Literature DB >> 18520565

Digital tomosynthesis of the chest.

James T Dobbins1, H Page McAdams, Devon J Godfrey, Christina M Li.   

Abstract

Digital tomosynthesis is a technique that generates an arbitrary number of section images of a patient from a single pass of the x-ray tube. It is under investigation for application to a number of clinical detection tasks, and has recently been implemented in commercial devices for chest radiography. Tomosynthesis provides improved visibility of structures in the chest, such as pulmonary nodules, airways, and spine. This review article outlines the components of a typical tomosynthesis system, and presents examples of improved pulmonary nodule detection from a clinical trial in human subjects. Possible implementation strategies for use in chest imaging are discussed.

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Year:  2008        PMID: 18520565     DOI: 10.1097/RTI.0b013e318173e162

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  22 in total

1.  Anatomical background and generalized detectability in tomosynthesis and cone-beam CT.

Authors:  G J Gang; D J Tward; J Lee; J H Siewerdsen
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

2.  A dual-view digital tomosynthesis imaging technique for improved chest imaging.

Authors:  Yuncheng Zhong; Chao-Jen Lai; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

3.  Analysis of the impact of digital tomosynthesis on the radiological investigation of patients with suspected pulmonary lesions on chest radiography.

Authors:  Emilio Quaia; Elisa Baratella; Stefano Cernic; Arianna Lorusso; Federica Casagrande; Vincenzo Cioffi; Maria Assunta Cova
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

4.  Stationary intraoral digital tomosynthesis using a carbon nanotube X-ray source array.

Authors:  J Shan; A W Tucker; L R Gaalaas; G Wu; E Platin; A Mol; J Lu; O Zhou
Journal:  Dentomaxillofac Radiol       Date:  2015-06-19       Impact factor: 2.419

5.  Evaluation of a new system for chest tomosynthesis: aspects of image quality of different protocols determined using an anthropomorphic phantom.

Authors:  M Jadidi; A Sundin; P Aspelin; M Båth; S Nyrén
Journal:  Br J Radiol       Date:  2015-06-29       Impact factor: 3.039

6.  Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Authors:  Donghoon Lee; Hee-Joung Kim
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

7.  Tomosynthesis for the early detection of pulmonary emphysema: diagnostic performance compared with chest radiography, using multidetector computed tomography as reference.

Authors:  Yoshitake Yamada; Masahiro Jinzaki; Masahiro Hashimoto; Eisuke Shiomi; Takayuki Abe; Sachio Kuribayashi; Kenji Ogawa
Journal:  Eur Radiol       Date:  2013-03-21       Impact factor: 5.315

8.  The effect of averaging adjacent planes for artifact reduction in matrix inversion tomosynthesis.

Authors:  Devon J Godfrey; H Page McAdams; James T Dobbins
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

9.  Comparison of chest radiography, chest digital tomosynthesis and low dose MDCT to detect small ground-glass opacity nodules: an anthropomorphic chest phantom study.

Authors:  Kyung Won Doo; Eun-Young Kang; Hwan Seok Yong; Soo-Youn Ham; Ki Yeol Lee; Ji Yung Choo
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

10.  Chest tomosynthesis: technical principles and clinical update.

Authors:  James T Dobbins; H Page McAdams
Journal:  Eur J Radiol       Date:  2009-07-18       Impact factor: 3.528

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