Print Email Facebook Twitter Two-Dimensional Blood Flow Estimation in the Brain with Ultrafast Ultrasound Title Two-Dimensional Blood Flow Estimation in the Brain with Ultrafast Ultrasound Author Kumar, Karishma (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Leus, Geert (mentor) Kruizinga, Pieter (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Circuits and Systems Date 2020-01-22 Abstract Detailed imaging of blood flow may improve the understanding of brain functions. The state-of-the-art non-invasive flow imaging of the brain is limited to a one-dimensional Doppler setting. We propose a method to estimate the two-dimensional flow vector in the fine vascular network of the brain by using a speckle tracking technique. The framework of Orthogonal Matching Pursuit is used for speckle tracking and modified to include prior constraints to guide the matching process among two frames, called as Guided Orthogonal Matching Pursuit. Prior constraint is in the form of a directional constraint which determines the probability of vector flow in all the directions according to the orientation of the vessels. The orientation of the vessels is computed using Power Doppler Imaging. In this work, the proposed method for two-dimensional vector estimation is compared with the standard block matching technique of Normalized Cross-Correlation. We see that the variance of the final velocity estimates has reduced when compared to the standard speckle tracking method and the direction of blood flow is found within the curvature of the vessel. Subject Ultrafast ultrasoundblood flowspeckle trackingNormalized Cross CorrelationOrthogonal Matching Pursuit Algorithm To reference this document use: http://resolver.tudelft.nl/uuid:cc96257c-257c-44ca-9ca8-2a9909c8a08d Part of collection Student theses Document type master thesis Rights © 2020 Karishma Kumar Files PDF MSc_Template_7_.pdf 4.64 MB Close viewer /islandora/object/uuid:cc96257c-257c-44ca-9ca8-2a9909c8a08d/datastream/OBJ/view