Literature DB >> 15933090

Nodule detection in digital chest radiography: effect of anatomical noise.

Magnus Båth1, Markus Håkansson, Sara Börjesson, Christoph Hoeschen, Oleg Tischenko, Susanne Kheddache, Jenny Vikgren, Lars Gunnar Månsson.   

Abstract

The image background resulting from imaged anatomy can be divided into those components that are meaningful to the observers, in the sense that they are recognised as separate structures, and those that are not. These latter components (reffered to as anatomical noise) can be removed using a method developed within the RADIUS group. The aim of the present study was to investigate whether the removal of the anatomical noise results in images where lung nodules with lower contrast can be detected. A receiver operating characteristic (ROC) study was therefore conducted using two types of images: clinical chest images and chest images in which the anatomical noise had been removed. Simulated designer nodules with a full-width-at-fifth-maximum of 10 mm but with varying contrast were added to the images. The contrast needed to obtain an area under the ROC curve of 0.80, C0.8, was used as a measure of detectability (a low value of C0.8 represents a high detectability). Five regions of the chest X ray were investigated and it was found that in all regions the removal of anatomical noise led to images with lower C0.8 than the original images. On average, C0.8 was 20% higher in the original images, ranging from 7% (the lateral pulmonary regions) to 41% (the upper mediastinal regions).

Mesh:

Year:  2005        PMID: 15933090     DOI: 10.1093/rpd/nch526

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 estimation of ultra-low-dose chest CT to different sized adult patients.

Authors:  Tony M Svahn; Tommy Sjöberg; Jennifer C Ast
Journal:  Eur Radiol       Date:  2018-12-17       Impact factor: 5.315

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

8.  Influence of adaptive statistical iterative reconstruction algorithm on image quality in coronary computed tomography angiography.

Authors:  Helle Precht; Jesper Thygesen; Oke Gerke; Kenneth Egstrup; Dag Waaler; Jess Lambrechtsen
Journal:  Acta Radiol Open       Date:  2016-12-01
  8 in total

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