Literature DB >> 15933089

Nodule detection in digital chest radiography: part of image background acting as pure noise.

Magnus Båth1, Markus Håkansson, Sara Börjesson, Susanne Kheddache, Anna Grahn, François O Bochud, Francis R Verdun, Lars Gunnar Månsson.   

Abstract

There are several factors that influence the radiologist's ability to detect a specific structure/lesion in a radiograph. Three factors that are commonly known to be of major importance are the signal itself, the system noise and the projected anatomy. The aim of this study was to determine to what extent the image background acts as pure noise for the detection of subtle lung nodules in five different regions of the chest. A receiver operating characteristic (ROC) study with five observers was conducted on two different sets of images, clinical chest X-ray images and images with a similar power spectrum as the clinical images but with a random phase spectrum, resulting in an image background containing pure noise. Simulated designer nodules with a full-width-at-fifth-maximum of 10 mm but with varying contrasts were added to the images. As a measure of the part of the image background that acts as pure noise, the ratio between the contrast needed to obtain an area under the ROC curve of 0.80 in the clinical images to that in the random-phase images was used. The ratio ranged from 0.40 (in the lateral pulmonary regions) to 0.83 (in the hilar regions) indicating that there was a large difference between different regions regarding to what extent the image background acted as pure noise; and that in the hilar regions the image background almost completely acted as pure noise for the detection of 10 mm nodules.

Mesh:

Year:  2005        PMID: 15933089     DOI: 10.1093/rpd/nch523

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.  An investigation into the validity of utilising the CDRAD 2.0 phantom for optimisation studies in digital radiography.

Authors:  Sadeq Al-Murshedi; Peter Hogg; Andrew England
Journal:  Br J Radiol       Date:  2018-07-05       Impact factor: 3.039

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.  Paediatric CT: the effects of increasing image noise on pulmonary nodule detection.

Authors:  Shonit Punwani; Jie Zhang; Warren Davies; Rebecca Greenhalgh; Paul Humphries
Journal:  Pediatr Radiol       Date:  2007-12-08

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.