Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Bhabesh Deka,Sumit Datta
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms Book PDF

Author : Bhabesh Deka,Sumit Datta
Publisher : Springer
Page : 122 pages
File Size : 42,6 Mb
Release : 2018-12-29
Category : Technology & Engineering
ISBN : 9789811335976

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms by Bhabesh Deka,Sumit Datta Pdf

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need for the CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio- and Neuro-informatics applications.

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Sumit Datta
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms Book PDF

Author : Sumit Datta
Publisher : Unknown
Page : 133 pages
File Size : 47,7 Mb
Release : 2019
Category : Compressed sensing (Telecommunication)
ISBN : 9811335982

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms by Sumit Datta Pdf

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need for the CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio- and Neuro-informatics applications.

Compressed Sensing for Magnetic Resonance Image Reconstruction

Angshul Majumdar
Compressed Sensing for Magnetic Resonance Image Reconstruction Book PDF

Author : Angshul Majumdar
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2024-07-04
Category : Algorithms
ISBN : 1316675181

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Compressed Sensing for Magnetic Resonance Image Reconstruction by Angshul Majumdar Pdf

Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers.

MRI

Angshul Majumdar,Rabab Kreidieh Ward
MRI Book PDF

Author : Angshul Majumdar,Rabab Kreidieh Ward
Publisher : CRC Press
Page : 222 pages
File Size : 41,9 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781482298895

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MRI by Angshul Majumdar,Rabab Kreidieh Ward Pdf

The field of magnetic resonance imaging (MRI) has developed rapidly over the past decade, benefiting greatly from the newly developed framework of compressed sensing and its ability to drastically reduce MRI scan times. MRI: Physics, Image Reconstruction, and Analysis presents the latest research in MRI technology, emphasizing compressed sensing-based image reconstruction techniques. The book begins with a succinct introduction to the principles of MRI and then: Discusses the technology and applications of T1rho MRI Details the recovery of highly sampled functional MRIs Explains sparsity-based techniques for quantitative MRIs Describes multi-coil parallel MRI reconstruction techniques Examines off-line techniques in dynamic MRI reconstruction Explores advances in brain connectivity analysis using diffusion and functional MRIs Featuring chapters authored by field experts, MRI: Physics, Image Reconstruction, and Analysis delivers an authoritative and cutting-edge treatment of MRI reconstruction techniques. The book provides engineers, physicists, and graduate students with a comprehensive look at the state of the art of MRI.

Magnetic Resonance Image Reconstruction

Mehmet Akcakaya,Mariya Ivanova Doneva,Claudia Prieto
Magnetic Resonance Image Reconstruction Book PDF

Author : Mehmet Akcakaya,Mariya Ivanova Doneva,Claudia Prieto
Publisher : Academic Press
Page : 518 pages
File Size : 55,7 Mb
Release : 2022-11-04
Category : Science
ISBN : 9780128227466

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Magnetic Resonance Image Reconstruction by Mehmet Akcakaya,Mariya Ivanova Doneva,Claudia Prieto Pdf

Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI. Explains the underlying principles of MRI reconstruction, along with the latest research“/li> Gives example codes for some of the methods presented Includes updates on the latest developments, including compressed sensing, tensor-based reconstruction and machine learning based reconstruction

Advances in Electronics, Communication and Computing

Akhtar Kalam,Swagatam Das,Kalpana Sharma
Advances in Electronics Communication and Computing Book PDF

Author : Akhtar Kalam,Swagatam Das,Kalpana Sharma
Publisher : Springer
Page : 808 pages
File Size : 43,8 Mb
Release : 2017-10-27
Category : Technology & Engineering
ISBN : 9789811047657

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Advances in Electronics, Communication and Computing by Akhtar Kalam,Swagatam Das,Kalpana Sharma Pdf

This book is a compilation of research work in the interdisciplinary areas of electronics, communication, and computing. This book is specifically targeted at students, research scholars and academicians. The book covers the different approaches and techniques for specific applications, such as particle-swarm optimization, Otsu’s function and harmony search optimization algorithm, triple gate silicon on insulator (SOI)MOSFET, micro-Raman and Fourier Transform Infrared Spectroscopy (FTIR) analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, Ground-penetrating radar (GPR) with conducting surfaces, and digital image forgery detection. The contents of the book will be useful to academic and professional researchers alike.

Nano-Optics: Principles Enabling Basic Research and Applications

Baldassare Di Bartolo,John Collins,Luciano Silvestri
Nano Optics Principles Enabling Basic Research and Applications Book PDF

Author : Baldassare Di Bartolo,John Collins,Luciano Silvestri
Publisher : Springer
Page : 584 pages
File Size : 43,8 Mb
Release : 2017-02-15
Category : Science
ISBN : 9789402408508

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Nano-Optics: Principles Enabling Basic Research and Applications by Baldassare Di Bartolo,John Collins,Luciano Silvestri Pdf

This book provides a comprehensive overview of nano-optics, including basic theory, experiment and applications, particularly in nanofabrication and optical characterization. The contributions clearly demonstrate how advances in nano-optics and photonics have stimulated progress in nanoscience and -fabrication, and vice versa. Their expert authors address topics such as three-dimensional optical lithography and microscopy beyond the Abbe diffraction limit, optical diagnostics and sensing, optical data- and telecommunications, energy-efficient lighting, and efficient solar energy conversion. Nano-optics emerges as a key enabling technology of the 21st century. This work will appeal to a wide readership, from physics through chemistry, to biology and engineering. The contributions that appear in this volume were presented at a NATO Advanced Study Institute held in Erice, 4-19 July, 2015. Re Ch. 73 - Structure and Luminescence Properties of Nanofluorapatite Activated with Eu3+ Ions Synthesized by Hydrothermal Method, pp 567-569: The authors would like to acknowledge the National Science Centre (NSC) for financial support within the Project ‘Preparation and characterization of nanoapatites doped with rare earth ions and their biocomposites’ UMO-2012/05/E/ST5/03904

Compressed Sensing for Magnetic Resonance Image Reconstruction

Angshul Majumdar
Compressed Sensing for Magnetic Resonance Image Reconstruction Book PDF

Author : Angshul Majumdar
Publisher : Cambridge University Press
Page : 227 pages
File Size : 45,7 Mb
Release : 2015-02-26
Category : Computers
ISBN : 9781107103764

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Compressed Sensing for Magnetic Resonance Image Reconstruction by Angshul Majumdar Pdf

"Discusses different ways to use existing mathematical techniques to solve compressed sensing problems"--Provided by publisher.

Regularized Image Reconstruction in Parallel MRI with MATLAB

Joseph Suresh Paul,Raji Susan Mathew
Regularized Image Reconstruction in Parallel MRI with MATLAB Book PDF

Author : Joseph Suresh Paul,Raji Susan Mathew
Publisher : CRC Press
Page : 306 pages
File Size : 41,5 Mb
Release : 2019-11-05
Category : Medical
ISBN : 9781351029254

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Regularized Image Reconstruction in Parallel MRI with MATLAB by Joseph Suresh Paul,Raji Susan Mathew Pdf

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.

Reconstruction-Free Compressive Vision for Surveillance Applications

Henry Braun,Pavan Turaga,Andreas Spanias,Sameeksha Katoch,Suren Jayasuriya,Cihan Tepedelenlioglu
Reconstruction Free Compressive Vision for Surveillance Applications Book PDF

Author : Henry Braun,Pavan Turaga,Andreas Spanias,Sameeksha Katoch,Suren Jayasuriya,Cihan Tepedelenlioglu
Publisher : Morgan & Claypool Publishers
Page : 102 pages
File Size : 40,6 Mb
Release : 2019-05-02
Category : Technology & Engineering
ISBN : 9781681735559

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Reconstruction-Free Compressive Vision for Surveillance Applications by Henry Braun,Pavan Turaga,Andreas Spanias,Sameeksha Katoch,Suren Jayasuriya,Cihan Tepedelenlioglu Pdf

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading.

Medical Image Reconstruction

Gengsheng Zeng
Medical Image Reconstruction Book PDF

Author : Gengsheng Zeng
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 40,9 Mb
Release : 2010-12-28
Category : Technology & Engineering
ISBN : 9783642053689

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Medical Image Reconstruction by Gengsheng Zeng Pdf

"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l0-minimization are also included. This book is written for engineers and researchers in the field of biomedical engineering specializing in medical imaging and image processing with image reconstruction. Gengsheng Lawrence Zeng is an expert in the development of medical image reconstruction algorithms and is a professor at the Department of Radiology, University of Utah, Salt Lake City, Utah, USA.

Machine Learning for Medical Image Reconstruction

Nandinee Haq,Patricia Johnson,Andreas Maier,Tobias Würfl,Jaejun Yoo
Machine Learning for Medical Image Reconstruction Book PDF

Author : Nandinee Haq,Patricia Johnson,Andreas Maier,Tobias Würfl,Jaejun Yoo
Publisher : Springer Nature
Page : 142 pages
File Size : 43,6 Mb
Release : 2021-09-29
Category : Computers
ISBN : 9783030885526

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Machine Learning for Medical Image Reconstruction by Nandinee Haq,Patricia Johnson,Andreas Maier,Tobias Würfl,Jaejun Yoo Pdf

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Image Analysis and Processing — ICIAP 2015

Vittorio Murino,Enrico Puppo
Image Analysis and Processing ICIAP 2015 Book PDF

Author : Vittorio Murino,Enrico Puppo
Publisher : Springer
Page : 721 pages
File Size : 49,8 Mb
Release : 2015-08-20
Category : Computers
ISBN : 9783319232317

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Image Analysis and Processing — ICIAP 2015 by Vittorio Murino,Enrico Puppo Pdf

The two-volume set LNCS 9279 and 9280 constitutes the refereed proceedings of the 18th International Conference on Image Analysis and Processing, ICIAP 2015, held in Genoa, Italy, in September 2015. The 129 papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in the following seven topical sections: video analysis and understanding, multiview geometry and 3D computer vision, pattern recognition and machine learning, image analysis, detection and recognition, shape analysis and modeling, multimedia, and biomedical applications.

Handbook of Mathematical Methods in Imaging

Otmar Scherzer
Handbook of Mathematical Methods in Imaging Book PDF

Author : Otmar Scherzer
Publisher : Springer Science & Business Media
Page : 1626 pages
File Size : 43,5 Mb
Release : 2010-11-23
Category : Mathematics
ISBN : 9780387929194

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Handbook of Mathematical Methods in Imaging by Otmar Scherzer Pdf

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.

Block-based Compressed Sensing of Images and Video

James E. Fowler,Sungkwang Mun,Eric W. Tramel
Block based Compressed Sensing of Images and Video Book PDF

Author : James E. Fowler,Sungkwang Mun,Eric W. Tramel
Publisher : Foundations and Trends(r) in S
Page : 134 pages
File Size : 41,7 Mb
Release : 2012
Category : Computers
ISBN : 1601985207

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Block-based Compressed Sensing of Images and Video by James E. Fowler,Sungkwang Mun,Eric W. Tramel Pdf

Block-Based Compressed Sensing of Images and Video overviews the emerging concept of compressed sensing (CS) with a particular focus on recent proposals for its use with a variety of imaging media, including still images, motion video, as well as multiview images and video. Throughout, it considers a variety of CS reconstruction techniques proposed in recent literature and examines relative performance of several prominent reconstruction algorithms for each of the various imagery formats. Particular emphasis is placed on block-based measurement and reconstruction which has the advantages of significantly reduced memory and computation with respect to other approaches relying on full-frame CS measurement operators. Block-Based Compressed Sensing of Images and Video employs extensive experimental comparisons to evaluate various prominent reconstruction algorithms for still-image, motion-video, and multiview scenarios in terms of both reconstruction quality as well as computational complexity. It is not intended to serve as an indepth tutorial on the theory or mathematics of compressed sensing. The coverage of CS theory is brief, while the specifics of the application of block-based compressed sensing (BCS) to natural imagery consume the bulk of the discussion.