Statistical Analysis of Noise in MRI (Record no. 55888)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04497nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-39934-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111847.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160712s2016 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319399348 |
| -- | 978-3-319-39934-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 005.55 |
| 100 1# - AUTHOR NAME | |
| Author | Aja-Fern�andez, Santiago. |
| 245 10 - TITLE STATEMENT | |
| Title | Statistical Analysis of Noise in MRI |
| Sub Title | Modeling, Filtering and Estimation / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXI, 327 p. 172 illus., 99 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | The Problem of Noise in MRI -- Part I: Noise Models and the Noise Analysis Problem -- Acquisition and Reconstruction of Magnetic Resonance Imaging -- Statistical Noise Models for MRI -- Noise Analysis in MRI: Overview -- Noise Filtering in MRI -- Part II: Noise Analysis in Non-Accelerated Acquisitions -- Noise Estimation in the Complex Domain -- Noise Estimation in Single-Coil MR Data -- Noise Estimation in Multiple-Coil MR Data -- Parametric Noise Analysis from Correlated Multiple-Coil MR Data -- Part III: Noise Estimators in pMRI -- Parametric Noise Analysis in Parallel MRI -- Blind Estimation of Non-Stationary Noise in MRI -- Appendix A: Probability Distributions and Combination of Random Variables -- Appendix B: Variance Stabilizing Transformation -- Appendix C: Data Sets Used in the Experiments. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This unique text/reference presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques drawn from more than ten years of research in this area. Topics and features: Provides a complete framework for the modeling and analysis of noise in MRI, considering different modalities and acquisition techniques Describes noise and signal estimation for MRI from a statistical signal processing perspective Surveys the different methods to remove noise in MRI acquisitions, under different approaches and from a practical point of view Reviews different techniques for estimating noise from MRI data in single- and multiple-coil systems for fully sampled acquisitions Examines the issue of noise estimation when accelerated acquisitions are considered, and parallel imaging methods are used to reconstruct the signal Includes appendices covering probability density functions, combinations of random variables used to derive estimators, and useful MRI datasets This practically-focused work serves as a reference manual for researchers dealing with signal processing in MRI acquisitions, and is also suitable as a textbook for postgraduate students in engineering with an interest in medical image processing. Dr. Santiago Aja-Fern�andez is an Associate Professor at the School of Telecommunications of the University of Valladolid, Spain. His other publications include the Springer title Tensors in Image Processing and Computer Vision. Dr. Gonzalo Vegas-S�anchez-Ferrero is a Research Fellow at Brigham and Women's Hospital, and in the Applied Chest Imaging Laboratory of Harvard Medical School, Boston, MA, USA. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Vegas-S�anchez-Ferrero, Gonzalo. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-39934-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2016. |
| 336 ## - | |
| -- | text |
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| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biomedical engineering. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Probability and Statistics in Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Statistics for Life Sciences, Medicine, Health Sciences. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image Processing and Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Simulation and Modeling. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biomedical Engineering. |
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