Understanding Phase Contrast MR Angiography [electronic resource] : A Practical Approach with MATLAB examples / by Joseph Suresh Paul, Subha GR.

Suresh Paul, Joseph [Browse]
1st ed. 2016.
Cham : Springer International Publishing : Imprint: Springer, 2016.
1 online resource (99 p.)


Summary note
Providing many unique MATLAB codes and functions throughout, this book covers the basics of Magnetic Resonance Imaging (MRI), leading to an in-depth understanding of the concepts and tools required for analysis and interpretation of Phase Contrast MR Angiography (PC-MRA). The concept of PC-MRA is often difficult, but essential for practicing engineers and scientists working in MR related areas. The concepts are better understood by uniquely combining the physical principles of fluid flow and MR imaging, laid out by modeling the theory and applications using a commonly used software tool MATLAB®. The book starts with a detailed theory of PC-MRA followed by a description of various image processing methods, including detailed MATLAB codes used for their implementation. The flow concepts in the context of MR imaging are explained using MATLAB based simulations.
Description based upon print version of record.
Bibliographic references
Includes bibliographical references at the end of each chapters.
Language note
  • Preface; Acknowledgments; Contents; 1 Introduction to MR Imaging; Abstract; 1.1 Magnetic Resonance Imaging; 1.2 MRI Physics; 1.2.1 Spin Physics; 1.2.2 RF Excitation; 1.2.3 Relaxation; 1.3 Signal Generation; 1.3.1 Spatial Encoding of MR Signal; 1.3.2 2D Imaging; 1.3.3 Small Tip Angle Approximation; 1.4 Phase Contrast Imaging; References; 2 Simulation Overview; Abstract; 2.1 Bloch Equation; 2.1.1 Solution of Bloch Equation; 2.1.2 Time Update Form of Bloch Equation; 2.2 Working Principle of MR Simulator; 2.2.1 Imaging Parameters and K-Space Generation
  • 2.3 Incorporation of T2* Effects in Gradient-Echo Imaging2.4 Incorporation of Susceptibility Effects; 2.4.1 Susceptibility Artifacts; References; 3 Working Principle of PC-MRA with MATLAB Examples; Abstract; 3.1 Gradient Echo Imaging; 3.2 Velocity Encoding; 3.3 Effects of Flow on the Image; 3.4 Phase Contrast Techniques; 3.5 Quantitative Flow Image Analysis; 3.5.1 Two-Point Method; 3.5.2 Simple Four Point Method; 3.5.3 Balanced Four Point Method; 3.5.4 Processing of Multi-channel PC-MRA; References; 4 Numerical Simulation of PC-MRA; Abstract; 4.1 Flow Phantom Model; 4.1.1 Masking Function
  • 4.2 Simulation of Magnetization Transport4.2.1 Lattice Boltzmann Method (LBM); 4.3 Simulation of MRI Signal Generation Using LBM and Bloch Equation; 4.3.1 Integration of LBM and Blochequation Simulation; 4.4 MRA Simulation Using Particle Trajectory Models; 4.5 Bloch Flow Equations; References; 5 Modeling of PC-MRA; Abstract; 5.1 An Overview of PC-MRA Modeling; 5.1.1 Partial Volume Effect; 5.2 Global Segmentation of Speed Images; 5.3 Initial Estimation of Mixture Parameters; 5.3.1 Iterated EM Algorithm; 5.3.2 Segmentation Using Local Phase Coherence; 5.3.3 Segmentation Using MRF Formulation
  • 5.4 Vascular Tree Construction5.4.1 Skeletonization; References; Appendix
  • 10.1007/978-3-319-25483-8
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