Regularized image reconstruction in parallel MRI with MATLAB / (Record no. 128080)

000 -LEADER
fixed length control field 04075cam a22005531i 4500
001 - CONTROL NUMBER
control field 9781351029261
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193014.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191029s2019 flua o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency 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
-- (Mobipocket ebook) :
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
Cancelled/invalid ISBN 9780815361473 (hbk.)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781351029261
Source of number or code 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 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 009000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 055000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 015000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PHVN
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 538.36
Edition number 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
-- rdacontent
336 ## -
-- still image
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
500 ## - GENERAL NOTE
General note

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.

520 ## - SUMMARY, ETC.
Summary, etc 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 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781351029261
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

No items available.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue