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Regularized Image Reconstruction in Parallel MRI with MATLAB

reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance;

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Fast Medical Image Reconstruction using Graphics Processing Unit

to running CUDA code in MATLAB. This book exercises the acceleration of MRI reconstruction algorithm on NVIDIA's GeForce G 103M based GPU and;

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Image Reconstruction

Highly Undersampled Data with l0 Minimization Problems References Chapter 7 MRI Reconstruction 7.1 The 'M' 7.2 The 'R' 7.3 The 'I'; (To;

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Compressed Sensing for Magnetic Resonance Image Reconstruction

-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI;

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Image Processing

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB (R;

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Image Processing

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB (R;

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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques

resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images;

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Regularized Optimization Methods for Reconstruction and Modeling in Computer Graphics

The field of computer graphics deals with virtual representations of the real world. These can be obtained either through reconstruction;

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Molecular Imaging in Nano MRI

are sparse structures. This work reviews the latest results on molecular imaging for nano MRI. Sparse image reconstruction methods can be;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing;

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI;

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Image Super-Resolution and Applications

: super-resolution with a priori information and blind super-resolution reconstruction of images. It also devotes chapters to the two;

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Image Super-Resolution and Applications

: super-resolution with a priori information and blind super-resolution reconstruction of images. It also devotes chapters to the two;

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Matlab Numerical Methods With Chemical Engineering Applicati

needed toward the final solution is algorithmically explained via snapshots of the MATLAB platform in parallel with the text. End;

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Parallel MATLAB for Multicore and Multinode Computers

required to quickly produce well-performing parallel programs. MATLAB is currently the dominant language of technical computing with one million;

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Optimization Techniques in Computer Vision

problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii;

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Principles of Magnetic Resonance Imaging

of biomedical engineering. biophysics. chetnistry. electrical engineering. and radiology with a systematic. in-depth understanding of MRI principles;

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Magnetic Resonance Imaging

Magnetic Resonance Imaging: Recording, Reconstruction and Assessment gives a detailed overview of magnetic resonance imaging (MRI;

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Programming Massively Parallel Processors

development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating;

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Image Processing in Radiation Therapy

Images from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus;

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Parallel Image Analysis

This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital;

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SAR Prediction and SAR Management for Parallel Transmit MRI

SAR Prediction and SAR Management for Parallel Transmit MRI is een boek van Hanno Homann;

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Magnetic Resonance Imaging

, signal detection and acquisition, Fourier imaging, image reconstruction, contrast, signal, and noise. The second part of the text explores MRI;

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Recent Advances in Imaging with PET, CT, and MR Techniques, An Issue of PET Clinics

This issue of PET Clinics focuses on Recent Advances in Imaging with PET, CT, and MR Techniques and is edited by Drs. Habib Zaidi, Abass;

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Handbook of MRI Pulse Sequences

, their components, and the associated image reconstruction methods commonly used in MRI Provides self-contained sections for individual;

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Magnetic Resonance Imaging: The Basics

Magnetic resonance imaging (MRI) is a rapidly developing field in basic applied science and clinical practice. Research efforts in this;

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Statistics of Medical Imaging

statistical properties of imaging data (measurements) at each stage in the imaging processes of X-ray CT and MRI Demonstrates image reconstruction as;

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