Abstract

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.

Details

Title
Evaluation of 2D super-resolution ultrasound imaging of the rat renal vasculature using ex vivo micro-computed tomography
Author
Andersen, Sofie Bech 1 ; Taghavi Iman 2 ; Kjer, Hans Martin 3 ; Søgaard, Stinne Byrholdt 1 ; Gundlach Carsten 4 ; Dahl, Vedrana Andersen 3 ; Nielsen, Michael Bachmann 5 ; Dahl, Anders Bjorholm 3 ; Jensen, Jørgen Arendt 2 ; Sørensen, Charlotte Mehlin 6 

 University of Copenhagen, Department of Biomedical Sciences, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X); Rigshospitalet, Department of Radiology, Copenhagen, Denmark (GRID:grid.475435.4) 
 Technical University of Denmark, Center for Fast Ultrasound Imaging, Department of Health Technology, Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870) 
 Technical University of Denmark, Department of Applied Mathematics and Computer Science, Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870) 
 Technical University of Denmark, Department of Physics, Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870) 
 Rigshospitalet, Department of Radiology, Copenhagen, Denmark (GRID:grid.475435.4); University of Copenhagen, Department of Clinical Medicine, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
 University of Copenhagen, Department of Biomedical Sciences, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2612224781
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.