonography, such image artifacts can be reduced by the calculation of virtual monochromatic CT images, which provide more accurate quantitative attenuation measurements than conventional single-energy CT colonography. In practice, however, virtual monochromatic images may still contain some pseudo-enhancement artifacts, and efforts to minimize radiation dose may enhance such artifacts. In this study, we evaluated the effect of image-based pseudo-enhancement post-correction on virtual monochromatic images in standard-dose and low-dose dual-energy CT colonography. The mean CT values of the virtual monochromatic standard-dose CT images of 51 polyps and those of the virtual monochromatic low-dose CT images of 20 polyps were measured without and with the pseudo-enhancement correction. Statistically significant differences were observed between uncorrected and pseudo-enhancement-corrected images of polyps covered by fecal tagging in standard-dose CT (p < 0.001) and in low-dose CT (p < 0.05). The results indicate that image-based pseudo-enhancement post-correction can be useful for optimizing the performance of image-processing applications in virtual monochromatic CT colonography.

Entities:  

Keywords:  CT colonography; Dual-energy CT; Pseudo-enhancement correction; Virtual monochromatic imaging

Year:  2014        PMID: 26236781      PMCID: PMC4521398          DOI: 10.1007/978-3-319-13692-9_16

Source DB:  PubMed          Journal:  Abdom Imaging (2014)


  11 in total

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Review 2.  Computed tomography--an increasing source of radiation exposure.

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Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

3.  Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography.

Authors:  Janne Näppi; Hiroyuki Yoshida
Journal:  Med Image Anal       Date:  2008-01-26       Impact factor: 8.545

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5.  Radiation dose reduction with Sinogram Affirmed Iterative Reconstruction technique for abdominal computed tomography.

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Review 6.  Dual-energy CT-based monochromatic imaging.

Authors:  Lifeng Yu; Shuai Leng; Cynthia H McCollough
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7.  Dual-energy index value of luminal air in fecal-tagging computed tomography colonography: findings and impact on electronic cleansing.

Authors:  Wenli Cai; Da Zhang; June-Goo Lee; Yu Shirai; Se Hyung Kim; Hiroyuki Yoshida
Journal:  J Comput Assist Tomogr       Date:  2013 Mar-Apr       Impact factor: 1.826

Review 8.  Evaluation of colonic lesions and pitfalls in CT colonography: a systematic approach based on morphology, attenuation and mobility.

Authors:  Thomas Mang; Stefaan Gryspeerdt; Wolfgang Schima; Philippe Lefere
Journal:  Eur J Radiol       Date:  2012-07-19       Impact factor: 3.528

Review 9.  Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology.

Authors:  Bernard Levin; David A Lieberman; Beth McFarland; Kimberly S Andrews; Durado Brooks; John Bond; Chiranjeev Dash; Francis M Giardiello; Seth Glick; David Johnson; C Daniel Johnson; Theodore R Levin; Perry J Pickhardt; Douglas K Rex; Robert A Smith; Alan Thorson; Sidney J Winawer
Journal:  Gastroenterology       Date:  2008-02-08       Impact factor: 22.682

10.  Integration of 3D scale-based pseudo-enhancement correction and partial volume image segmentation for improving electronic colon cleansing in CT colonograpy.

Authors:  Hao Zhang; Lihong Li; Hongbin Zhu; Hao Han; Bowen Song; Zhengrong Liang
Journal:  J Xray Sci Technol       Date:  2014       Impact factor: 1.535

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  1 in total

Review 1.  Progress in Fully Automated Abdominal CT Interpretation.

Authors:  Ronald M Summers
Journal:  AJR Am J Roentgenol       Date:  2016-04-21       Impact factor: 3.959

  1 in total

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