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超声超分辨成像技术在兔动脉粥样硬化斑块中血管周腔的验证。

Validation of Ultrasound Super-Resolution Imaging of Vasa Vasorum in Rabbit Atherosclerotic Plaques.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Aug;67(8):1725-1729. doi: 10.1109/TUFFC.2020.2974747. Epub 2020 Feb 18.

Abstract

Acute coronary syndromes and strokes are mainly caused by atherosclerotic plaque (AP) rupture. Abnormal increase of vasa vasorum (VV) is reported as a key evidence of plaque progression and vulnerability. However, due to their tiny size, it is still challenging to noninvasively identify VV near the major vessels. Ultrasound super resolution (USR), a technique that provides high spatial resolution beyond the acoustic diffraction limit, demonstrated an adequate spatial resolution for VV detection in early studies. However, a thorough validation of this technology in the plaque model is particularly needed in order to continue further extended preclinical studies. In this letter, we present an experiment protocol that verifies the USR technology for VV identification with subsequent histology and ex vivo micro-computed tomography ( μ CT). Deconvolution-based USR imaging was applied on two rabbits to identify the VV near the AP in the femoral artery. Histology and ex vivo μ CT imaging were performed on excised femoral tissue to validate the USR technique both pathologically and morphologically. This established validation protocol could facilitate future extended preclinical studies toward the clinical translation of USR imaging for VV identification.

摘要

急性冠状动脉综合征和中风主要是由动脉粥样硬化斑块(AP)破裂引起的。血管外空间(VV)的异常增加被认为是斑块进展和脆弱性的关键证据。然而,由于其体积微小,仍然难以无创地识别主要血管附近的 VV。超声超分辨率(USR)是一种提供超越声衍射极限的高空间分辨率的技术,在早期研究中显示出足够的 VV 检测空间分辨率。然而,为了继续进行进一步的临床前研究,特别需要在斑块模型中对这项技术进行全面验证。在这封信中,我们提出了一个实验方案,通过随后的组织学和离体微计算机断层扫描(μ CT)来验证 USR 技术用于 VV 识别。基于反卷积的 USR 成像应用于两只兔子,以识别股动脉中 AP 附近的 VV。对切除的股组织进行组织学和离体 μ CT 成像,从病理和形态学上验证 USR 技术。这个已建立的验证方案可以促进未来的临床前研究向 USR 成像用于 VV 识别的临床转化。

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