Three-dimensional visualization and improved quantification with super-resolution ultrasound imaging - validation framework for analysis of microvascular morphology using a chicken embryo model.
Three-dimensional visualization and improved quantification with super-resolution ultrasound imaging - validation framework for analysis of microvascular morphology using a chicken embryo model.
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三维可视化和改进的超分辨率超声成像定量-鸡胚模型微血管形态分析的验证框架。
DOI：
10.1088/1361-6560/abf203
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发表时间：
2021-04-16
影响因子：
3.5
通讯作者：
Hoyt K
中科院分区：
文献类型：
--
作者：
Özdemir İ;Johnson K;Mohr-Allen S;Peak KE;Varner V;Hoyt K
本研究的目的是改善三维（3D）超分辨率超声（SR-US）图像中描绘的微血管网络的形态学分析。通过与匹配的明场显微镜和传统B型超声（US）图像进行比较，这得到了定性和定量验证的支持。使用临床前US扫描仪（Vevo 3100，FUJIFILM VisualSonics Inc.）配备MX250线性阵列换能器。将微泡（MB）造影剂注入发育中的鸡胚卵黄网络后进行CEUS成像。通过以90 μm步长增量在整个感兴趣组织体积中机械扫描US换能器来收集体积数据。在每个增量处收集CEUS图像，并存储为同相/正交数据（2000帧，每秒152帧）。使用已建立的数据处理方法为每个横截面创建SR-US图像。然后使用所有SR-US图像重建最终3D体积，用于血管直径（VD）定量和表面渲染。与匹配的明场显微镜图像相比，3D SR-US数据的VD定量显示出6.1% ± 6.0%的平均误差，而B型US图像的测量值的平均误差为77.1% ± 68.9%。3D空间中的体积和表面渲染能够进行定性验证，并改善了低于US系统轴向分辨率的小血管的可视化。总体而言，3D SR-US图像重建描绘了发育中的鸡胚胎的微血管网络。与B型超声测量相比，SR-US图像中孤立血管的可视化和微血管形态的量化得到了改善，实现了更高的准确性。
The purpose of this study was to improve the morphological analysis of microvascular networks depicted in three-dimensional (3D) super-resolution ultrasound (SR-US) images. This was supported by qualitative and quantitative validation by comparison to matched brightfield microscopy and traditional B-mode ultrasound (US) images. Contrast-enhanced US (CEUS) images were collected using a preclinical US scanner (Vevo 3100, FUJIFILM VisualSonics Inc.) equipped with an MX250 linear array transducer. CEUS imaging was performed after administration of a microbubble (MB) contrast agent into the vitelline network of a developing chicken embryo. Volume data was collected by mechanically scanning the US transducer throughout a tissue volume-of-interest in 90 μm step increments. CEUS images were collected at each increment and stored as in-phase/quadrature data (2000 frames at 152 frames per sec). SR-US images were created for each cross-sectional plane using established data processing methods. All SR-US images were then used to reconstruct a final 3D volume for vessel diameter (VD) quantification and for surface rendering. VD quantification from the 3D SR-US data exhibited an average error of 6.1% ± 6.0% when compared with matched brightfield microscopy images, whereas measurements from B-mode US images had an average error of 77.1% ± 68.9%. Volume and surface renderings in 3D space enabled qualitative validation and improved visualization of small vessels below the axial resolution of the US system. Overall, 3D SR-US image reconstructions depicted the microvascular network of the developing chicken embryos. Improved visualization of isolated vessels and quantification of microvascular morphology from SR-US images achieved a considerably greater accuracy compared to B-mode US measurements.
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DOI：
10.7863/jum.2010.29.4.577
发表时间：
2010-04
期刊：
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
影响因子：
--
作者：
Hoyt K;Warram JM;Umphrey H;Belt L;Lockhart ME;Robbin ML;Zinn KR
通讯作者：
Zinn KR
影响因子：
4.2
作者：
Hingot, Vincent;Errico, Claudia;Couture, Olivier
通讯作者：
Couture, Olivier
DOI：
10.7863/jum.2012.31.11.1759
发表时间：
2012-11
期刊：
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
影响因子：
--
作者：
Hoyt K;Sorace A;Saini R
通讯作者：
Saini R
影响因子：
2.9
作者：
Christensen-Jeffries K;Couture O;Dayton PA;Eldar YC;Hynynen K;Kiessling F;O'Reilly M;Pinton GF;Schmitz G;Tang MX;Tanter M;van Sloun RJG
通讯作者：
van Sloun RJG
影响因子：
4.6
作者：
Huang, Chengwu;Lowerison, Matthew R.;Chen, Shigao
通讯作者：
Chen, Shigao