Coronary artery plaques: Cardiac CT with model-based and adaptive-statistical iterative reconstruction technique

Scheffel, Hans; Stolzmann, Paul; Schlett, Christopher L.; Engel, Leif-Christopher; Major, Gyöngi Petra; Károlyi, Mihály; Do, Synho; Maurovich-Horvat, Pál; Hoffmann, Udo

doi:10.1016/j.ejrad.2011.11.051

Cited by 114 publications

(49 citation statements)

References 20 publications

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“…It does not involve blending with FBP images, and is mathematically more complex and accurate than ASIR techniques (16). Several studies showed that MBIR images, as compared with ASIR and FBP images, have equivalent or better image quality with a substantial decrease in image noise and potential to reduce radiation dose on CT images of cardiac, liver, lung and cervicothoracic region (15)(16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

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Coronary Stent on Coronary CT Angiography: Assessment with Model-Based Iterative Reconstruction Technique

Lee

Kim

Chun

et al. 2016

J Korean Soc Radiol

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Purpose:To assess the performance of model-based iterative reconstruction (MBIR) technique for evaluation of coronary artery stents on coronary CT angiography (CCTA). Materials and Methods: Twenty-two patients with coronary stent implantation who underwent CCTA were retrospectively enrolled for comparison of image quality between filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR) and MBIR. In each data set, image noise was measured as the standard deviation of the measured attenuation units within circular regions of interest in the ascending aorta (AA) and left main coronary artery (LM). To objectively assess the noise and blooming artifacts in coronary stent, we additionally measured the standard deviation of the measured attenuation and intra-luminal stent diameters of total 35 stents with dedicated software. Results: All image noise measured in the AA (all p < 0.001), LM (p < 0.001, p = 0.001) and coronary stent (all p < 0.001) were significantly lower with MBIR in comparison to those with FBP or ASIR. Intraluminal stent diameter was significantly higher with MBIR, as compared with ASIR or FBP (p < 0.001, p = 0.001). Conclusion: MBIR can reduce image noise and blooming artifact from the stent, leading to better in-stent assessment in patients with coronary artery stent.

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Section: Introductionmentioning

confidence: 99%

“…Recently developed model-based iterative reconstruction (MBIR) technique is a raw data based 3-dimensional image reconstruction method (15). It does not involve blending with FBP images, and is mathematically more complex and accurate than ASIR techniques (16).…”

Section: Introductionmentioning

confidence: 99%

Coronary Stent on Coronary CT Angiography: Assessment with Model-Based Iterative Reconstruction Technique

Lee

Kim

Chun

et al. 2016

J Korean Soc Radiol

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“…It is also effective to apply an iterative reconstruction algorithm. Some previous study reported that the iterative reconstruction algorithm significantly reduced image noise and yielded a higher contrast-to-noise ratio of coronary artery [22,23] . Takata et al [24] also demonstrated that the iterative reconstruction algorithm had the noise reduction performance with exact preservation for high contrast resolution and slight degradation of middle contrast resolution.…”

Section: Discussionmentioning

confidence: 99%

Radiation doses, noise properties, and in-plane spatial resolutions for CT coronary angiography using different CT scanners: Phantom study

Matsubara

Takata

Mori

et al. 2015

IJDI

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Objective: We aimed to evaluate radiation doses, noise properties, and in-plane spatial resolutions for CT coronary angiography (CTCA) using different CT scanners and phantoms.Methods: ECG-gated step-and-shoot (SAS) and low-pitch spiral (LPS) acquisitions were performed using the 64-section single-source CT (SSCT) system. ECG-gated high-pitch spiral (HPS), SAS, and LPS acquisitions were performed using the 128-section dual-source CT (DSCT) system. The absorbed doses for thoracic organs were measured using an anthropomorphic phantom and radiophotoluminescent glass dosimeters. Noise properties and in-plane spatial resolutions were evaluated using a calibration phantom and a cylinder phantom constructed in-house, respectively. Results:The absorbed doses for thoracic organs differed significantly depending on the acquisition modes and not the scanners. The doses absorbed by the heart were 66.8 and 215.5 mGy with SAS and LPS acquisitions using the 64-section SSCT system, respectively, and 10.0, 96.1, and 195.7 mGy with HPS, SAS, and LPS acquisitions using the 128-section DSCT system, respectively. Noise properties and in-plane spatial resolutions differed significantly depending on the scanners used but not the acquisition modes. Conclusions:To optimize the patient dose, an appropriate acquisition mode should be chosen according to the scanner type, patient's average heart rate, stability of a patient's heartbeat, and patient's history.

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“…However, these methods are still in the phase of clinical evaluation, but results are very promising. [6][7][8][9][10] There are several recent review papers which compare the vendor implementations of iterative reconstructions in clinical CT among each other. [11][12][13] It turns out, that among these approaches rawdata-based iterative reconstruction methods have shown most promising results.…”

Section: Introductionmentioning

confidence: 99%

“…[11][12][13] It turns out, that among these approaches rawdata-based iterative reconstruction methods have shown most promising results. 7,9 Iterative reconstruction algorithms offer the possibility to incorporate nonidealities in the problem description: Statistical algorithms are based on a noise model and thus consider the photon statistics. 14,15 Prior knowledge such as positivity or smoothness can be considered in an iterative algorithm by regularization approaches.…”

Section: Introductionmentioning

confidence: 99%

Alpha image reconstruction (AIR): A new iterative CT image reconstruction approach using voxel-wise alpha blending

et al. 2014

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Coronary artery plaques: Cardiac CT with model-based and adaptive-statistical iterative reconstruction technique

Cited by 114 publications

References 20 publications

Coronary Stent on Coronary CT Angiography: Assessment with Model-Based Iterative Reconstruction Technique

Coronary Stent on Coronary CT Angiography: Assessment with Model-Based Iterative Reconstruction Technique

Radiation doses, noise properties, and in-plane spatial resolutions for CT coronary angiography using different CT scanners: Phantom study

Alpha image reconstruction (AIR): A new iterative CT image reconstruction approach using voxel-wise alpha blending

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