05306nam 22007335 450 991025420040332120200706024244.03-319-25483-910.1007/978-3-319-25483-8(CKB)3710000000532710(EBL)4189341(SSID)ssj0001597463(PQKBManifestationID)16297333(PQKBTitleCode)TC0001597463(PQKBWorkID)14886312(PQKB)10984786(DE-He213)978-3-319-25483-8(MiAaPQ)EBC4189341(PPN)190882743(EXLCZ)99371000000053271020151212d2016 u| 0engur|n|---|||||txtccrUnderstanding Phase Contrast MR Angiography A Practical Approach with MATLAB examples /by Joseph Suresh Paul, Subha GR1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (99 p.)SpringerBriefs in Electrical and Computer Engineering,2191-8112Description based upon print version of record.3-319-25481-2 Includes bibliographical references at the end of each chapters.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 Generation2.3 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 Function4.2 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 Formulation5.4 Vascular Tree Construction5.4.1 Skeletonization; References; AppendixProviding 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.SpringerBriefs in Electrical and Computer Engineering,2191-8112Biomedical engineeringMedical physicsRadiationCardiac imagingBiomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XMedical and Radiation Physicshttps://scigraph.springernature.com/ontologies/product-market-codes/P27060Cardiac Imaginghttps://scigraph.springernature.com/ontologies/product-market-codes/H29071Biomedical engineering.Medical physics.Radiation.Cardiac imaging.Biomedical Engineering and Bioengineering.Medical and Radiation Physics.Cardiac Imaging.616.0754Suresh Paul Josephauthttp://id.loc.gov/vocabulary/relators/aut764147Subha GRauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254200403321Understanding Phase Contrast MR Angiography2525664UNINA04597nam 22006375 450 991029839100332120200707004337.094-007-7202-510.1007/978-94-007-7202-1(CKB)3710000000026038(EBL)1466373(OCoLC)861080752(SSID)ssj0001049224(PQKBManifestationID)11668858(PQKBTitleCode)TC0001049224(PQKBWorkID)11019296(PQKB)10085926(MiAaPQ)EBC1466373(DE-He213)978-94-007-7202-1(PPN)176128727(EXLCZ)99371000000002603820131001d2014 u| 0engur|n|---|||||txtccrKhazan Ecosystems of Goa Building on Indigenous Solutions to Cope with Global Environmental Change /by Sangeeta M. Sonak1st ed. 2014.Dordrecht :Springer Netherlands :Imprint: Springer,2014.1 online resource (145 p.)Advances in Asian Human-Environmental Research,1879-7180Description based upon print version of record.94-007-7201-7 Includes bibliographical references and index.Indigenous traditional knowledge and Global Environmental Change -- An introduction to Goa and Khazan ecosystems -- Traditional ecological knowledge and environmental sustainability in Khazan -- Management of khazan ecosystems: contested environments, competing interests and changing institutions -- Erosion of indigenous resource base: causes and challenges -- A framework for ecosystem performance, ecological vulnerability, ecosystem valuation and local livelihoods using Khazan example -- Building on indigenous resource management systems: key to finding solutions.This book elaborates on the Khazan ecosystems of Goa, India. Khazans are human-managed ecosystems, which are reclaimed from coastal wetlands, salt marshes and mangrove areas, where tidal influence is regulated through a highly structured system of dykes, canals, furrows, and sluice gates using resources that are amply available locally. Khazan ecosystems are marvels of tribal engineering. They are a simple architectural design, which operate at a very low running cost using tidal, hydro, and solar energy. The design contributes to a highly complex but eco-friendly ecosystem integrating agriculture, aquaculture and salt panning. .  Khazan ecosystems have been functional for the last 3500 years. The history of Khazans is very ancient and can be traced to the transition from food gathering to food growing, which has been regarded as the biggest step in the history of human civilization. Khazan ecosystems thus have a high historical and world heritage value. They are also repositories of global biodiversity, with unique flora suitable to their unique and highly variable environment. They are endemic and heritage ecosystems of Goa and ultimately reservoirs of history and heritage. Using the example of the Khazan lands, the book analyzes and comments on traditional ecological knowledge and indigenous technology. It presents the evolution of Khazan management institutions over a period of more than three thousand years, as well as factors that have contributed to its decline in recent years.  It develops a conceptual framework for ecosystem performance and suggests strategies for conservation of Khazans as well as strategies to build on these indigenous adaptation mechanisms to cope with the global  environmental change.Advances in Asian Human-Environmental Research,1879-7180Physical geographyCoastsSustainable developmentPhysical Geographyhttps://scigraph.springernature.com/ontologies/product-market-codes/J16000Coastal Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/G35020Sustainable Developmenthttps://scigraph.springernature.com/ontologies/product-market-codes/U34000Physical geography.Coasts.Sustainable development.Physical Geography.Coastal Sciences.Sustainable Development.338.927Sonak Sangeeta Mauthttp://id.loc.gov/vocabulary/relators/aut1063842BOOK9910298391003321Khazan Ecosystems of Goa2542190UNINA