Experimental dataset for deep learning based simultaneous measurement of flow-wall dynamics (DL-SFW)

Jun Hong Park & Sang Joon Lee
Several pathological phenomena are closely associated with mechanical properties of vessel and interactions of blood flow–wall dynamics. However, conventional techniques cannot easily measure these features. In this study, new deep learning-based simultaneous measurement of flow–wall dynamics (DL-SFW) is proposed by devising integrated neural network for super-resolved localization and vessel wall segmentation and combining with tissue motion measurement technique and flow velocimetry. The performance of DL-SFW is verified by comparing with conventional techniques for tissue-mimicking phantoms....
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