Literature DB >> 15933086

Nodule detection in digital chest radiography: introduction to the RADIUS chest trial.

Magnus Båth1, Markus Håkansson, Sara Börjesson, Susanne Kheddache, Anna Grahn, Mark Ruschin, Anders Tingberg, Sören Mattsson, Lars Gunnar Månsson.   

Abstract

Most digital radiographic systems of today have wide latitude and are hence able to provide images with a small constraint on dose level. This opens up for an unprejudiced dose optimisation. However, in order to succeed in the optimisation task, good knowledge of the imaging and detection processes is needed. As a part of the European-wide research project 'unification of physical and clinical requirements for medical X-ray imaging'-governed by the Radiological Imaging Unification Strategies (RADIUS) Group-a major image quality trial was conducted by members of the group. The RADIUS chest trial was focused on the detection of lung nodules in digital chest radiography with the aims of determining to what extent (1) the detection of a nodule is dependent on its location, (2) the system noise disturbs the detection of lung nodules, (3) the anatomical noise disturbs the detection of lung nodules and (4) the image background and anatomical background act as pure noise for the detection of lung nodules. The purpose of the present paper is to give an introduction to the trial and describe the framework and set-up of the investigation.

Mesh:

Year:  2005        PMID: 15933086     DOI: 10.1093/rpd/nch575

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  8 in total

1.  A method to produce and validate a digitally reconstructed radiograph-based computer simulation for optimisation of chest radiographs acquired with a computed radiography imaging system.

Authors:  C S Moore; G P Liney; A W Beavis; J R Saunderson
Journal:  Br J Radiol       Date:  2011-10       Impact factor: 3.039

2.  Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.

Authors:  Mark Ruschin; Pontus Timberg; Magnus Båth; Bengt Hemdal; Tony Svahn; Rob S Saunders; Ehsan Samei; Ingvar Andersson; Soren Mattsson; Dev P Chakrabort; Anders Tingber
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

3.  Correlation of the clinical and physical image quality in chest radiography for average adults with a computed radiography imaging system.

Authors:  C S Moore; T J Wood; A W Beavis; J R Saunderson
Journal:  Br J Radiol       Date:  2013-04-08       Impact factor: 3.039

4.  Effect of radiation dose level on the detectability of pulmonary nodules in chest tomosynthesis.

Authors:  Sara A Asplund; Åse A Johnsson; Jenny Vikgren; Angelica Svalkvist; Agneta Flinck; Marianne Boijsen; Valeria A Fisichella; Lars Gunnar Månsson; Magnus Båth
Journal:  Eur Radiol       Date:  2014-05-04       Impact factor: 5.315

5.  Use of a digitally reconstructed radiograph-based computer simulation for the optimisation of chest radiographic techniques for computed radiography imaging systems.

Authors:  C S Moore; G Avery; S Balcam; L Needler; A Swift; A W Beavis; J R Saunderson
Journal:  Br J Radiol       Date:  2012-01-17       Impact factor: 3.039

6.  Investigating the use of an antiscatter grid in chest radiography for average adults with a computed radiography imaging system.

Authors:  C S Moore; T J Wood; G Avery; S Balcam; L Needler; A Smith; J R Saunderson; A W Beavis
Journal:  Br J Radiol       Date:  2015-01-09       Impact factor: 3.039

7.  Use of a computer simulator to investigate optimized tube voltage for chest imaging of average patients with a digital radiography (DR) imaging system.

Authors:  Craig Steven Moore; Tim Wood; Ged Avery; Steve Balcam; Liam Needler; Hiten Joshi; Najeeb Ahmed; John Saunderson; Andrew Beavis
Journal:  Br J Radiol       Date:  2019-10-07       Impact factor: 3.039

Review 8.  Radiation dose reduction considerations and imaging patterns of ground glass opacities in coronavirus: risk of over exposure in computed tomography.

Authors:  Mohammad Ahmmad Rawashdeh; Charbel Saade
Journal:  Radiol Med       Date:  2020-09-08       Impact factor: 6.313

  8 in total

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