Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array.
Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array.
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在256个通道Verasonics超声系统上,具有基于双分的微泡配对和基于Kalman滤光的跟踪具有三维超声定位显微镜,具有32×32矩阵阵列。
DOI:
10.1007/s40846-022-00755-y
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发表时间:
2022-12
影响因子:
2
通讯作者:
Chen, Shigao
中科院分区:
文献类型:
--
作者:
Lok, U-Wai;Huang, Chengwu;Trzasko, Joshua D.;Kim, Yohan;Lucien, Fabrice;Tang, Shanshan;Gong, Ping;Song, Pengfei;Chen, Shigao
Three-dimensional (3D) ultrasound localization microscopy (ULM) using a 2-D matrix probe and microbubbles (MBs) has been recently proposed to visualize microvasculature beyond the ultrasound diffraction limit in three spatial dimensions. However, 3D ULM suffers from several limitations: (1) high system complexity due to numerous channel counts, (2) complex MB flow dynamics in 3D, and (3) extremely long acquisition time. To reduce the system complexity while maintaining high image quality, we used a sub-aperture process to reduce received channel counts. To address the second issue, a 3D bipartite graph-based method with Kalman filtering-based tracking was used in this study for MB tracking. An MB separation approach was incorporated to separate high concentration MB data into multiple, sparser MB datasets, allowing better MB localization and tracking for a limited acquisition time. The proposed method was first validated in a flow channel phantom, showing improved spatial resolutions compared with the contrasted enhanced power Doppler image. Then the proposed method was evaluated with an in vivo chicken embryo brain dataset. Results showed that the reconstructed 3D super-resolution image achieved a spatial resolution of around 52 μm (smaller than the wavelength of around 200 μm). Microvessels that cannot be resolved clearly using localization only, can be well identified with the tailored 3D pairing and tracking algorithms. To sum up, the feasibility of the 3D ULM is shown, indicating the great possibility in clinical applications.
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影响因子:
1.4
作者:
Brown KG;Waggener SC;Redfern AD;Hoyt K
通讯作者:
Hoyt K
影响因子:
10.6
作者:
Demene, Charlie;Deffieux, Thomas;Tanter, Mickael
通讯作者:
Tanter, Mickael
DOI:
10.1109/tuffc.2019.2918180
发表时间:
2019-08-01
影响因子:
3.6
作者:
Huang, Chengwu;Song, Pengfei;Chen, Shigao
通讯作者:
Chen, Shigao
影响因子:
3.5
作者:
Lok UW;Huang C;Gong P;Tang S;Yang L;Zhang W;Kim Y;Korfiatis P;Blezek DJ;Lucien F;Zheng R;Trzasko JD;Chen S
通讯作者:
Chen S
影响因子:
4.6
作者:
Chavignon, Arthur;Heiles, Baptiste;Couture, Olivier
通讯作者:
Couture, Olivier