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000796148 019__ $$a993056712
000796148 020__ $$a9789811046360$$q(electronic book)
000796148 020__ $$a9811046360$$q(electronic book)
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000796148 020__ $$z9811046352
000796148 035__ $$aSP(OCoLC)ocn992988927
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000796148 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dEBLCP$$dGW5XE$$dYDX$$dOCLCF$$dNJR$$dUAB
000796148 049__ $$aISEA
000796148 050_4 $$aRC78.7.D53
000796148 08204 $$a616.0754$$223
000796148 1001_ $$aGunjan, Vinit Kumar,$$eauthor.
000796148 24510 $$aComputational methods in molecular imaging technologies /$$cVinit Kumar Gunjan, Fahimuddin Shaik, C. Venkatesh, M. Amarnath.
000796148 264_1 $$aSingapore :$$bSpringer,$$c[2017]
000796148 300__ $$a1 online resource.
000796148 336__ $$atext$$btxt$$2rdacontent
000796148 337__ $$acomputer$$bc$$2rdamedia
000796148 338__ $$aonline resource$$bcr$$2rdacarrier
000796148 4901_ $$aSpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics
000796148 504__ $$aIncludes bibliographical references.
000796148 5050_ $$aPreface; Acknowledgements; Contents; About the Authors; Abstract; 1 Introduction; 1.1 Introduction to Medical Imaging; 1.2 Medical Imaging Overview; 1.3 Molecular Imaging and Its Modalities; 1.4 Medical Image Reconstruction; 1.5 Types of Image Reconstruction; 2 Artifacts Correction in MRI Images; 2.1 Existing Methods; 2.1.1 Disadvantages of Ultra-echo Time Imaging (UTE); 2.1.2 Disadvantages of Sweep Imaging with Fourier Transform; 2.1.3 Disadvantages of Water- and Fat-suppressed Proton Projection MRI; 2.1.4 Disadvantages of ZTE Imaging Without Excitation Profile; 2.2 Implemented Method
000796148 5058_ $$a2.3 Process Diagram2.4 Model as an Inverse Problem; 2.5 NUFFT Operator; 2.5.1 Features of NUFFT; 2.5.2 Non-uniform FFT Algorithm; 2.6 Quadratic Phase-Modulated RF Pulse Excitation; 2.6.1 Hard RF Phase Modulation; 2.7 Excitation Profile Measurement; 2.8 Pointwise Encoding Time Reduction with Radial Acquisition (PETRA); 2.9 Iterative Partial K-Space Reconstruction; 2.10 Processing of Project; 2.11 Flow Diagram; 3 Spiral Cone-Beam CT Reconstruction; 3.1 CT Reconstruction Using the Medical Phantom Image; 3.1.1 Assessment of Image Quality of the CT Medical Phantom Image Before Reconstruction
000796148 5058_ $$a3.1.2 Assesment of the Image Quality of Cone-Beam Phantom After Image Reconstruction3.2 CT Reconstruction of the Hand Section of the Human Body; 3.2.1 Assesment of the Image Quality of CT Hand Section Before Reconstruction; 3.2.2 Assesment of the Image Quality of Cone-Beam CT Hand Section After Reconstruction; 3.3 CT Reconstruction of the Head Section of the Human Body; 3.3.1 Assesment of the Image Quality of the CT Head Section Before Reconstruction; 3.3.2 Assesment of the Image Quality of the Cone-Beam CT Head Section After Reconstruction; 3.4 Quantization of the Artifacts
000796148 5058_ $$a3.4.1 Assessment of Image Resolution and Noise Quantization of the Artifacts3.4.1.1 Factors Affecting the Assessment of Image Resolution and Noise Quantization of the Artifacts; 3.4.1.2 Image Quality Metrics; 3.4.1.3 Computational Efficiency Measurement; 4 Visual Quality Improvement of CT Image Reconstruction with Quantitative Measures; 4.1 Existing System; 4.1.1 Background; 4.1.2 Criterion for Filtering Edge Information; 4.2 Proposed Algorithms; 4.2.1 Model Specification; 4.2.2 Boundary-Edge Correspondence; 4.2.3 Local Intensity Clustering Property; 4.2.4 Energy Formulation
000796148 5058_ $$a4.2.5 Multiphase Level Set Formulation4.3 Block Diagram; 4.4 Back Projection; 4.5 Filtered Back Projection (FBP) Reconstruction; 4.6 Discrete Direct Back Projection; 4.7 Data Acquisition; 4.8 Iterative Reconstruction Algorithm; 4.9 Histogram Processing; 4.10 Bias Field; 4.11 Experimental Findings; 4.11.1 Assesment of the Image Statistics of Before Image Reconstruction of CT Knee Bone; 4.11.2 Assesment of the Image Statistics of After Image Reconstruction of CT Knee Bone; 4.12 Computational Efficiency Comparison; Bibliography
000796148 506__ $$aAccess limited to authorized users.
000796148 520__ $$aThis book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.
000796148 588__ $$aOnline resource; title from PDF title page (viewed July 13, 2017).
000796148 650_0 $$aDiagnostic imaging.
000796148 650_0 $$aImaging systems in medicine.
000796148 650_0 $$aComputational intelligence.
000796148 650_0 $$aComputational biology.
000796148 7001_ $$aShaik, Fahimuddin,$$eauthor.
000796148 7001_ $$aVenkatesh, Chethan,$$eauthor.
000796148 7001_ $$aAmarnath, M.,$$eauthor.
000796148 77608 $$iPrint version:$$z9789811046353$$z9811046352$$w(OCoLC)981117486
000796148 830_0 $$aSpringerBriefs in applied sciences and technology.$$pForensic and medical bioinformatics.
000796148 852__ $$bebk
000796148 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-4636-0$$zOnline Access$$91397441.1
000796148 909CO $$ooai:library.usi.edu:796148$$pGLOBAL_SET
000796148 980__ $$aEBOOK
000796148 980__ $$aBIB
000796148 982__ $$aEbook
000796148 983__ $$aOnline
000796148 994__ $$a92$$bISE