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Full-Text Articles in Electrical and Electronics
Optimized Image Compressed Sensing And Transmission Through Wireless Channels, Saheed Olanigan
Optimized Image Compressed Sensing And Transmission Through Wireless Channels, Saheed Olanigan
Electronic Theses and Dissertations
This thesis examines the robust behavior of quantized compressed sensing measurements during transmission through an additive white gaussian noise wireless channel. The poor rate-distortion performance that accompanies compressed sensing after applying quantization has led to several works in quantized compressed sensing. However, most of these works have less consideration of the effect of transmission channel on the resulting bit stream of the quantized compressed sensing measurements. For an additive white gaussian noise wireless channel model, the quantizer and bit energy signal-to-noise ratio determines the degree of the channel effect. This thesis explores the effect of quantization and channel noise during …
A Study Of Nonlinear Approaches To Parallel Magnetic Resonance Imaging, Yuchou Chang
A Study Of Nonlinear Approaches To Parallel Magnetic Resonance Imaging, Yuchou Chang
Theses and Dissertations
Magnetic resonance imaging (MRI) has revolutionized radiology in the past four decades by its ability to visualize not only the detailed anatomical structures, but also function and metabolism information. A major limitation with MRI is its low imaging speed, which makes it difficult to image the moving objects. Parallel MRI (pMRI) is an emerging technique to increase the speed of MRI. It acquires the MRI data from multiple coils simultaneously such that fast imaging can be achieved by reducing the amount of data acquired in each coil. Several methods have developed to reconstruct the original image using the reduced data …
Accelerating Mri Data Acquisition Using Parallel Imaging And Compressed Sensing, Haifeng Wang
Accelerating Mri Data Acquisition Using Parallel Imaging And Compressed Sensing, Haifeng Wang
Theses and Dissertations
Magnetic Resonance Imaging (MRI) scanners are one of important medical instruments, which can achieve more information of soft issues in human body than other medical instruments, such as Ultrasound, Computed Tomography (CT), Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), etc. But MRI's scanning is slow for patience of doctors and patients. In this dissertation, the author proposes some methods of parallel imaging and compressed sensing to accelerate MRI data acquisition. Firstly, a method is proposed to improve the conventional GRAPPA using cross-sampled auto-calibration data. This method use cross-sampled auto-calibration data instead of the conventional parallel-sampled auto-calibration data …