Evaluation of Dose Reduction Potentials of a Novel Scatter Correction Software for Bedside Chest X-Ray Imaging

Renger, Bernhard; Brieskorn, Carina; Tóth, Vivien; Mentrup, Detlef; Jockel, Sascha; Lohöfer, Fabian; Schwarz, Martin K.; Rummeny, Ernst J.; Noël, Peter B.

doi:10.1093/rpd/ncw031

Cited by 28 publications

(47 citation statements)

References 7 publications

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“…With the introduction of digital imaging, an alternate approach has been developed to compensate for image degradation through digital image processing. Recently, several vendors have developed new software that estimates the scattered radiation and provides scatter correction without the usage of grids ( 4 5 7 16 ). The technology saved 15 seconds to 34 seconds per examination on average compared with grid-based workflow ( 5 17 ), resulting in workflow improvement by 28% ( 17 ).…”

Section: Discussionmentioning

confidence: 99%

“…Eventual damage requires grid installation and replacement, and related costs. To overcome these limitations, researchers developed software that provides scatter correction without the physical use of a grid ( 4 5 6 7 ). The technology enables estimation of the scatter signal and calculation of the grid effect.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequently, the de-scattered raw image is processed by the post-processing software of the digital radiography system. Although the value of scatter correction in terms of physical properties using a phantom has been reported ( 6 7 ), no test of observer preference has been performed to facilitate clinical application of this software.…”

Section: Introductionmentioning

confidence: 99%

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The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study

2018

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ObjectiveTo compare the observer preference of image quality and radiation dose between non-grid, grid-like, and grid images.Materials and MethodsEach of the 38 patients underwent bedside chest radiography with and without a grid. A grid-like image was generated from a non-grid image using SimGrid software (Samsung Electronics Co. Ltd.) employing deep-learning-based scatter correction technology. Two readers recorded the preference for 10 anatomic landmarks and the overall appearance on a five-point scale for a pair of non-grid and grid-like images, and a pair of grid-like and grid images, respectively, which were randomly presented. The dose area product (DAP) was also recorded. Wilcoxon's rank sum test was used to assess the significance of preference.ResultsBoth readers preferred grid-like images to non-grid images significantly (p < 0.001); with a significant difference in terms of the preference for grid images to grid-like images (p = 0.317, 0.034, respectively). In terms of anatomic landmarks, both readers preferred grid-like images to non-grid images (p < 0.05). No significant differences existed between grid-like and grid images except for the preference for grid images in proximal airways by two readers, and in retrocardiac lung and thoracic spine by one reader. The median DAP were 1.48 (range, 1.37–2.17) dGy*cm2 in grid images and 1.22 (range, 1.11–1.78) dGy*cm2 in grid-like images with a significant difference (p < 0.001).ConclusionThe SimGrid software significantly improved the image quality of non-grid images to a level comparable to that of grid images with a relatively lower level of radiation exposure.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study

2018

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“…Therefore, the image quality must be checked particularly at values below the 25th percentiles. When using modern equipment, e. g. the simulation of scatter radiation grids in radiography or iterative image reconstruction in CT, sufficient diagnostic image quality can be achieved even under the 25th percentiles in some cases [37]. Further reference values for examinations for which no DRLs have been defined are provided in the indicated study on CT practice in Germany [20].…”

Section: Reference Valuesmentioning

confidence: 99%

Diagnostic Reference Levels for Diagnostic and Interventional X-Ray Procedures in Germany: Update and Handling

Schegerer

Loose²,

Heuser

et al. 2019

Fortschr Röntgenstr

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Purpose Recent developments in medical technology have broadened the spectrum of X-ray procedures and changed exposure practice in X-ray facilities. For this reason, diagnostic reference levels (DRLs) for diagnostic and interventional X-ray procedures were updated in 2016 and 2018, respectively. It is the aim of this paper to present the procedure for the update of the DRLs and to give advice on their practical application. Materials and Methods For the determination of DRLs, data from different independent sources that collect dose-relevant data from different facilities in Germany were considered. Seven different weight intervals were specified for classifying pediatric X-ray procedures. For each X-ray procedure considered, the 25th, 50th, and 75th percentile of the respective national distribution of the dose-relevant parameters were determined. Additionally, effective doses that correspond to the DRLs were estimated. Results In procedures with already existing DRLs before 2016, the values were lowered by circa 20 % on average. Numerous DRLs were established for the first time (9 for interventional procedures, 10 for CT examinations). Conclusion For dose optimizations even below the new national DRLs, the BfS recommends establishing local reference levels, using dose management software (particularly in CT and interventional radiology), adapting dose-relevant parameters of X-ray protocols to the individual patient size, and establishing internal radiation protection teams responsible for optimizing X-ray procedures in clinical practice. When applying good medical practice and using modern equipment, the median dose values of the nationwide dose distributions can not only be easily achieved but can even be undercut. Key Points: Citation Format

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“…Recently, a virtual grid technique using scatter correction software has been developed to improve image quality by reducing the effect of scattered X-rays ( 9 10 ). In this approach, an iterative estimation of the scatter signal through Monte Carlo simulations of water phantoms is conducted, and scatter correction is conducted by compensating the contrast loss due to scattered signals.…”

Section: Discussionmentioning

confidence: 99%

Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography

et al. 2018

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ObjectiveTo evaluate the preference of observers for image quality of chest radiography using the deconvolution algorithm of point spread function (PSF) (TRUVIEW ART algorithm, DRTECH Corp.) compared with that of original chest radiography for visualization of anatomic regions of the chest.Materials and MethodsProspectively enrolled 50 pairs of posteroanterior chest radiographs collected with standard protocol and with additional TRUVIEW ART algorithm were compared by four chest radiologists. This algorithm corrects scattered signals generated by a scintillator. Readers independently evaluated the visibility of 10 anatomical regions and overall image quality with a 5-point scale of preference. The significance of the differences in reader's preference was tested with a Wilcoxon's signed rank test.ResultsAll four readers preferred the images applied with the algorithm to those without algorithm for all 10 anatomical regions (mean, 3.6; range, 3.2–4.0; p < 0.001) and for the overall image quality (mean, 3.8; range, 3.3–4.0; p < 0.001). The most preferred anatomical regions were the azygoesophageal recess, thoracic spine, and unobscured lung.ConclusionThe visibility of chest anatomical structures applied with the deconvolution algorithm of PSF was superior to the original chest radiography.

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Evaluation of Dose Reduction Potentials of a Novel Scatter Correction Software for Bedside Chest X-Ray Imaging

Cited by 28 publications

References 7 publications

The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study

The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study

Diagnostic Reference Levels for Diagnostic and Interventional X-Ray Procedures in Germany: Update and Handling

Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography

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