Development of magnetic resonance image de-noising methodologies: A comprehensive overview of the state-of-the-art

Smart Health ◽  
2020 ◽  
Vol 18 ◽  
pp. 100138
Author(s):  
Ambika Annavarapu ◽  
Surekha Borra
2017 ◽  
Vol 46 (3) ◽  
pp. 855-914 ◽  
Author(s):  
Bingjie Wang ◽  
Pepijn Prinsen ◽  
Huizhi Wang ◽  
Zhishan Bai ◽  
Hualin Wang ◽  
...  

This article provides an up-to-date highly comprehensive overview (594 references) on the state of the art of the synthesis and design of macroporous materials using microfluidics and their applications in different fields.


2019 ◽  
Vol 29 (2) ◽  
pp. 83-94 ◽  
Author(s):  
Chun Xiang Tang ◽  
Steffen E. Petersen ◽  
Mihir M. Sanghvi ◽  
Guang Ming Lu ◽  
Long Jiang Zhang

2004 ◽  
Vol 76 (6) ◽  
pp. 1161-1213 ◽  
Author(s):  
Sabine Dreer ◽  
P. Wilhartitz

The quantitative analysis of thin films containing light elements is very important in improving the coating processes and technological properties of the products. In order to review the state of the art of modern analytical techniques for such applications, the model systems SiOXNY and AlOXNY were selected. Over 1000 abstracts were screened, and the relevant literature was evaluated to give a comprehensive overview of instruments, analytical procedures and results, film types, deposition methods, and investigation goals. From more than 150 citations, the limitations, drawbacks, and pitfalls of the different methods were extracted and reviewed critically, while in addition, improvements were proposed where possible. These suggestions are combined with the newest results of investigation by the authors of this paper. Recommendations concerning the optimized combination of analytical methods for different analytical problems have been worked out on the basis of all results. Analysis of various multicomponent systems containing light elements demonstrated the applicability of the different methods of analysis in combination to all film systems with related compositions.


2013 ◽  
Vol 58 (2) ◽  
Author(s):  
Timothy Paget ◽  
Nicolas Haroune ◽  
Sushmita Bagchi ◽  
Edward Jarroll

AbstractIn this review, we examine the state-of-the-art technologies (gas and liquid chromatography, mass spectroscopy and nuclear magnetic resonance, etc.) in the well-established area of metabolomics especially as they relate to protozoan parasites.


2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Alessandro Piva

The aim of this survey is to provide a comprehensive overview of the state of the art in the area of image forensics. These techniques have been designed to identify the source of a digital image or to determine whether the content is authentic or modified, without the knowledge of any prior information about the image under analysis (and thus are defined as passive). All these tools work by detecting the presence, the absence, or the incongruence of some traces intrinsically tied to the digital image by the acquisition device and by any other operation after its creation. The paper has been organized by classifying the tools according to the position in the history of the digital image in which the relative footprint is left: acquisition-based methods, coding-based methods, and editing-based schemes.


2017 ◽  
Vol 46 (22) ◽  
pp. 6816-6854 ◽  
Author(s):  
Faxing Wang ◽  
Xiongwei Wu ◽  
Xinhai Yuan ◽  
Zaichun Liu ◽  
Yi Zhang ◽  
...  

A comprehensive overview of the state-of-the-art progress toward mechanisms, new materials, and novel device designs for supercapacitors is provided. Further directions are also pointed out.


2012 ◽  
Vol 479-481 ◽  
pp. 1968-1973
Author(s):  
Zheng Hoang Huang ◽  
Li Xia

This paper is applied non-linear operators for image enhancing. The efficient algorithm of MRI enhancement is provided by decomposition of localized information at different spatial frequencies. So the MRI edge textures was enhanced while suppresses the noise maximally. Experiment was show more obvious unseen or barely seen features, and the visual effect is improved after the method, and help for diagnosing the state of an illness.


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