Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations

Neroladaki, Angeliki; Botsikas, Diomidis; Boudabbous, Sana; Becker, Christoph; Montet, Xavier

doi:10.1007/s00330-012-2627-7

Cited by 196 publications

(131 citation statements)

References 22 publications

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“…The newest generation of CTs, in combination with iterative reconstruction techniques [14], allow for ultralow-dose CT acquisitions with effective doses similar to the dose of the topogram, and thus, not more than the dose with conventional thoracic radiography in two projections, which is 0.05-0.24 mSv [15]. These ultralow-dose CT acquisitions allow a high sensitivity and diagnostic confidence for the detection of pulmonary nodules [16].…”

Section: Introductionmentioning

confidence: 99%

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging

et al. 2016

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Section: Introductionmentioning

confidence: 99%

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging

et al. 2016

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“…The strength of this study compared to other studies evaluating the use of ASIR and MBIR in conjunction with reduced dose is that it represents a more thorough qualitative and quantitative analysis (including the use of two phantoms) for the specific application of lung cancer screening with a focus on GGO definition 13 , 14 , 15 . Despite the study strengths, there were several limitations.…”

Section: Discussionmentioning

confidence: 99%

Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study

Mathieu

Fox

et al. 2014

J Applied Clin Med Phys

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The purpose of this study was to reduce the radiation dosage associated with computed tomography (CT) lung cancer screening while maintaining overall diagnostic image quality and definition of ground‐glass opacities (GGOs). A lung screening phantom and a multipurpose chest phantom were used to quantitatively assess the performance of two iterative image reconstruction algorithms (adaptive statistical iterative reconstruction (ASIR) and model‐based iterative reconstruction (MBIR)) used in conjunction with reduced tube currents relative to a standard clinical lung cancer screening protocol (51 effective mAs (3.9 mGy) and filtered back‐projection (FBP) reconstruction). To further assess the algorithms' performances, qualitative image analysis was conducted (in the form of a reader study) using the multipurpose chest phantom, which was implanted with GGOs of two densities. Our quantitative image analysis indicated that tube current, and thus radiation dose, could be reduced by 40% or 80% from ASIR or MBIR, respectively, compared with conventional FBP, while maintaining similar image noise magnitude and contrast‐to‐noise ratio. The qualitative portion of our study, which assessed reader preference, yielded similar results, indicating that dose could be reduced by 60% (to 20 effective mAs (1.6 mGy)) with either ASIR or MBIR, while maintaining GGO definition. Additionally, the readers' preferences (as indicated by their ratings) regarding overall image quality were equal or better (for a given dose) when using ASIR or MBIR, compared with FBP. In conclusion, combining ASIR or MBIR with reduced tube current may allow for lower doses while maintaining overall diagnostic image quality, as well as GGO definition, during CT lung cancer screening.PACS numbers: 87.57.Q‐, 87.57.nf

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“…There are reports that, even though the apparent difference in the texture of the MBIR images makes it difficult to conduct a blinded reader study, (19) the appearance of MBIR images is reported to have a minimal impact on clinical diagnosis. (19,29,30) In the near future, we plan to conduct a reader study based on the phantom images that we have acquired to evaluate the effect of texture on perception, but it is not within the scope of this study. It must be emphasized that the results presented here apply to the very specific phantom/image acquisition conditions and objects analyzed, and the results may not be readily extrapolated to other situations.…”

Section: Discussionmentioning

confidence: 99%

Performance evaluation of iterative reconstruction algorithms for achieving CT radiation dose reduction — a phantom study

Dodge

Tamm

Cody

et al. 2016

J Applied Clin Med Phys

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The purpose of this study was to characterize image quality and dose performance with GE CT iterative reconstruction techniques, adaptive statistical iterative reconstruction (ASiR), and model-based iterative reconstruction (MBIR), over a range of typical to low-dose intervals using the Catphan 600 and the anthropomorphic Kyoto Kagaku abdomen phantoms. The scope of the project was to quantitatively describe the advantages and limitations of these approaches. The Catphan 600 phantom, supplemented with a fat-equivalent oval ring, was scanned using a GE Discovery HD750 scanner at 120 kVp, 0.8 s rotation time, and pitch factors of 0.516, 0.984, and 1.375. The mA was selected for each pitch factor to achieve CTDI vol values of 24, 18, 12, 6, 3, 2, and 1 mGy. Images were reconstructed at 2.5 mm thickness with filtered back-projection (FBP); 20%, 40%, and 70% ASiR; and MBIR. The potential for dose reduction and low-contrast detectability were evaluated from noise and contrast-to-noise ratio (CNR) measurements in the CTP 404 module of the Catphan. Hounsfield units (HUs) of several materials were evaluated from the cylinder inserts in the CTP 404 module, and the modulation transfer function (MTF) was calculated from the air insert. The results were confirmed in the anthropomorphic Kyoto Kagaku abdomen phantom at 6, 3, 2, and 1 mGy. MBIR reduced noise levels five-fold and increased CNR by a factor of five compared to FBP below 6 mGy CTDI vol , resulting in a substantial improvement in image quality. Compared to ASiR and FBP, HU in images reconstructed with MBIR were consistently lower, and this discrepancy was reversed by higher pitch factors in some materials. MBIR improved the conspicuity of the high-contrast spatial resolution bar pattern, and MTF quantification confirmed the superior spatial resolution performance of MBIR versus FBP and ASiR at higher dose levels. While ASiR and FBP were relatively insensitive to changes in dose and pitch, the spatial resolution for MBIR improved with increasing dose and pitch. Unlike FBP, MBIR and ASiR may have the potential for patient imaging at around 1 mGy CTDI vol . The improved low-contrast detectability observed with MBIR, especially at low-dose levels, indicate the potential for considerable dose reduction.

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Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations

Abstract: Model-based iterative reconstruction allows detection of pulmonary nodules with ULD-CT with radiation exposure in the range of a posterior to anterior (PA) and lateral chest X-ray.

Cited by 196 publications

References 22 publications

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging

Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study

Performance evaluation of iterative reconstruction algorithms for achieving CT radiation dose reduction — a phantom study

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