Department of Biomedical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
Department of Radiology, Rigshospitalet, 2100, Copenhagen, Denmark.
Sci Rep. 2021 Dec 21;11(1):24335. doi: 10.1038/s41598-021-03726-6.
Super-resolution ultrasound imaging (SRUS) enables in vivo microvascular imaging of deeper-lying tissues and organs, such as the kidneys or liver. The technique allows new insights into microvascular anatomy and physiology and the development of disease-related microvascular abnormalities. However, the microvascular anatomy is intricate and challenging to depict with the currently available imaging techniques, and validation of the microvascular structures of deeper-lying organs obtained with SRUS remains difficult. Our study aimed to directly compare the vascular anatomy in two in vivo 2D SRUS images of a Sprague-Dawley rat kidney with ex vivo μCT of the same kidney. Co-registering the SRUS images to the μCT volume revealed visually very similar vascular features of vessels ranging from ~ 100 to 1300 μm in diameter and illustrated a high level of vessel branching complexity captured in the 2D SRUS images. Additionally, it was shown that it is difficult to use μCT data of a whole rat kidney specimen to validate the super-resolution capability of our ultrasound scans, i.e., validating the actual microvasculature of the rat kidney. Lastly, by comparing the two imaging modalities, fundamental challenges for 2D SRUS were demonstrated, including the complexity of projecting a 3D vessel network into 2D. These challenges should be considered when interpreting clinical or preclinical SRUS data in future studies.
超分辨率超声成像(SRUS)能够对肾脏或肝脏等深层组织和器官进行活体微血管成像。该技术可以深入了解微血管解剖结构和生理学,以及与疾病相关的微血管异常的发展。然而,目前可用的成像技术对微血管解剖结构的描绘非常复杂,难以描绘,并且 SRUS 获得的深层器官的微血管结构的验证仍然具有挑战性。我们的研究旨在直接比较 Sprague-Dawley 大鼠肾脏的两个活体 2D SRUS 图像与同一肾脏的离体 μCT 的血管解剖结构。将 SRUS 图像与 μCT 容积配准显示出直径在 100 至 1300μm 之间的血管的视觉上非常相似的血管特征,并说明了在 2D SRUS 图像中捕获的高分支血管复杂性。此外,还表明,使用整个大鼠肾脏标本的 μCT 数据很难验证我们的超声扫描的超分辨率能力,即验证大鼠肾脏的实际微血管结构。最后,通过比较两种成像方式,展示了 2D SRUS 的基本挑战,包括将 3D 血管网络投影到 2D 中的复杂性。在未来的研究中解释临床或临床前 SRUS 数据时,应考虑这些挑战。