Regularized image reconstruction in parallel MRI with MATLAB / (Record no. 72220)
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| fixed length control field | 04104cam a22005651i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781351029261 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220531132428.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m d |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191029s2019 flua o 000 0 eng d |
| 040 ## - Cataloging Source | |
| -- | OCoLC-P |
| -- | eng |
| -- | rda |
| -- | pn |
| -- | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351029247 |
| -- | (ePub ebook) : |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 135102924X |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351029254 |
| -- | (PDF ebook) : |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1351029258 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351029230 |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1351029231 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351029261 |
| -- | (ebook) : |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1351029266 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780815361473 (hbk.) |
| 024 7# - | |
| -- | 10.1201/9781351029261 |
| -- | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1127830069 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1127830069 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QC762.6.M34 |
| 072 #7 - | |
| -- | MED |
| -- | 009000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | SCI |
| -- | 055000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | TEC |
| -- | 015000 |
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| -- | PHVN |
| -- | bicssc |
| 082 04 - | |
| -- | 538.36 |
| -- | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Paul, Joseph Suresh, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Regularized image reconstruction in parallel MRI with MATLAB / |
| Statement of responsibility, etc. | Joseph Suresh Paul, Raji Susan Mathew. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st. |
| 264 #1 - | |
| -- | Boca Raton : |
| -- | CRC Press, |
| -- | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource : |
| Other physical details | illustrations (black and white) |
| 336 ## - | |
| -- | text |
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| 336 ## - | |
| -- | still image |
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| 337 ## - | |
| -- | computer |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | <P>Preface. Acknowledgement. Author Biography. Parallel MR image reconstruction. Regularization techniques for MR image reconstruction. Regularization parameter selection methods in parallel MR image reconstruction. Multi-filter calibration for autocalibrating parallel MRI. Parameter adaptation for wavelet regularization in parallel MRI. Parameter adaptation for total variation based regularization in parallel MRI. Combination of parallel magnetic resonance imaging and compressed sensing using L1-SPIRiT. Matrix completion methods. References. L MATLAB Codes.</P> |
| 520 ## - | |
| -- | Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples, or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful. |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Magnetic resonance imaging. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MEDICAL / Biotechnology |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE / Physics |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | TECHNOLOGY / Imaging Systems |
| Source of heading or term | bisacsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mathew, Raji Susan, |
| Relator term | author. |
| 856 40 - | |
| -- | Taylor & Francis |
| -- | https://www.taylorfrancis.com/books/9781351029261 |
| 856 42 - | |
| -- | OCLC metadata license agreement |
| -- | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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