scholarly journals A fast Edge-preserving Bayesian reconstruction method for Parallel Imaging applications in cardiac MRI

2010 ◽  
Vol 65 (1) ◽  
pp. 184-189 ◽  
Author(s):  
Gurmeet Singh ◽  
Ashish Raj ◽  
Bryan Kressler ◽  
Thanh D. Nguyen ◽  
Pascal Spincemaille ◽  
...  
Keyword(s):  
Cardiac Mri ◽  
Parallel Imaging ◽  
Reconstruction Method ◽  
Edge Preserving ◽  
Bayesian Reconstruction

scholarly journals Bayesian parallel imaging with edge-preserving priors

2006 ◽  
Vol 57 (1) ◽  
pp. 8-21 ◽  
Author(s):  
Ashish Raj ◽  
Gurmeet Singh ◽  
Ramin Zabih ◽  
Bryan Kressler ◽  
Yi Wang ◽  
...  
Keyword(s):  
Parallel Imaging ◽  
Edge Preserving

scholarly journals Experimental testing on phantom image for improved MRI compressed sensing

2020 ◽  
Vol 12 (1) ◽  
pp. 18-21
Author(s):  
Aleksandar Kamilovski
Keyword(s):  
Compressed Sensing ◽  
Wavelet Transforms ◽  
Parallel Imaging ◽  
Experimental Testing ◽  
Imaging Techniques ◽  
Brain Mri ◽  
Experimental Tests ◽  
Reconstruction Method ◽  
Test Image ◽  
Phantom Image

This paper presents a possible way for improving the techniques of compressed sensing and parallel imaging techniques for brain MRI. Experimental tests have been performed over a phantom test image. An exclusive elliptical sampling mask has been generated, which in combination with double-density wavelet transforms offers improvement over the standard approach. Additional tests undertaken as part of this research propose the usage of nonlinear reconstruction method, generated elliptical sampling mask and double-density wavelet transform for application of compressed sensing to brain MRI. An assessment of the results for diagnostic usage has been done by a specialist of radiology.

scholarly journals Generative Adversarial Network-Based Edge-Preserving Superresolution Reconstruction of Infrared Images

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yuqing Zhao ◽  
Guangyuan Fu ◽  
Hongqiao Wang ◽  
Shaolei Zhang ◽  
Min Yue
Keyword(s):  
Infrared Image ◽  
Reconstruction Method ◽  
Infrared Images ◽  
Generative Adversarial Network ◽  
Edge Preserving ◽  
Edge Structure ◽  
Second Stage ◽  
Adversarial Network ◽  
Objective Quality ◽  
Image Edges

The convolutional neural network has achieved good results in the superresolution reconstruction of single-frame images. However, due to the shortcomings of infrared images such as lack of details, poor contrast, and blurred edges, superresolution reconstruction of infrared images that preserves the edge structure and better visual quality is still challenging. Aiming at the problems of low resolution and unclear edges of infrared images, this work proposes a two-stage generative adversarial network model to reconstruct realistic superresolution images from four times downsampled infrared images. In the first stage of the generative adversarial network, it focuses on recovering the overall contour information of the image to obtain clear image edges; the second stage of the generative adversarial network focuses on recovering the detailed feature information of the image and has a stronger ability to express details. The infrared image superresolution reconstruction method proposed in this work has highly realistic visual effects and good objective quality evaluation results.

Sparse Bayesian reconstruction method for multispectral bioluminescence tomography

2010 ◽  
Vol 8 (10) ◽  
pp. 1010-1014 ◽  
Author(s):  
冯金超 Jinchao Feng ◽  
贾克斌 Kebin Jia ◽  
秦承虎 Chenghu Qin ◽  
朱守平 Shouping Zhu ◽  
杨鑫 Xin Yang ◽  
...  
Keyword(s):  
Reconstruction Method ◽  
Bayesian Reconstruction ◽  
Bioluminescence Tomography

A Bayesian reconstruction method for micro-rotation imaging in light microscopy

2008 ◽  
Vol 71 (2) ◽  
pp. 158-167 ◽  
Author(s):  
Danai Laksameethanasan ◽  
Sami S. Brandt ◽  
Peter Engelhardt ◽  
Olivier Renaud ◽  
Spencer L. Shorte
Keyword(s):  
Light Microscopy ◽  
Reconstruction Method ◽  
Bayesian Reconstruction

A locally segmented reconstruction method for parallel imaging

2020 ◽  
Vol 84 (3) ◽  
pp. 1638-1647
Author(s):  
Seohee So ◽  
Hyunseok Seo ◽  
HyunWook Park
Keyword(s):  
Parallel Imaging ◽  
Reconstruction Method
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