An accurate analysis of fluid–structure interaction (FSI) at compliant arteries via ultrasound (US) imaging and numerical modeling is a limitation of several studies. In this study, we propose a deep learning-based boundary detection and compensation (DL-BDC) technique that can segment vessel boundaries by harnessing the convolutional neural network and wall motion compensation in near-wall flow dynamics. The segmentation performance of the technique is evaluated through numerical simulations with synthetic US images and in vitro experiments.

DOI Link: 
10.21227/14tk-9r41
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[1] Sang Joon Lee, "Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/14tk-9r41. Accessed: Oct. 09, 2024.
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doi = {10.21227/14tk-9r41},
url = {http://dx.doi.org/10.21227/14tk-9r41},
author = {Sang Joon Lee },
publisher = {IEEE Dataport},
title = {Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction},
year = {2019} }
TY - DATA
T1 - Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction
AU - Sang Joon Lee
PY - 2019
PB - IEEE Dataport
UR - 10.21227/14tk-9r41
ER -
Sang Joon Lee. (2019). Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction. IEEE Dataport. http://dx.doi.org/10.21227/14tk-9r41
Sang Joon Lee, 2019. Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction. Available at: http://dx.doi.org/10.21227/14tk-9r41.
Sang Joon Lee. (2019). "Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction." Web.
1. Sang Joon Lee. Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/14tk-9r41
Sang Joon Lee. "Deep learning-based boundary detection and compensation technique for the accurate flow measurement near the vessel wall and fluid–structure interaction." doi: 10.21227/14tk-9r41