A New Rapid and Effective Chemistry Space Filter in Recognizing a Druglike Database

2005 ◽  
Vol 45 (4) ◽  
pp. 856-862 ◽  
Author(s):  
Suxin Zheng ◽  
Xiaomin Luo ◽  
Gang Chen ◽  
Weiliang Zhu ◽  
Jianhua Shen ◽  
...  
Keyword(s):  
1997 ◽  
Vol 38 (1) ◽  
pp. 173-175 ◽  
Author(s):  
K. Ito ◽  
J. Kato ◽  
S. Okada ◽  
T. Kumazaki

Purpose: In three-dimensional (3-D) contrast MR angiography, temporal misregistration between the data acquisition period and the arrival of the contrast agent in the target vessels is thought to degrade the quality of the reconstructed images. The purpose of this study was to demonstrate and investigate this effect in phantom experiments. Material and Methods: MR images of a phantom tube were evaluated with flowing materials of water or Gd-DTPA solution by changing from water to Gd-DTPA solution halfway through the data acquisition period. Results: While no signal could be acquired with a stream of water in the tube, a clear signal was obtained with a flow of Gd-DTPA solution. Blurring and ghost artifacts surrounding the tube along the phase-encoding direction were observed when the flowing material was changed from water to Gd-DTPA solution halfway through the data acquisition period. Conclusion: K-space filter effect occurs during 3-D contrast MR angiography owing to the transient passage of the contrast agent, and this effect causes spatial artifacts in the reconstructed images.


2018 ◽  
Vol 2018 (04) ◽  
pp. 010-010 ◽  
Author(s):  
Matteo Leo ◽  
Carlton M. Baugh ◽  
Baojiu Li ◽  
Silvia Pascoli
Keyword(s):  

2020 ◽  
Vol 27 (8) ◽  
pp. 082102
Author(s):  
S. S. Cerri ◽  
E. Camporeale
Keyword(s):  

2014 ◽  
Vol 68 (7) ◽  
pp. 492-499 ◽  
Author(s):  
Mark Rogers-Evans ◽  
Henner Knust ◽  
Jean-Marc Plancher ◽  
Erick M. Carreira ◽  
George Wuitschik ◽  
...  
Keyword(s):  

2016 ◽  
Vol 4 (1) ◽  
pp. 131-142 ◽  
Author(s):  
Chris Gritton ◽  
Martin Berzins

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Chen ◽  
Taoshun He

The purpose of this paper is to develop an effective edge indicator and propose an image scale-space filter based on anisotropic diffusion equation for image denoising. We first develop an effective edge indicator named directional local variance (DLV) for detecting image features, which is anisotropic and robust and able to indicate the orientations of image features. We then combine two edge indicators (i.e., DLV and local spatial gradient) to formulate the desired image scale-space filter and incorporate the modulus of noise magnitude into the filter to trigger time-varying selective filtering. Moreover, we theoretically show that the proposed filter is robust to the outliers inherently. A series of experiments are conducted to demonstrate that the DLV metric is effective for detecting image features and the proposed filter yields promising results with higher quantitative indexes and better visual performance, which surpass those of some benchmark models.


1994 ◽  
Vol 50 (8) ◽  
pp. 1103
Author(s):  
SATORU KOHNO ◽  
AKIHIRO ISHIKAWA ◽  
NAOTO IIJIMA

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