Literature DB >> 15933091

Nodule detection in digital chest radiography: summary of the RADIUS chest trial.

Markus Håkansson1, Magnus Båth, Sara Börjesson, Susanne Kheddache, Anna Grahn, Mark Ruschin, Anders Tingberg, Sören Mattsson, Lars Gunnar Månsson.   

Abstract

As a part of the Europe-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 aimed at thoroughly examining various aspects of nodule detection in digital chest radiography, such as the effects of nodule location, system noise, anatomical noise, and anatomical background. The main findings of the RADIUS chest trial concerning the detection of a lung nodule with a size in the order of 10 mm can be summarised as: (1) the detectability of the nodule is largely dependent on its location in the chest, (2) the system noise has a minor impact on the detectability at the dose levels used today, (3) the disturbance of the anatomical noise is larger than that of the system noise but smaller than that of the anatomical background and (4) the anatomical background acts as noise to a large extent and is the major image component affecting the detectability of the nodule.

Mesh:

Year:  2005        PMID: 15933091     DOI: 10.1093/rpd/nch574

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.  A technique for simulating the effect of dose reduction on image quality in digital chest radiography.

Authors:  Wouter J H Veldkamp; Lucia J M Kroft; Jan Pieter A van Delft; Jacob Geleijns
Journal:  J Digit Imaging       Date:  2008-02-08       Impact factor: 4.056

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.  The effect of anatomical noise on perception of low contrast in intra-oral radiographs: an in vitro study.

Authors:  Lars Olsson; Mats Nilsson; Björn Svenson; Kristina Hellén-Halme
Journal:  Dentomaxillofac Radiol       Date:  2016-02-19       Impact factor: 2.419

6.  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

7.  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

8.  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

  8 in total

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