![]() (f) Elasticity-to-viscosity ratio image, R p( x, y), of the silicone tube encoded using HSV color space (hue, elasticity-to-viscosity ratio value, intensity). (e) Quality-factor image, Q p( x, y), of the silicone tube encoded using HSV color space (hue, quality factor value, intensity). (d) Peak-frequency image, ω p( x, y), of the silicone tube encoded using HSV color space (hue, peak frequency value, intensity). (c) Intensity image, I( x, y), of the silicone tube. (b) Conventional photoacoustic image of the silicone tube. (a) Silicone tube with an inner diameter of 0.8 mm and an outer diameter of 1.9 mm, filled with black ink and containing two pieces of glass capillary tube with a diameter of 0.5 mm inserted inside. Our study has potential biomedical value for the assessment of diseases resulting from the development of microelastomers. ![]() Both numerical simulations and phantom experiments validate the suitability of our proposed method, even with interference from inelastic optical absorbers. Then, the elastogram of microelastomers in the region of interest is reconstructed and includes the intensity image, peak-frequency image, quality-factor image, and elasticity-to-viscosity ratio image. These individual images collectively form multispectral images, effectively displaying elastic features at their respective frequencies. Each wavelet basis corresponds to a distinct frequency, enabling the wavelet transformation of the photoacoustic signals and their synthesis to generate frequency-specific images. ![]() Our proposed method utilizes a causal damped wavelet to enhance and decompose the eigenvibro signals. The eigenvibro signals contain elastic information. After illumination with a pulsed laser, a light-absorbing elastomer vibrates and emits damped ultrasound waves, i.e., eigenvibro signals, in a short time. Here, we propose photoacoustic multiacoustic spectral elastography based on the photoacoustic oscillation effect. However, elastography of microelastomers is still limited to superficial tissues. ![]() The detection of microelastomers in deep tissue has significant biomedical value. ![]()
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