The effect of a whole heart motion-correction algorithm on CT image quality and measurement reproducibility in Pre-TAVR aortic annulus evaluation

Soon, Jeanette; Sulaiman, Nada; Park, Jong Kwan; Kueh, Shaw-Hua; Naoum, Christopher; Murphy, Darra; Ellis, Jennifer D.; Hague, Cameron; Blanke, Philipp; Leipsic, Jonathon

doi:10.1016/j.jcct.2016.08.001

Cited by 15 publications

(18 citation statements)

References 6 publications

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“…Each volume dataset in the series undergoes spatial deformation by the motion field. This allows the motion state to be mapped from the respective time to the central reference time, which is determined by the prescribed cardiac phase [29].…”

Section: Methodsmentioning

confidence: 99%

“…They subjectively and independently inspected the MPR images from the sinotubular junction to the left ventricular outflow tract of the datasets for motion artifacts at the aortic annulus level. To grade the image quality they used the 5-point Likert scale where 1 = very poor (motion artifacts resulting in poor visualization of the aortic valve anatomy, not evaluable), 2 = poor (degraded visualization of the aortic valve anatomy due to motion artifacts, not evaluable), 3 = fair (minor motion artifacts with clear delineation of the aortic valve anatomy), 4 = good (no motion artifacts with confident identification of the aortic root anatomy including the cusp nadirs and annular contours), and 5 = excellent (outstanding image quality with a high level of diagnostic certainty with regard to the aortic valve cusps, the leaflet nadirs, and the detection of the aortic annular contours) [29]. Interobserver disagreement was resolved by consensus.…”

Section: Qualitative Analysismentioning

confidence: 99%

“…For the cardiac phase, the systolic-(R-R interval, 40%) and diastolic phase (R-R interval, 75%) used for pre-TAVI cardiac CT measurements were selected [2,4,29,30].…”

Section: Data Processingmentioning

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: Methodsmentioning

confidence: 99%

Section: Qualitative Analysismentioning

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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“…Computed tomography data was acquired with 120 kV, 350 mA, 280 ms rotation, small spot size, and standard reconstruction kernel, with ASiR‐V = 50%; a single acquisition was used for analysis, no averaging was done. We then implemented a post processing motion‐correction algorithm (Snapshot Freeze; GE Healthcare) on the motion corrupted images to yield a set of corrected images. Analysis of the IMVV was performed on the corrected and uncorrected images.…”

Section: Methodsmentioning

confidence: 99%

Precise measurement of coronary stenosis diameter with CCTA using CT number calibration

et al. 2019

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Purpose Coronary x‐ray computed tomography angiography (CCTA) continues to develop as a noninvasive method for the assessment of coronary vessel geometry and the identification of physiologically significant lesions. The uncertainty of quantitative lesion diameter measurement due to limited spatial resolution and vessel motion reduces the accuracy of CCTA diagnoses. In this paper, we introduce a new technique called computed tomography (CT)‐number‐Calibrated Diameter to improve the accuracy of the vessel and stenosis diameter measurements with CCTA. Methods A calibration phantom containing cylindrical holes (diameters spanning from 0.8 mm through 4.0 mm) capturing the range of diameters found in human coronary vessels was three‐dimensional printed. We also printed a human stenosis phantom with 17 tubular channels having the geometry of lesions derived from patient data. We acquired CT scans of the two phantoms with seven different imaging protocols. Calibration curves relating vessel intraluminal maximum voxel value (maximum CT number of a voxel, described in Hounsfield Units, HU) to true diameter, and full‐width‐at‐half maximum (FWHM) to true diameter were constructed for each CCTA protocol. In addition, we acquired scans with a small constant motion (15 mm/s) and used a motion correction reconstruction (Snapshot Freeze) algorithm to correct motion artifacts. We applied our technique to measure the lesion diameter in the 17 lesions in the stenosis phantom and compared the performance of CT‐number‐Calibrated Diameter to the ground truth diameter and a FWHM estimate. Results In all cases, vessel intraluminal maximum voxel value vs diameter was found to have a simple functional form based on the two‐dimensional point spread function yielding a constant maximum voxel value region above a cutoff diameter, and a decreasing maximum voxel value vs decreasing diameter below a cutoff diameter. After normalization, focal spot size and reconstruction kernel were the principal determinants of cutoff diameter and the rate of maximum voxel value reduction vs decreasing diameter. The small constant motion had a significant effect on the CT number calibration; however, the motion‐correction algorithm returned the maximum voxel value vs diameter curve to that of stationary vessels. The CT number Calibration technique showed better performance than FWHM estimation of diameter, yielding a high accuracy in the tested range (0.8 mm through 2.5 mm). We found a strong linear correlation between the smallest diameter in each of 17 lesions measured by CT‐number‐Calibrated Diameter (DC) and ground truth diameter (Dgt), (DC = 0.951 × Dgt + 0.023 mm, r = 0.998 with a slope very close to 1.0 and intercept very close to 0 mm. Conclusions Computed tomography‐number‐Calibrated Diameter is an effective method to enhance the accuracy of the estimate of small vessel diameters and degree of coronary stenosis in CCTA.

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“…Down-sampling and scaling factors were applied to reduce data size and speed up the algorithm. Consequently, Spatial and low contrast resolution were reduced, which may have impacted upon observer variability, making it difficult to differentiate between tissue borders (8,31). This may have impaired the ability of the algorithm to accurately identify and track specific anatomical landmarks.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Automated quantification of mitral valve geometry on multi-slice computed tomography in patients with dilated cardiomyopathy – Implications for transcatheter mitral valve replacement

Banks

Razeghi

Ntalas

et al. 2018

Journal of Cardiovascular Computed Tomography

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The effect of a whole heart motion-correction algorithm on CT image quality and measurement reproducibility in Pre-TAVR aortic annulus evaluation

Cited by 15 publications

References 6 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

Precise measurement of coronary stenosis diameter with CCTA using CT number calibration

Automated quantification of mitral valve geometry on multi-slice computed tomography in patients with dilated cardiomyopathy – Implications for transcatheter mitral valve replacement

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