Comparison of noise-magnitude and noise-texture across two generations of iterative reconstruction algorithms from three manufacturers

Greffier, Joël; Larbi, Ahmed; Frandon, Julien; Moliner, Gemma Hernando; Beregi, Jean Paul; Pereira, F.

doi:10.1016/j.diii.2019.04.006

Cited by 21 publications

(18 citation statements)

References 26 publications

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“…These changes were related to the increase in the iterative level and the use of a softer reconstruction kernel. However, these modifications changed the image texture, increasing image smoothness and reducing spatial resolution (21)(22)(23). Similar results were found by Macri et al on 133 consecutive dyspneic patients but with lower variations in image noise and CNR (17).…”

Section: Discussionsupporting

confidence: 73%

Ultra-low-dose chest CT performance for the detection of viral pneumonia patterns during the COVID-19 outbreak period: a monocentric experience

Greffier¹,

Hoballah²,

Sadate³

et al. 2021

Quant Imaging Med Surg

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Background: Ultra low dose chest computed tomography (CT) acquisitions have been used for selected emergency room patients with acute dyspnea or minor thoracic trauma. The purpose of this study was to evaluate the diagnostic performance of ultra-low-dose (ULD) chest CT for detecting viral pneumonia patterns compared to standard (STD) dose chest CT.Methods: All consecutive adult patients with two non-enhanced chest CT acquisitions, one STD and one ULD, for suspicion of viral pneumonia between March 5 th and April 2 nd 2020 were included. CT results were divided into two groups: non-viral pneumonia CT or compatible with viral pneumonia CT based on viral pneumonia CT patterns: ground-glass opacity (GGO), consolidation, crazy paving, air bronchogram signs and fibrous stripes. The diagnostic performance of ULD CT for suspicion of viral pneumonia was evaluated.For CTs compatible with viral pneumonia, CT pattern detection on ULD CT was assessed and STD CT was used as a reference. Results:The study included 380 patients with 97 CTs (25.5%) compatible with viral pneumonia. The mean effective doses (EDs) were 1.66 (1.29; 2.18) mSv for STD and 0.20 (0.18; 0.22) mSv for ULD CT (P<0.001). The sensitivity and specificity of ULD CT for viral pneumonia detection were 98.9% and 99.0%, respectively. GGO, consolidation and fibrous stripes were equally visible in STD and ULD in 100% (n=97), 36% (n=35) and 23% (n=22) of compatible viral pneumonia-CT patients, respectively. Air bronchogram sign detection was equivalent, concerning 23% (n=22) of patients in STD and 22% (n=21) in ULD. Crazy paving was visible in 24% (n=23) of patients in STD and only 8% (n=8) in ULD (P=0.003). Conclusions:In comparison to STD dose chest CT, ULD chest CT, with a mean reduction dose of 88.0%, has comparable diagnostic performance for detecting viral pneumonia on CT.

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Section: Discussionsupporting

confidence: 73%

Ultra-low-dose chest CT performance for the detection of viral pneumonia patterns during the COVID-19 outbreak period: a monocentric experience

Greffier¹,

Hoballah²,

Sadate³

et al. 2021

Quant Imaging Med Surg

View full text Add to dashboard Cite

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“…This comparison was performed on VMIs and iodine maps reconstructed only with Filtered Back Projection (FBP) using parameters and dose levels close to those used in clinical practice for DECT examinations of the abdomen. Spectral performance was studied using a task-based image quality assessment (noise magnitude, noise texture, spatial resolution and detectability of contrastenhanced lesions) often used in conventional single-energy CT (SECT) (13)(14)(15)(16)(17)(18)(19)(20)(21)(22) and increasingly used in DECT (12,23,24). However, this study did not compare the spectral performance of these platforms with the use of IR (hybrid or advanced/partial Model-based IR) algorithms used in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

Comparison of virtual monoenergetic imaging between a rapid kilovoltage switching dual-energy computed tomography with deep-learning and four dual-energy CTs with iterative reconstruction

Greffier¹,

Guiu²,

Frandon³

et al. 2022

Quant Imaging Med Surg

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“…Iterative reconstruction (IR) was introduced in 2009 and has made several improvements since its inception. This reconstruction technique provides a significant improvement in image quality due to considerable noise reduction [ 29 , 30 , 31 ]. It has also been investigated for CT examinations of critically ill patients requiring immediate CT diagnostics [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Computed Tomography Imaging in Simulated Ongoing Cardiopulmonary Resuscitation: No Need to Switch Off the Chest Compression Device during Image Acquisition

et al. 2021

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Computed tomography (CT) represents the current standard for imaging of patients with acute life-threatening diseases. As some patients present with circulatory arrest, they require cardiopulmonary resuscitation. Automated chest compression devices are used to continue resuscitation during CT examinations, but tend to cause motion artifacts degrading diagnostic evaluation of the chest. The aim was to investigate and evaluate a CT protocol for motion-free imaging of thoracic structures during ongoing mechanical resuscitation. The standard CT trauma protocol and a CT protocol with ECG triggering using a simulated ECG were applied in an experimental setup to examine a compressible thorax phantom during resuscitation with two different compression devices. Twenty-eight phantom examinations were performed, 14 with AutoPulse® and 14 with corpuls cpr®. With each device, seven CT examinations were carried out with ECG triggering and seven without. Image quality improved significantly applying the ECG-triggered protocol (p < 0.001), which allowed almost artifact-free chest evaluation. With the investigated protocol, radiation exposure was 5.09% higher (15.51 mSv vs. 14.76 mSv), and average reconstruction time of CT scans increased from 45 to 76 s. Image acquisition using the proposed CT protocol prevents thoracic motion artifacts and facilitates diagnosis of acute life-threatening conditions during continuous automated chest compression.

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Comparison of noise-magnitude and noise-texture across two generations of iterative reconstruction algorithms from three manufacturers

Cited by 21 publications

References 26 publications

Ultra-low-dose chest CT performance for the detection of viral pneumonia patterns during the COVID-19 outbreak period: a monocentric experience

Ultra-low-dose chest CT performance for the detection of viral pneumonia patterns during the COVID-19 outbreak period: a monocentric experience

Comparison of virtual monoenergetic imaging between a rapid kilovoltage switching dual-energy computed tomography with deep-learning and four dual-energy CTs with iterative reconstruction

Computed Tomography Imaging in Simulated Ongoing Cardiopulmonary Resuscitation: No Need to Switch Off the Chest Compression Device during Image Acquisition

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