ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2019
Improved Visualization in Difficult-to-Image Stress Echocardiography Patients Using Real-Time Harmonic Spatial Coherence Imaging.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Spatial Coherence in Medical Ultrasound: A Review.Ultrasound in medicine & biology · 2022Review
- Reverberation Clutter Suppression Using 2-D Spatial Coherence Analysis.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network.IEEE transactions on medical imaging · 2021Article
- Blood Flow Imaging in the Neonatal Brain Using Angular Coherence Power Doppler.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- CohereNet: A Deep Learning Architecture for Ultrasound Spatial Correlation Estimation and Coherence-Based Beamforming.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020Article
- Incoherent Clutter Suppression Using Lag-One Coherence.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020Article
- GPU implementation of photoacoustic short-lag spatial coherence imaging for improved image-guided interventions.Journal of biomedical optics · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Stress echocardiography is used to detect myocardial ischemia by evaluating cardiovascular function both at rest and at elevated heart rates. Stress echocardiography requires excellent visualization of the left ventricle (LV) throughout the cardiac cycle. However, LV endocardial border visualization is often negatively impacted by high levels of clutter associated with patient obesity, which has risen dramatically worldwide in recent decades. Short-lag spatial coherence (SLSC) imaging has demonstrated reduced clutter in several applications. In this work, a computationally efficient formulation of SLSC was implemented into an object-oriented graphics processing unit-based software beamformer, enabling real-time (>30 frames per second) SLSC echocardiography on a research ultrasound scanner. The system was then used to image 15 difficult-to-image stress echocardiography patients in a comparison study of tissue harmonic imaging (THI) and harmonic spatial coherence imaging (HSCI). Video clips of four standard stress echocardiography views acquired with either THI or HSCI were provided in random shuffled order to three experienced readers. Each reader rated the visibility of 17 LV segments as "invisible," "suboptimally visualized," or "well visualized," with the first two categories indicating a need for contrast agent. In a symmetry test unadjusted for patientwise clustering, HSCI demonstrated a clear superiority over THI ( ). When measured on a per-patient basis, the median total score significantly favored HSCI with . When collapsing the ratings to a two-level scale ("needs contrast" versus "well visualized"), HSCI once again showed an overall superiority over THI, with by McNemar test adjusted for clustering.
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