Cerebrovascular and cardiovascular diseases such as stroke and coronary artery disease show a significant number of cases with a high mortality rate. Early detection of risk factors is important to prevent cerebrovascular and cardiovascular diseases. Measurements of carotid artery stenosis, blood flow rate, and the wall thickness of vessels by 2D and Doppler mode ultrasound are preferred choices due to advantages of their easy access, non-invasiveness, and safety. However, the current ultrasound imaging system with handheld type probes is not suitable for continuous monitoring and imaging, and the manual measurement is required by qualified personnel at a given time interval. Therefore, it is not an ideal solution for collecting continuous time-series data. We developed a 32-element, patch-type linear array transducer with a small footprint of 11.73 mm x 8 mm, which is an acceptable size to be attached over the carotid artery in the neck area. We evaluated the performance of the developed array transducer using the pulse-echo system and obtained its representative center frequency of 4.5 MHz, bandwidth (-6 dB) 64%, and sensitivity -47 dB. We also implemented a compact tabletop ultrasound system capable of 2D-mode real-time imaging of carotid artery and Doppler measurement of blood flow. In addition, with the tissue-mimicking phantom, we evaluated the performance of the developed system by collecting 2D images and Doppler spectrogram. The -6 dB lateral resolutions of the ultrasound system were 0.76, 0.61, and 1.33 mm at 15, 25, and 35 mm, respectively, and the peak velocity of the Doppler signal was close to 100 cm/s.
Because cholesterol crystals (Chcs) are a major cause of atherosclerosis, imaging Chcs in tissues with high sensitivity and specificity is important in diagnosing and predicting atherosclerosis. Polarizing microscopy (PM) has been widely used to image crystalline materials in tissues, but it has been difficult to distinguish Chcs from other crystalline materials in tissues. Thus, various methods such as fluorescent dye staining, Raman spectroscopy, and two-photon microscopy (TPM) have been developed to image Chcs with high sensitivity and specificity. However, these methods require expensive equipment or complex processes. Therefore, we have developed a low-cost, easy-to-use PM system using an LED light source that can distinguish Chcs from other crystalline materials with high sensitivity and specificity. Due to the nature of the LED spectrum in our system, collagen is displayed in yellow and Chcs in blue. In addition, we have improved the sensitivity and specificity by creating an aqueous condition on the sample. In the aqueous state, signals of yellowish collagen fibers were reduced and signals of Chcs were highlighted. The Chcs detection capability of our system was verified compared with the TPM image. In addition, clinical feasibility was shown by comparison with existing histological methods.
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