Chest computed tomography using iterative reconstruction vs filtered back projection (Part 1): evaluation of image noise reduction in 32 patients

Pontana, François; Pagniez, Julien; Flohr, Thomas; Faivre, J; Duhamel, Alain; Rémy, Jacques; Rémy-Jardin, M.

doi:10.1007/s00330-010-1990-5

Cited by 171 publications

(107 citation statements)

References 17 publications

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“…The CNR was almost doubled at the highest level of IR when compared to FBP in our measurements. Many studies have been published within the last years reporting on noise reduction and improvement of low-contrast image quality due to IR in CT examinations of the abdomen [13], the thorax [14,15] and the heart [25 -27]. In recent studies by Utsunomiya et al and Laqmani et al, a progressive improvement of the CNR and subjective image quality in cardiac CT and lowdose chest CT was reported when using different levels of IR compared to FBP [28,29].…”

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confidence: 99%

Impact of Increasing Levels of Advanced Iterative Reconstruction on Image Quality in Low-Dose Cardiac CT Angiography

Kröpil

Bigdeli

Nagel

et al. 2014

Fortschr Röntgenstr

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Purpose: To investigate the effects of an advanced iterative reconstruction (IR) technique on subjective and objective image quality (IQ) in low-dose cardiac CT angiography (CCTA). Materials and Methods: 30 datasets of prospectively triggered ?step-and-shoot? CCTA scans acquired on a 256-slice CT scanner with optimized exposure settings were processed on a prototype IR system using filtered back-projection (FBP) and 4 levels of advanced IR (iDose4, Philips) providing incremental rates of IR (level 2, 4, 6, 7). In addition, the effects of different reconstruction kernels (semi-smooth [CB], standard with edge-enhancement [XCB]) and a ?multi-resolution? feature [MR] to preserve the noise power spectrum were evaluated resulting in a total of n?=?480 image sets. Contrast-to-noise ratios (CNR) were computed from regions of interest at 9 coronary locations. The subjective IQ was rated on a 4-point-scale with ?classic? image appearance and noise-related artifacts as main criteria. Results: At an effective dose of 1.7???0.7?mSv, the CNR significantly improved with every increasing level of IR (range: 14.2???27.8; p?

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confidence: 99%

Impact of Increasing Levels of Advanced Iterative Reconstruction on Image Quality in Low-Dose Cardiac CT Angiography

Kröpil

Bigdeli

Nagel

et al. 2014

Fortschr Röntgenstr

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“…the deployment of bow-tie filters in cardiac imaging that aggressively restrict radiation beyond the targeted cardiac field-of-view [23], and recently the introduction of iterative reconstruction technique. Assessment of this technique by Potana et al [25,26] found significant image noise reduction without loss of diagnostic information on routine chest CT imaging in adults. On adopting a low-dose imaging technique (with 35% dose reduction), the iterative reconstructed image quality was found to be similar to a standard dose CT examination using filtered back projection reconstruction technique.…”

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confidence: 99%

Paediatric cardiac computed tomography: a review of imaging techniques and radiation dose consideration

Young

Owens²

2010

Eur Radiol

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The significant challenges involved in imaging the heart in small children (<15 kg) have been addressed by, and partially resolved with improvement in temporal and spatial resolution secondary to the advent of new multidetector CT technology. This has enabled both retrospective and prospective ECG-gated imaging in children even at high heart rates (over 100 bpm) without the need for beta blockers. Recent studies have highlighted that the radiation burden associated with cardiac CT can be reduced using prospective ECG-gating. Our experience shows that the resultant dose reduction can be optimised to a level equivalent to that of a non-gated study. This article reviews the different aspects of ECG-gating and the preferred technique for cardiac imaging in the young child (<15 kg). We summarize our evidenced based recommendations for readers, referencing recent articles and using our in house data, protocols and dose measurements discussing the various methods available for dose calculations and their inherent bias.

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“…This includes a number of clinical studies. [18][19][20] Most assess image noise, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and radiologist ratings with paired analysis or Likert scale. However, it is well known that CNR is insufficient for quantifying medical image quality.…”

Section: Introductionmentioning

confidence: 99%

Computational and human observer image quality evaluation of low dose, knowledge‐based CT iterative reconstruction

et al. 2015

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Purpose: Aims in this study are to (1) develop a computational model observer which reliably tracks the detectability of human observers in low dose computed tomography (CT) images reconstructed with knowledge-based iterative reconstruction (IMR™, Philips Healthcare) and filtered back projection (FBP) across a range of independent variables, (2) use the model to evaluate detectability trends across reconstructions and make predictions of human observer detectability, and (3) perform human observer studies based on model predictions to demonstrate applications of the model in CT imaging. Methods: Detectability (d ′ ) was evaluated in phantom studies across a range of conditions. Images were generated using a numerical CT simulator. Trained observers performed 4-alternative forced choice (4-AFC) experiments across dose (1.3, 2.7, 4.0 mGy), pin size (4, 6, 8 mm), contrast (0.3%, 0.5%, 1.0%), and reconstruction (FBP, IMR), at fixed display window. A five-channel Laguerre-Gauss channelized Hotelling observer (CHO) was developed with internal noise added to the decision variable and/or to channel outputs, creating six different internal noise models. Semianalytic internal noise computation was tested against Monte Carlo and used to accelerate internal noise parameter optimization. Model parameters were estimated from all experiments at once using maximum likelihood on the probability correct, P C . Akaike information criterion (AIC) was used to compare models of different orders. The best model was selected according to AIC and used to predict detectability in blended FBP-IMR images, analyze trends in IMR detectability improvements, and predict dose savings with IMR. Predicted dose savings were compared against 4-AFC study results using physical CT phantom images. Results: Detection in IMR was greater than FBP in all tested conditions. The CHO with internal noise proportional to channel output standard deviations, Model-k4, showed the best trade-off between fit and model complexity according to AIC c . With parameters fixed, the model reasonably predicted detectability of human observers in blended FBP-IMR images. Semianalytic internal noise computation gave results equivalent to Monte Carlo, greatly speeding parameter estimation. Using Model-k4, the authors found an average detectability improvement of 2.7 ± 0.4 times that of FBP. IMR showed greater improvements in detectability with larger signals and relatively consistent improvements across signal contrast and x-ray dose. In the phantom tested, Model-k4 predicted an 82% dose reduction compared to FBP, verified with physical CT scans at 80% reduced dose. Conclusions: IMR improves detectability over FBP and may enable significant dose reductions. A channelized Hotelling observer with internal noise proportional to channel output standard deviation agreed well with human observers across a wide range of variables, even across reconstructions with drastically different image characteristics. Utility of the model observer was demonstrated by predicting the effect of im...

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Chest computed tomography using iterative reconstruction vs filtered back projection (Part 1): evaluation of image noise reduction in 32 patients

Cited by 171 publications

References 17 publications

Impact of Increasing Levels of Advanced Iterative Reconstruction on Image Quality in Low-Dose Cardiac CT Angiography

Impact of Increasing Levels of Advanced Iterative Reconstruction on Image Quality in Low-Dose Cardiac CT Angiography

Paediatric cardiac computed tomography: a review of imaging techniques and radiation dose consideration

Computational and human observer image quality evaluation of low dose, knowledge‐based CT iterative reconstruction

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