Impact of a motion correction algorithm on image quality in patients undergoing CT angiography: A randomized controlled trial

Sheta, Hussam Mahmoud; Egstrup, Kenneth; Husic, Mirza; Heinsen, Laurits Juhl; Nieman, Koen; Lambrechtsen, Jess

doi:10.1016/j.clinimag.2016.11.002

Cited by 15 publications

(10 citation statements)

References 22 publications

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“…The earlier vendor-specific motion correction algorithm (SSF1) was designed to address coronary motion artifacts on cardiac scans. It was primarily indicated for coronary imaging and was shown to improve the image quality and diagnostic accuracy of scans performed for the detection of significant coronary stenosis, especially in patients with a high heart rate [12][13][14][15][16][17][18][19]. The SSF2 algorithm extends motion correction to include the whole heart.…”

Section: Discussionmentioning

confidence: 99%

“…The first-generation motion correction algorithm (SnapShot Freeze, SSF1; GE Healthcare) is vendor-specific and designed to address coronary motion artifacts on cardiac scans. Its application significantly improved the image quality of the coronary arteries in patients with a high heart rate [12][13][14][15][16][17][18][19]. A second-generation vendor-specific motion correction algorithm (SnapShot Freeze 2.0, SSF2; GE Healthcare) extended the motion correction range to the whole heart within one scan volume [20,21].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT

Matsumoto

Fujioka

Yokomachi

et al. 2022

Preprint

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Purpose: To investigate the usefulness of the second-generation whole-heart motion correction algorithm (SnapShot Freeze 2.0, SSF2) for demonstrating the aortic annulus at pre-transcatheter aortic valve implantation cardiac CT. Method: We retrospectively analyzed 90 patients with severe aortic stenosis who had undergone cardiac CT on a 256-row CT scanner. The patients were divided into the 3 groups based on their heart rate during the scan (low, < 60 bpm, n = 30; intermediate, 60-69 bpm, n = 30; high, >70 bpm, n = 30). Image datasets were obtained at 40% and 75% of the R-R interval using standard and SSF2 reconstruction. The edge rise distance (ERD) on the CT attenuation profile of the aortic annulus was compared on images subjected to standard- and SSF2 reconstructions. The standard deviations (SD) of area and perimeter were compared using the F-test. The image quality was assessed by two observers using a 5-point Likert score. Results: In patients with intermediate and high heart rates, the ERD was significantly shorter on SSF2- than standard reconstructed images (p < 0.01). The SD of area and perimeter were significantly smaller in SSF2 reconstruction than in standard (all: p < 0.05). Except for R-R interval 75% in patients with low heart rate (p = 0.54), the image quality scores were significantly higher for images reconstructed with SSF2 than standard (p < 0.01). Conclusions: For the demonstration of the aortic annulus in patients with high heart rate or a 40% R-R interval, SSF2- was superior to standard reconstruction.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT

Matsumoto

Fujioka

Yokomachi

et al. 2022

Preprint

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“…For example, partial angle images can be used to estimate and correct for temporally-constant but spatiallyvarying motion [23]. One such approach ("SnapShot Freeze", GE Healthcare) has been developed into a clinical solution and been shown to improve imaqe quality [24] and reduce the presence of artifacts [25]. However, validation of these methods has been limited especially when correcting complex motions.…”

Section: B Motion Estimation Approachesmentioning

confidence: 99%

Neural Computed Tomography

Gupta¹,

Colvert²,

Contijoch³

2022

Preprint

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Motion during acquisition of a set of projections can lead to significant motion artifacts in computed tomography reconstructions despite fast acquisition of individual views. In cases such as cardiac imaging, motion may be unavoidable and evaluating motion may be of clinical interest. Reconstructing images with reduced motion artifacts has typically been achieved by developing systems with faster gantry rotation or using algorithms which measure and/or estimate the displacements. However, these approaches have had limited success due to both physical constraints as well as the challenge of estimating/measuring non-rigid, temporally varying, and patient-specific motions. We propose a novel reconstruction framework, NeuralCT, to generate time-resolved images free from motion artifacts. Our approaches utilizes a neural implicit approach and does not require estimation or modeling of the underlying motion. Instead, boundaries are represented using a signed distance metric and neural implicit framework. We utilize 'analysis-by-synthesis' to identify a solution consistent with the acquired sinogram as well as spatial and temporal consistency constraints. We illustrate the utility of NeuralCT in three progressively more complex scenarios: translation of a small circle, heartbeat-like change in an ellipse's diameter, and complex topological deformation. Without hyperparameter tuning or change to the architecture, NeuralCT provides high quality image reconstruction for all three motions, as compared to filtered backprojection using mean-square-error and Dice metrics. Code and supplemental movies are available at https://kunalmgupta.github.io/projects/NeuralCT.html.

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“…Using a single-source 64-detector CT scanner (Discovery CT750HD ; GE Healthcare, Milwaukee, WI, USA), we acquired a scout image to determine the scan range for the following CT scan to cover the entire LV and coronary vessel models. We then 6,[13][14][15][16][17] . Thus, the algorithm effectively compresses the temporal window for reconstruction.…”

Section: Ecg-gated Ct Scanmentioning

confidence: 99%

“…There are some reports that the additional use of MCA to HSRA is effective for reducing coronary motion artifacts [13][14][15][16] .…”

mentioning

confidence: 99%

Effects of using Different Reconstruction Algorithms on Coronary Motion Artifacts at Various Heart Rates during Coronary CT Angiography

Fukui

Yamamoto

Tanigaki

et al. 2019

Journal of Coronary Artery Disease

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Since the introduction of 64-detector computed tomography (CT), coronary CT angiography (CCTA) has been used increasingly for the noninvasive detection of coronary artery disease with a high diagnostic accuracy 1, 2). However, arterial motion, which is one of the most common limitations in CCTA examination, renders many arterial segments "non-interpretable" 3-6). Coronary motion artifacts tend to be most pronounced at higher heart rates (HRs), and several studies have recommended an average HR no greater than 65 beats per minute (bpm) to obtain reliable image quality in CCTA and recommend the use of medications, if necessary, to control the HR 7-10). The Society of Cardiovascular Computed Tomography (SCCT) guidelines for the performance and acquisition of CCTA has reported that HR control has tangible benefits including not only image quality, but also the ability to use dose-reduction scan acquisitions. Dose-reduction scan acquisitions are not possible at higher HRs, and a target HR for a CCTA set at 60 bpm or less is usually appropriate 11). The multi-sector reconstruction algorithm (MSRA) retrospectively reconstructs images from different cardiac cycles (two to five), and this method can theoretically improve the effective temporal resolution. Meanwhile, the half-scan reconstruction algorithm (HSRA) reconstructs images from a single cardiac cycle. MSRA usually achieves a better temporal resolution than HSRA 12). On the other hand, a novel motion correction algorithm (MCA) has been recently introduced that compensates for coronary arterial motion using image sets reconstructed with HSRA at adjacent cardiac phases within a single cardiac cycle obtained using electrocardiographic (ECG)-gated CCTA scans 6). The use of MCA improves image quality, interpretability, and diagnostic accuracy in CCTA without the use of medications to control HR 6) .

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Impact of a motion correction algorithm on image quality in patients undergoing CT angiography: A randomized controlled trial

Cited by 15 publications

References 22 publications

Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT

Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT

Neural Computed Tomography

Effects of using Different Reconstruction Algorithms on Coronary Motion Artifacts at Various Heart Rates during Coronary CT Angiography

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