Literature DB >> 22362136

Application of adaptive non-linear 2D and 3D postprocessing filters for reduced dose abdominal CT.

Lars Borgen1, Mannudeep K Kalra, Frode Laerum, Isabelle W Hachette, Carina H Fredriksson, Michael Sandborg, Orjan Smedby.   

Abstract

BACKGROUND: Abdominal computed tomography (CT) is a frequently performed imaging procedure, resulting in considerable radiation doses to the patient population. Postprocessing filters are one of several dose reduction measures that might help to reduce radiation doses without loss of image quality.
PURPOSE: To assess and compare the effect of two- and three-dimensional (2D, 3D) non-linear adaptive filters on reduced dose abdominal CT images.
MATERIAL AND METHODS: Two baseline abdominal CT image series with a volume computer tomography dose index (CTDI (vol)) of 12 mGy and 6 mGy were acquired for 12 patients. Reduced dose images were postprocessed with 2D and 3D filters. Six radiologists performed blinded randomized, side-by-side image quality assessments. Objective noise was measured. Data were analyzed using visual grading regression and mixed linear models.
RESULTS: All image quality criteria were rated as superior for 3D filtered images compared to reduced dose baseline and 2D filtered images (P < 0.01). Standard dose images had better image quality than reduced dose 3D filtered images (P < 0.01), but similar image noise. For patients with body mass index (BMI) < 30 kg/m(2) however, 3D filtered images were rated significantly better than normal dose images for two image criteria (P < 0.05), while no significant difference was found for the remaining three image criteria (P > 0.05). There were no significant variations of objective noise between standard dose and 2D or 3D filtered images.
CONCLUSION: The quality of 3D filtered reduced dose abdominal CT images is superior compared to reduced dose unfiltered and 2D filtered images. For patients with BMI < 30 kg/m(2), 3D filtered images are comparable to standard dose images.

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Year:  2012        PMID: 22362136     DOI: 10.1258/ar.2011.110563

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  6 in total

1.  Quantifying the potential for dose reduction with visual grading regression.

Authors:  O Smedby; M Fredrikson; J De Geer; L Borgen; M Sandborg
Journal:  Br J Radiol       Date:  2012-06-20       Impact factor: 3.039

2.  Observer performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterography.

Authors:  Joel G Fletcher; Amy K Hara; Jeff L Fidler; Alvin C Silva; John M Barlow; Rickey E Carter; Adam Bartley; Maria Shiung; David R Holmes; Nicolas K Weber; David H Bruining; Lifeng Yu; Cynthia H McCollough
Journal:  Abdom Imaging       Date:  2015-06

3.  Quantifying the potential for dose reduction with visual grading regression.

Authors:  O Smedby; M Fredrikson; J De Geer; L Borgen; M Sandborg
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

4.  Additive value of split-bolus single-phase CT scan protocol for preoperative assessment of lung cancer patients referred for video-assisted thoracic surgery.

Authors:  Ryo Watanabe; Yoshinori Funama; Takeshi Takaki; Seitaro Oda; Takeshi Nakaura; Seiichi Murakami; Takatoshi Aoki
Journal:  Radiol Phys Technol       Date:  2019-10-25

5.  Dual energy CT in patients with acute abdomen; is it possible for virtual non-enhanced images to replace true non-enhanced images?

Authors:  A Lan Im; Young Hwan Lee; Dong Ho Bang; Kwon Ha Yoon; Sang Hyun Park
Journal:  Emerg Radiol       Date:  2013-07-03

6.  Assessment of image quality in abdominal CT: potential dose reduction with model-based iterative reconstruction.

Authors:  Bharti Kataria; Jonas Nilsson Althén; Örjan Smedby; Anders Persson; Hannibal Sökjer; Michael Sandborg
Journal:  Eur Radiol       Date:  2018-01-24       Impact factor: 5.315

  6 in total

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