On Optimality and Efficiency of Parallel Magnetic Resonance Imaging Reconstruction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook On Optimality and Efficiency of Parallel Magnetic Resonance Imaging Reconstruction write by Roger Nana. This book was released on 2008. On Optimality and Efficiency of Parallel Magnetic Resonance Imaging Reconstruction available in PDF, EPUB and Kindle. Imaging speed is an important issue in magnetic resonance imaging (MRI), as subject motion during image acquisition is liable to produce artifacts in the image. However, the speed at which data can be collected in conventional MRI is fundamentally limited by physical and physiological constraints. Parallel MRI is a technique that utilizes multiple receiver coils to increase the imaging speed beyond previous limits by reducing the amount of acquired data without degrading the image quality. In order to remove the image aliasing due to k-space undersampling, parallel MRI reconstructions invert the encoding matrix that describes the net effect of the magnetic field gradient encoding and the coil sensitivity profiles. The accuracy, stability, and efficiency of a matrix inversion strategy largely dictate the quality of the reconstructed image. This thesis addresses five specific issues pertaining to this linear inverse problem with practical solutions to improve clinical and research applications.
Regularized Image Reconstruction in Parallel MRI with MATLAB
Regularized Image Reconstruction in Parallel MRI with MATLAB - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regularized Image Reconstruction in Parallel MRI with MATLAB write by Joseph Suresh Paul. This book was released on 2019-11-05. Regularized Image Reconstruction in Parallel MRI with MATLAB available in PDF, EPUB and Kindle. 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.
MRI
MRI - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook MRI write by Angshul Majumdar. This book was released on 2018-09-03. MRI available in PDF, EPUB and Kindle. 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.
Improvement in High Acceleration Parallel Magnetic Resonance Imaging Using Efficient Graph-based Energy Minimization Methods
Improvement in High Acceleration Parallel Magnetic Resonance Imaging Using Efficient Graph-based Energy Minimization Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Improvement in High Acceleration Parallel Magnetic Resonance Imaging Using Efficient Graph-based Energy Minimization Methods write by Gurmeet Singh. This book was released on 2008. Improvement in High Acceleration Parallel Magnetic Resonance Imaging Using Efficient Graph-based Energy Minimization Methods available in PDF, EPUB and Kindle.
Magnetic Resonance Image Reconstruction
Magnetic Resonance Image Reconstruction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Magnetic Resonance Image Reconstruction write by Mehmet Akcakaya. This book was released on 2022-11-04. Magnetic Resonance Image Reconstruction available in PDF, EPUB and Kindle. 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
