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Understanding Phase Contrast MR Angiography

Part of the SpringerBriefs in Electrical and Computer Engineering Book Series

DOI: 10.1007/978-3-319-25483-8

ISBN: 978-3-319-25481-4

Publisher: Springer International Publishing - Springer Journals

Dec 13, 2015

Available

Introduction to MR Imaging

Suresh Paul, Joseph; Gouri Raveendran, Subha

Pages: 1 –18

[This chapter provides a quick introduction to the basics of MRI, adequate for understanding of the terminology and concepts used in Phase-Contrast MR Angiography (PC-MRA). Chapter begins with a description of signal generation, followed by an explanation for the need of spatial encoding...
Available

Simulation Overview

Suresh Paul, Joseph; Gouri Raveendran, Subha

Pages: 19 –32

[MRI Simulator is based on numerical solution of the Bloch Equation. The numerical solution is obtained as a time update form of the magnetization vector. Parameters of this time update coefficients are shown to be related to the pulse sequence parameters and gradient amplitudes. The contents...
Available

Working Principle of PC-MRA with MATLAB Examples

Suresh Paul, Joseph; Gouri Raveendran, Subha

Pages: 33 –48

[This chapter summarizes the effects of flow in PC-MRI and introduces methods used to analyze and quantify flow. The chapter begins with a brief introduction to low flip angle GRE sequence and need for velocity encoding. Explanation of phase contrast techniques is provided based on the concept of...
Available

Numerical Simulation of PC-MRA

Suresh Paul, Joseph; Gouri Raveendran, Subha

Pages: 49 –70

[Quantitative evaluation of image processing algorithms for angiography images can only be approached using synthetic images, where the true geometry of vessels is known. This requires both simulation of flow and evolution of magnetization due to flow. The chapter begins with introduction of flow...
Available

Modeling of PC-MRA

Suresh Paul, Joseph; Gouri Raveendran, Subha

Pages: 71 –89

[This chapter highlights different post-processing techniques applied to PC-MRA speed images. Although vascular signals in PC-MRA have higher signal magnitudes as compared to background, presence of noise, eddy current and field inhomogeneities can interfere with useful information. This leads to...

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