研究目的
To address the challenges in current OCTE approaches that prevent accurate video rate modulus assessments in vivo, focusing on dynamic and static tissue properties, and to propose a novel approach for real-time imaging.
研究成果
Current OCTE approaches are not suitable for real-time in vivo imaging due to unaccounted dynamic and static tissue properties. The proposed novel approach, using amplitude-modulated ultrasound and frame alternation, effectively overcomes these challenges, enabling accurate video rate modulus assessments and holding promise for clinical applications like identifying high-risk plaques to prevent myocardial infarction.
研究不足
The paper focuses on tissue characteristics and does not address the design of the ultrasound-OCT catheter for in vivo use, which may require further optimization. Initial studies are planned in vitro, and the approach may need adjustments for different tissues or response times.
1:Experimental Design and Method Selection:
A top-down approach is used to design an OCTE system that accounts for dynamic and static tissue properties. The method involves using amplitude-modulated ultrasound for stress application and cross-correlation speckle tracking for strain measurement.
2:Sample Selection and Data Sources:
The study focuses on atherosclerotic tissues, particularly thin-capped fibroatheromas (TCFAs), with data derived from theoretical models and prior experimental work.
3:List of Experimental Equipment and Materials:
Includes an SS-OCT imaging system (Light lab C7-XR FD-OCT Intravascular Imaging System), a modified C7 Dragonfly Imaging Catheter, an arbitrary waveform generator (Tabor Electronics 8026), and an ENIA-500 power amplifier.
4:Experimental Procedures and Operational Workflow:
Ultrasound stress is applied with constant frequency, amplitude-modulated signals, changing amplitudes between frames (1st and 3rd frames) and measuring strain in alternate frames (2nd and 4th frames) to allow tissue strain to plateau. Synchronization is achieved via TTL signals.
5:Data Analysis Methods:
Speckle-based cross-correlation function is used for strain analysis, with a 21x21 pixel kernel window, and computation times are assessed for efficiency.
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