1997
DOI: 10.1016/s0735-1097(97)00154-x
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Electrocardiogram-Gated Intravascular Ultrasound Image Acquisition After Coronary Stent Deployment Facilitates On-Line Three-Dimensional Reconstruction and Automated Lumen Quantification

Abstract: ECG-gated image acquisition after coronary stent deployment is feasible, permits on-line automated 3D reconstruction and analysis and provides reliable and reproducible measurements; these factors facilitate detection of the minimal lumen site.

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Cited by 70 publications
(42 citation statements)
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“…The IVUS transducer was withdrawn through the stationary imaging sheath by an ECG-triggered pullback device with a stepping motor. 12 IVUS images coinciding with the peak of the R wave, which eliminates the artifacts caused by the movement of the heart during the cardiac cycle, were acquired. After each image acquisition, the transducer was withdrawn 0.2 mm to acquire the next image coincident with the R wave.…”
Section: Ivus Image Acquisition Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The IVUS transducer was withdrawn through the stationary imaging sheath by an ECG-triggered pullback device with a stepping motor. 12 IVUS images coinciding with the peak of the R wave, which eliminates the artifacts caused by the movement of the heart during the cardiac cycle, were acquired. After each image acquisition, the transducer was withdrawn 0.2 mm to acquire the next image coincident with the R wave.…”
Section: Ivus Image Acquisition Analysismentioning
confidence: 99%
“…After each image acquisition, the transducer was withdrawn 0.2 mm to acquire the next image coincident with the R wave. The ECG-gated image acquisition and digitization was performed by a workstation designed for the 3D reconstruction of echocardiographic images 12 (EchoScan, Tomtec). A Microsoft Windows-based contour detection program, developed at the Thoraxcenter, Rotterdam, was used for the automated 3D analysis of up to 200 IVUS images.…”
Section: Ivus Image Acquisition Analysismentioning
confidence: 99%
“…Despite the simplicity of some of the presented works [47]- [49], [53] encouraging results were produced, especially on images acquired with low-frequency transducers (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30). However, in reality, the border detection problem is more complex, especially when high-frequency transducers (above 40 MHz) are used due to intrinsic and extrinsic image artifacts (see Section I-G) as well as local and global variations among luminal and intimal grayscale distributions, demanding for more sophisticated methods.…”
Section: Statistical-and Probabilistic-based Techniquesmentioning
confidence: 97%
“…They later evaluated the performance of the segmentation by comparing to histological images [20]. The algorithm performance was further refined and correlation between manual and automated traced contours was improved from (r = 0.91) to (r = 0.98) by employing electrocardiogram (ECG)-gated images [21]. The main limitations were related to non-uniform transducer rotation and high curvature of the arterial vessel shape that created distortions in planar images.…”
Section: A Edge-tracking and Gradient-based Techniquesmentioning
confidence: 99%
“…[12][13][14][15] Of note, a low frame rate does not allow accurate detection of near end-diastolic frames and cannot be processed by the Intelligate algorithm. Therefore, IVUS data acquired with a 30-MHz catheter and attached to a Clearview console were retrospectively corrected before further analyses.…”
Section: Ivus Echogenicity Analysismentioning
confidence: 99%