Computational methods in molecular imaging technologies

This 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...

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Bibliographic Details
Main Authors: Gunjan, Vinit Kumar, (Author), Shaik, Fahimuddin, (Author), Venkatesh, Chethan, (Author), Amarnath, M., (Author)
Format: eBook
Language: English
Published: Singapore : Springer, [2017]
Series: SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics.
Subjects:
Diagnostic imaging.
Imaging systems in medicine.
Computational intelligence.
Computational biology.
elektronické knihy
electronic books
ISBN: 9789811046360
9789811046353
Physical Description: 1 online resource

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100 1 |a Gunjan, Vinit Kumar,  |e author. 
245 1 0 |a Computational methods in molecular imaging technologies /  |c Vinit Kumar Gunjan, Fahimuddin Shaik, C. Venkatesh, M. Amarnath. 
264 1 |a Singapore :  |b Springer,  |c [2017] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics 
504 |a Includes bibliographical references. 
505 0 |a Preface; 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. 
505 8 |a 2.3 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. 
505 8 |a 3.1.2 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. 
505 8 |a 3.4.1 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. 
505 8 |a 4.2.5 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Diagnostic imaging. 
650 0 |a Imaging systems in medicine. 
650 0 |a Computational intelligence. 
650 0 |a Computational biology. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Shaik, Fahimuddin,  |e author. 
700 1 |a Venkatesh, Chethan,  |e author. 
700 1 |a Amarnath, M.,  |e author. 
776 0 8 |i Print version:  |a Gunjan, Vinit Kumar.  |t Computational methods in molecular imaging technologies.  |d Singapore : Springer, [2017]  |z 9789811046353  |z 9811046352  |w (OCoLC)981117486 
830 0 |a SpringerBriefs in applied sciences and technology.  |p Forensic and medical bioinformatics. 
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