Fast frame rate 2D cardiac deformation imaging based on RF data: What do we gain?
| Autor: | Shiying Wang, Patrick G. Rafter, Baptiste Blochet, Oudom Somphone, Sheng-Wen Huang, Lea Melki, Scott William Dianis, Eric Saloux, Francois Guy Gerard Marie Vignon |
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| Rok vydání: | 2017 |
| Předmět: |
genetic structures
Image quality Computer science business.industry Frame (networking) Frame rate 01 natural sciences Doppler imaging 030218 nuclear medicine & medical imaging 03 medical and health sciences Speckle pattern 0302 clinical medicine Signal-to-noise ratio (imaging) 0103 physical sciences Medical imaging Computer vision Artificial intelligence business 010301 acoustics Decorrelation |
| Zdroj: | 2017 IEEE International Ultrasonics Symposium (IUS). |
| DOI: | 10.1109/ultsym.2017.8092018 |
| Popis: | Fast acquisition sequences enable >200Hz 2D cardiac B-mode imaging with little compromise in image quality. Fast imaging minimizes frame to frame decorrelation, enabling RF-based tracking for enhanced signal-to-noise ratio (SNR) in motion and deformation imaging. Our objective was to evaluate the performance and hypothesize on the clinical usefulness of Fast RF-based Tracking (FRFT) in comparison with the established modalities of Tissue Doppler Imaging (TDI) and image-based speckle tracking (ST) at conventional frame rates. FRFT enables visualizing the mechanical waves propagating through the myocardium during valve closure. Improved tracking SNR promises a modality confidently displaying 2D regional strain rate. Further clutter suppression is required to improve success rate in all walls. |
| Databáze: | OpenAIRE |
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