Literature DB >> 15933088

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

Markus Håkansson1, Magnus Båth, Sara Börjesson, Susanne Kheddache, Ase Allansdotter Johnsson, Lars Gunnar Månsson.   

Abstract

Apart from the image content that is the reproduction of anatomy and possible lesions, an X-ray image also contains system noise due to the limited number of photons and other internal noise sources in the system (image plate artefacts, electronic noise, etc.). The aim of this study was to determine the extent to which the system noise influences the detection of subtle lung nodules in five different regions of the chest. This was done by conducting a receiver operating characteristic (ROC) study with five observers on two different sets of images; clinical chest X-ray images and images of a LucAl phantom at similar dose levels found in the different regions of the chest. In both image types, mathematically simulated nodules (with a full-width-at-fifth-maximum of 10 mm) were added to the images at varying contrast levels. As a measure of the influence of system noise on the detection of subtle lung nodules, the ratio between the contrast needed to obtain an area under the ROC curve of 0.80 in the system noise images to that needed in the clinical images was used. The contrast ratio between system noise images and clinical images ranged from approximately 0.02 (in the hilar region) to 0.18 (in the lower mediastinal region). The maximum difference in contrast needed for the corresponding system noise images, collected at the lowest and the highest dose represented in the anatomical image, was a factor of 2. These results indicate that probably no region in a chest X-ray image is limited by the number of quanta to the detector for the detection of 10 mm lung nodules when a radiation dose corresponding to a system with speed class 200 (leading to a detector dose of approximately 9 muGy behind the parenchyma) is used.

Mesh:

Year:  2005        PMID: 15933088     DOI: 10.1093/rpd/nch525

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


  10 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.  A phantom study for ground-glass nodule detectability using chest digital tomosynthesis with iterative reconstruction algorithm by ten observers: association with radiation dose and nodular characteristics.

Authors:  Katsunori Miyata; Yukihiro Nagatani; Mitsuru Ikeda; Masashi Takahashi; Norihisa Nitta; Satoru Matsuo; Shinichi Ohta; Hideji Otani; Ayumi Nitta-Seko; Yoko Murakami; Keiko Tsuchiya; Akitoshi Inoue; Sayaka Misaki; Khishigdorj Erdenee; Tetsuo Kida; Kiyoshi Murata
Journal:  Br J Radiol       Date:  2017-02-17       Impact factor: 3.039

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.  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

9.  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

10.  Task-Based Model Observer Assessment of A Partial Model-Based Iterative Reconstruction Algorithm in Thoracic Oncologic Multidetector CT.

Authors:  David C Rotzinger; Damien Racine; Catherine Beigelman-Aubry; Khalid M Alfudhili; Nathalie Keller; Pascal Monnin; Francis R Verdun; Fabio Becce
Journal:  Sci Rep       Date:  2018-12-07       Impact factor: 4.379

  10 in total

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