Temporal resolution and motion artifacts in single‐source and dual‐source cardiac CT

Schöndube, Harald; Allmendinger, Thomas; Stierstorfer, Karl; Bruder, Herbert; Flohr, Thomas

doi:10.1118/1.4790695

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…Variations in heart rate during breath holding, with an initial decrease and a later increase, may result in motion artifacts in the distal coronary segments if the scanning direction is craniocaudal. Inappropriate pitch selection may also result because of this variation and may ex-resolution (27). The physics of temporal resolution is complex and beyond the scope of this article.…”

Section: Cardiac Motionmentioning

confidence: 99%

“…The physics of temporal resolution is complex and beyond the scope of this article. However, with a single-source scanner, there are two approaches used to improve temporal resolution: a direct short-scan fan-beam filtered backprojection reconstruction with a Parker weighting scheme, or a rebinning step to parallel-beam geometry, followed by a 180° parallel-beam filtered back-projection reconstruction (27). Simplistically, temporal resolution at cardiac CT is primarily determined by the gantry rotation speed.…”

Section: Cardiac Motionmentioning

confidence: 99%

See 1 more Smart Citation

Artifacts at Cardiac CT: Physics and Solutions

et al. 2016

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Computed tomography is vulnerable to a wide variety of artifacts, including patient- and technique-specific artifacts, some of which are unique to imaging of the heart. Motion is the most common source of artifacts and can be caused by patient, cardiac, or respiratory motion. Cardiac motion artifacts can be reduced by decreasing the heart rate and variability and the duration of data acquisition; adjusting the placement of the data window within a cardiac cycle; performing single-heartbeat scanning; and using multisegment reconstruction, motion-correction algorithms, and electrocardiographic editing. Respiratory motion artifacts can be minimized with proper breath holding and shortened scan duration. Partial volume averaging is caused by the averaging of attenuation values from all tissue contained within a voxel and can be reduced by improving the spatial resolution, using a higher x-ray energy, or displaying images with a wider window width. Beam-hardening artifacts are caused by the polyenergetic nature of the x-ray beam and can be reduced by using x-ray filtration, applying higher-energy x-rays, altering patient position, modifying contrast material protocols, and applying certain reconstruction algorithms. Metal artifacts are complex and have multiple causes, including x-ray scatter, underpenetration, motion, and attenuation values that exceed the typical dynamic range of Hounsfield units. Quantum mottle or noise is caused by insufficient penetration of tissue and can be improved by increasing the tube current or peak tube potential, reconstructing thicker sections, increasing the rotation time, using appropriate patient positioning, and applying iterative reconstruction algorithms. RSNA, 2016.

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Section: Cardiac Motionmentioning

confidence: 99%

Section: Cardiac Motionmentioning

confidence: 99%

Artifacts at Cardiac CT: Physics and Solutions

et al. 2016

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“…Gantry speed improvements alone cannot meet the high demands of imaging the coronaries robustly at all cardiac phases. The temporal resolution has been further improved by roughly a factor of two by adding a second CT beamline (source/detector pair) on the gantry of some scanners, thus reducing motion artifacts [5]. Extension to N beamlines with N > 2 is difficult due to spatial and cost constraints [6].…”

Section: Introductionmentioning

confidence: 99%

Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions

Pack

Wang

et al. 2022

Vis. Comput. Ind. Biomed. Art

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This review paper aims to summarize cardiac CT blooming artifacts, how they present clinically and what their root causes and potential solutions are. A literature survey was performed covering any publications with a specific interest in calcium blooming and stent blooming in cardiac CT. The claims from literature are compared and interpreted, aiming at narrowing down the root causes and most promising solutions for blooming artifacts. More than 30 journal publications were identified with specific relevance to blooming artifacts. The main reported causes of blooming artifacts are the partial volume effect, motion artifacts and beam hardening. The proposed solutions are classified as high-resolution CT hardware, high-resolution CT reconstruction, subtraction techniques and post-processing techniques, with a special emphasis on deep learning (DL) techniques. The partial volume effect is the leading cause of blooming artifacts. The partial volume effect can be minimized by increasing the CT spatial resolution through higher-resolution CT hardware or advanced high-resolution CT reconstruction. In addition, DL techniques have shown great promise to correct for blooming artifacts. A combination of these techniques could avoid repeat scans for subtraction techniques.

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“…For cardiac CT imaging, quite a few surrogate temporal resolution metrics have been introduced to define surrogate temporal resolution metrics. These methods include the effective temporal window for data usage in cardiac reconstruction (Taguchi & Anno 2000, Taguchi 2003), the temporal sensitivity profile (TSP) (Hu et al 2000), the temporal modulation transfer function (MTF) (Ertel et al 2008), and the quantification of severity of motion artifacts (McCollough et al 2008, Tang et al 2010, Schöndube et al 2011, Maaß & Kachelrieß 2011, Chen et al 2012, Schöndube et al 2013). Similarly, for time-resolved CT angiography, the method of using the effective temporal window defined by the weighting function in a short-scan acquisition and reconstruction (Taguchi 2003) can be directly used to estimate temporal resolution provided that the conventional filtered backprojection (FBP) reconstruction method was used.…”

Section: Introductionmentioning

confidence: 99%

Quantification of temporal resolution improvement factor in SMART-RECON based time-resolved C-arm Cone beam computed tomography angiography (TR-CBCTA)

Garrett¹,

Li²,

Li³

et al. 2018

Phys. Med. Biol.

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In a recently published paper by Li et al (2018 Phys. Med. Biol. 63 075001), reconstruction parameters were optimized for the so-called synchronized multiArtifact reduction with tomographic reconstruction (SMART-RECON) method to enable time-resolved Cone beam computed tomography angiography (TR-CBCTA) from a single short-scan CBCT data set. However, the paper did not quantitatively address how much temporal resolution can be improved by using the SMART-RECON algorithm in TR-CBCTA. The purpose of this note was to present a method to quantify this temporal resolution improvement factor and to use that method to quantify the improvement in temporal resolution using SMART-RECON and optimized reconstruction parameters. In the method proposed in this note, the potential temporal blurring caused by SMART-RECON was modeled as a convolution between a temporal Gaussian blurring kernel and the ground truth temporal enhancement curve. The width parameter of the resulting Gaussian blurring kernel was used as a surrogate metric for temporal resolution to quantify the achievable temporal resolution for the conventional filtered backprojection (FBP) and SMART-RECON methods. The ratio of the surrogate temporal resolutions for the two reconstruction methods was calculated to quantify the factor of temporal resolution improvement. The quantitative results show that the temporal resolution is improved by a factor of 4.5 using SMART-RECON compared with FBP.

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Temporal resolution and motion artifacts in single‐source and dual‐source cardiac CT

Cited by 9 publications

References 18 publications

Artifacts at Cardiac CT: Physics and Solutions

Artifacts at Cardiac CT: Physics and Solutions

Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions

Quantification of temporal resolution improvement factor in SMART-RECON based time-resolved C-arm Cone beam computed tomography angiography (TR-CBCTA)

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