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Signal Processing Methods For Quantitative Power Doppler Microvascular Angiography, Mai H. Elfarnawany
Signal Processing Methods For Quantitative Power Doppler Microvascular Angiography, Mai H. Elfarnawany
Electronic Thesis and Dissertation Repository
Operator-dependent instrument settings and the likelihood of image artifacts are two challenges for reliably using three-dimensional (3-D) power Doppler angiography in flow depiction and quantification applications.
To address the operator-dependent settings challenge, an automated method for wall filter cut-off selection, the wall filter selection curve (WFSC) method, was developed using flow-phantom images. The flow-phantom WFSCs guided the development of a theoretical signal model relating color pixel density (CPD) and wall filter cut-off frequency. Simulations using the theoretical model were used to define criteria for the WFSC method to be applied to unprocessed power Doppler signals from 3-D vasculature. The adapted …