Literature DB >> 12077573

Dual-energy digital subtraction chest radiography: technical considerations.

Gary J Whitman1, Loren T Niklason, Meenakshi Pandit, L Christine Oliver, Elisha H Atkins, Olga Kinnard, Andrea H Alexander, Michelle K Weiss, Kavitha Sunku, Eric S Schulze, Reginald E Greene.   

Abstract

In the evaluation of asbestos-related pulmonary and pleural abnormalities, conventional chest radiography has been shown to have a low sensitivity for the detection of lung nodules and subtle interstitial disease. Pleural plaques may simulate pulmonary nodules, and interstitial processes can be masked by adjacent pleural abnormalities. Dual-energy digital subtraction chest radiography may enable investigators to characterize asbestos-related pulmonary and pleural abnormalities with greater accuracy. "Soft-tissue" images, designed to remove pleural calcifications, may allow for better evaluation of the lung parenchyma. "Bone" images, designed to remove soft-tissue structures, may enhance the detection of pleural calcifications. In this pictorial essay we illustrate the methods, technical considerations, and limitations of dual-energy digital subtraction chest radiography performed with global subtraction weighting factors.

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Year:  2002        PMID: 12077573     DOI: 10.1067/mdr.2002.122856

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  5 in total

1.  Evaluation of a template-based algorithm for markerless lung tumour localization on single- and dual-energy kilovoltage images.

Authors:  Alec M Block; Rakesh Patel; Murat Surucu; Matthew M Harkenrider; John C Roeske
Journal:  Br J Radiol       Date:  2016-10-12       Impact factor: 3.039

2.  Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution.

Authors:  Amin Zarshenas; Junchi Liu; Paul Forti; Kenji Suzuki
Journal:  Med Phys       Date:  2019-03-28       Impact factor: 4.071

3.  CsI-detector-based dual-exposure dual energy in chest radiography for lung nodule detection: results of an international multicenter trial.

Authors:  Ricarda Rühl; Magdalena M Wozniak; Michael Werk; François Laurent; Georg Mager; Michel Montaudon; Andreas Pattermann; Antoine Scherrer; Jean-Pierre Tasu; Maciej Pech; Jens Ricke
Journal:  Eur Radiol       Date:  2008-04-19       Impact factor: 5.315

4.  Pixel-based machine learning in medical imaging.

Authors:  Kenji Suzuki
Journal:  Int J Biomed Imaging       Date:  2012-02-28

5.  Diagnostic accuracy and added value of dual-energy subtraction radiography compared to standard conventional radiography using computed tomography as standard of reference.

Authors:  Katharina Martini; Marco Baessler; Stephan Baumueller; Thomas Frauenfelder
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

  5 in total

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