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

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...

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Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 67(2020), 8 vom: 21. Aug., Seite 1725-1729
1. Verfasser: Chen, Qiyang (VerfasserIn)
Weitere Verfasser: Yu, Jaesok, Lukashova, Lyudmila, Latoche, Joseph D, Zhu, Jianhui, Lavery, Linda, Verdelis, Konstantinos, Anderson, Carolyn J, Kim, Kang
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Schlagworte:Journal Article Research Support, N.I.H., Extramural
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520 |a 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 
650 4 |a Journal Article 
650 4 |a Research Support, N.I.H., Extramural 
700 1 |a Yu, Jaesok  |e verfasserin  |4 aut 
700 1 |a Lukashova, Lyudmila  |e verfasserin  |4 aut 
700 1 |a Latoche, Joseph D  |e verfasserin  |4 aut 
700 1 |a Zhu, Jianhui  |e verfasserin  |4 aut 
700 1 |a Lavery, Linda  |e verfasserin  |4 aut 
700 1 |a Verdelis, Konstantinos  |e verfasserin  |4 aut 
700 1 |a Anderson, Carolyn J  |e verfasserin  |4 aut 
700 1 |a Kim, Kang  |e verfasserin  |4 aut 
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