Literature DB >> 12750460

Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study.

Mannudeep K Kalra1, Conrad Wittram, Michael M Maher, Amita Sharma, Gopal B Avinash, Kelly Karau, Thomas L Toth, Elkan Halpern, Sanjay Saini, Jo-Anne Shepard.   

Abstract

Effect of noise reduction filters on chest computed tomographic (CT) images acquired with 50% radiation dose reduction was evaluated. Two sets of images were acquired with multi-detector row CT at standard (220-280 mA) and 50% reduced (110-140 mA) tube current at the level of the carina. After postprocessing with six noise reduction filters, images were compared with baseline standard-dose images for noise, sharpness, and contrast in lungs, mediastinum, and chest wall. Quantitative image noise was measured in descending thoracic aorta. Modulation transfer functions were calculated from CT images of 50-microm wire. Noise reduction filters reduced image noise on low-radiation-dose chest CT images, with some compromise in image sharpness and contrast assessed qualitatively, and slightly altered modulation transfer function at higher spatial frequencies.

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Year:  2003        PMID: 12750460     DOI: 10.1148/radiol.2281020606

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  18 in total

Review 1.  Multislice CT: update on radiation and screening.

Authors:  Mannudeep K Kalra; Michael M Maher; Sanjay Saini
Journal:  Eur Radiol       Date:  2003-12       Impact factor: 5.315

2.  Deriving the modulation transfer function of CT from extremely noisy edge profiles.

Authors:  Issei Mori; Yoshio Machida
Journal:  Radiol Phys Technol       Date:  2008-10-07

Review 3.  Radiation dose-reduction strategies for neuroradiology CT protocols.

Authors:  A B Smith; W P Dillon; R Gould; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-24       Impact factor: 3.825

4.  Low-dose X-ray computed tomography image reconstruction with a combined low-mAs and sparse-view protocol.

Authors:  Yang Gao; Zhaoying Bian; Jing Huang; Yunwan Zhang; Shanzhou Niu; Qianjin Feng; Wufan Chen; Zhengrong Liang; Jianhua Ma
Journal:  Opt Express       Date:  2014-06-16       Impact factor: 3.894

5.  Dual-energy-CT of hypervascular liver lesions in patients with HCC: investigation of image quality and sensitivity.

Authors:  Jens Altenbernd; Till A Heusner; Adrian Ringelstein; Susanne C Ladd; Michael Forsting; Gerald Antoch
Journal:  Eur Radiol       Date:  2010-10-10       Impact factor: 5.315

6.  Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction.

Authors:  Yan Liu; Jianhua Ma; Yi Fan; Zhengrong Liang
Journal:  Phys Med Biol       Date:  2012-11-15       Impact factor: 3.609

7.  Correlation of patient weight and cross-sectional dimensions with subjective image quality at standard dose abdominal CT.

Authors:  Mannudeep K Kalra; Michael M Maher; Srinivasa R Prasad; M Sikandar Hayat; Michael A Blake; Jose Varghese; Elkan F Halpern; Sanjay Saini
Journal:  Korean J Radiol       Date:  2003 Oct-Dec       Impact factor: 3.500

8.  Low-mAs X-ray CT image reconstruction by adaptive-weighted TV-constrained penalized re-weighted least-squares.

Authors:  Yan Liu; Jianhua Ma; Hao Zhang; Jing Wang; Zhengrong Liang
Journal:  J Xray Sci Technol       Date:  2014       Impact factor: 1.535

9.  How reliable are the risk estimates for X-ray examinations in forensic age estimations? A safety update.

Authors:  F Ramsthaler; P Proschek; W Betz; M A Verhoff
Journal:  Int J Legal Med       Date:  2009-01-20       Impact factor: 2.686

Review 10.  Radiation exposure from chest CT: issues and strategies.

Authors:  Mannudeep K Kalra; Michael M Maher; Stefania Rizzo; David Kanarek; Jo-Anne O Shepard; Jo-Anne O Shephard
Journal:  J Korean Med Sci       Date:  2004-04       Impact factor: 2.153

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