Relative impact of detector noise and anatomical structure on lung nodule detection

Keelan, Brian; Töpfer, K.; Yorkston, J.; Sehnert, William J.; Ellinwood, Jacquelyn S.

doi:10.1117/12.536733

Cited by 16 publications

(8 citation statements)

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“…Many investigators [3][4][5][6][7][8][9][10][11][12] have shown that it is not the system (including quantum) noise that is the limiting factor in chest radiography, but rather the projected patient anatomy or "anatomical noise". It therefore follows that any images used to optimise a digital radiographic system for chest radiography must contain clinically realistic anatomical features and noise.…”

Section: Advances In Knowledgementioning

confidence: 99%

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

Moore¹,

Wood²,

Beavis³

et al. 2013

BJR

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Objective: The purpose of this study was to examine the correlation between the quality of visually graded patient (clinical) chest images and a quantitative assessment of chest phantom (physical) images acquired with a computed radiography (CR) imaging system. Methods:The results of a previously published study, in which four experienced image evaluators graded computer-simulated posteroanterior chest images using a visual grading analysis scoring (VGAS) scheme, were used for the clinical image quality measurement. Contrast-to-noise ratio (CNR) and effective dose efficiency (eDE) were used as physical image quality metrics measured in a uniform chest phantom. Although optimal values of these physical metrics for chest radiography were not derived in this work, their correlation with VGAS in images acquired without an antiscatter grid across the diagnostic range of X-ray tube voltages was determined using Pearson's correlation coefficient.Results: Clinical and physical image quality metrics increased with decreasing tube voltage. Statistically significant correlations between VGAS and CNR (R50.87, p,0.033) and eDE (R50.77, p,0.008) were observed. Conclusion:Medical physics experts may use the physical image quality metrics described here in quality assurance programmes and

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Section: Advances In Knowledgementioning

confidence: 99%

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

Moore¹,

Wood²,

Beavis³

et al. 2013

BJR

View full text Add to dashboard Cite

show abstract

“…Many investigators [3][4][5][6][7][8][9][10][11][12] have shown that projected patient anatomy is the limiting factor in chest radiography rather than system (including quantum) noise, and the term ''anatomical noise'' was derived from their work. It therefore follows that any images used to optimise a digital X-ray system for chest radiography must contain clinically realistic anatomical noise.…”

mentioning

confidence: 99%

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

Moore¹,

Avery²,

Balcam³

et al. 2012

BJR

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Objectives: The purpose of this study was to derive an optimum radiographic technique for computed radiography (CR) chest imaging using a digitally reconstructed radiograph computer simulator. The simulator is capable of producing CR chest radiographs of adults with various tube potentials, receptor doses and scatter rejection. Methods: Four experienced image evaluators graded images of average and obese adult patients at different potentials (average-sized, n550; obese, n520), receptor doses (n510) and scatter rejection techniques (average-sized, n520; obese, n520). The quality of the images was evaluated using visually graded analysis. The influence of rib contrast was also assessed. Results: For average-sized patients, image quality improved when tube potential was reduced compared with the reference (102 kVp). No scatter rejection was indicated. For obese patients, it has been shown that an antiscatter grid is indicated, and should be used in conjunction with as low a tube potential as possible (while allowing exposure times ,20 ms). It is also possible to reduce receptor air kerma by 50% without adversely influencing image quality. Rib contrast did not interfere at any tube potential. Conclusions: A virtual clinical trial has been performed with simulated chest CR images. Results indicate that low tube potentials (,102 kVp) are optimal for average and obese adults, the former acquired without scatter rejection, the latter with an antiscatter grid. Lower receptor (and therefore patient doses) than those used clinically are possible while maintaining adequate image quality.

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“…In parallel with this technical revolution, demands on the management of radiation for medical use were expressed, first by the recommendations issued by the ICRP in ICRP 73 (14) and then by the stricter legislation in the European Medical Exposure Directive (65) . Furthermore, research at the time showed the limited validity of basing optimisation on traditional signal-to-noise ratio measurements (52,56,(66)(67)(68)(69)(70)(71)(72)(73)(74) , which previously had been common. This combination of a new technical era, new recommendations and directives, and a paradigm shift in the view on image quality measurements, provided the motivation for the development of a conceptual optimisation strategy in a digital environment, presented in Paper I.…”

Section: A Conceptual Optimisation Strategy For Radiography In a Digimentioning

confidence: 99%

The Validity of Using Roc Software for Analysing Visual Grading Characteristics Data: An Investigation Based on the Novel Software VGC Analyzer

Hansson

Månsson

Båth

2016

Radiat Prot Dosimetry

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The purpose of the present work was to investigate the validity of using single-reader-adapted receiver operating characteristics (ROC) software for analysis of visual grading characteristics (VGC) data. VGC data from four published VGC studies on optimisation of X-ray examinations, previously analysed using ROCFIT, were reanalysed using a recently developed software dedicated to VGC analysis (VGC Analyzer), and the outcomes [the mean and 95 % confidence interval (CI) of the area under the VGC curve (AUCVGC) and the p-value] were compared. The studies included both paired and non-paired data and were reanalysed both for the fixed-reader and the random-reader situations. The results showed good agreement between the softwares for the mean AUCVGC For non-paired data, wider CIs were obtained with VGC Analyzer than previously reported, whereas for paired data, the previously reported CIs were similar or even broader. Similar observations were made for the p-values. The results indicate that the use of single-reader-adapted ROC software such as ROCFIT for analysing non-paired VGC data may lead to an increased risk of committing Type I errors, especially in the random-reader situation. On the other hand, the use of ROC software for analysis of paired VGC data may lead to an increased risk of committing Type II errors, especially in the fixed-reader situation.

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Relative impact of detector noise and anatomical structure on lung nodule detection

Cited by 16 publications

References 0 publications

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

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

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

The Validity of Using Roc Software for Analysing Visual Grading Characteristics Data: An Investigation Based on the Novel Software VGC Analyzer

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