scholarly journals Non Linear Algorithm for Automatic Image Processing Applications in FPGAs

10.5772/21940 ◽  
2011 ◽  
Author(s):  
Emerson Carlos ◽  
Valentin Obac ◽  
Jose Hiroki
Keyword(s):  
Image Processing ◽  
Linear Algorithm ◽  
Automatic Image Processing ◽  
Non Linear

EMCAT: An automatic image-processing system for electron-microscopic tomography

1994 ◽  
Vol 52 ◽  
pp. 418-419
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Image Processing ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Processing System ◽  
Electron Microscopic ◽  
Data Set ◽  
Ordered Structures ◽  
Automatic Image Processing ◽  
Em Tomography

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.

Application of non-linear transform coding to image processing

2012 ◽  
Author(s):  
Jens Hocke ◽  
Erhardt Barth ◽  
Thomas Martinetz
Keyword(s):  
Image Processing ◽  
Transform Coding ◽  
Non Linear ◽  
Linear Transform

scholarly journals A preclinical ultrasound method for the assessment of vascular disease progression in murine models

Ultrasound ◽  
2018 ◽  
Vol 27 (2) ◽  
pp. 85-93
Author(s):  
Justyna Janus ◽  
Baris Kanber ◽  
Wadhah Mahbuba ◽  
Charlotte Beynon ◽  
Kumar V Ramnarine ◽  
...  
Keyword(s):  
Image Processing ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Vascular Disease ◽  
Mouse Models ◽  
Murine Models ◽  
Analysis Method ◽  
Manual Analysis ◽  
Abdominal Aortic ◽  
Automatic Image Processing

Introduction The efficacy of preclinical ultrasound at providing a quantitative assessment of mouse models of vascular disease is relatively unknown. In this study, preclinical ultrasound was used in combination with a semi-automatic image processing method to track arterial distension alterations in mouse models of abdominal aortic aneurysm and atherosclerosis. Methods Longitudinal B-mode ultrasound images of the abdominal aorta were acquired using a preclinical ultrasound scanner. Arterial distension was assessed using a semi-automatic image processing algorithm to track vessel wall motion over the cardiac cycle. A standard, manual analysis method was applied for comparison. Results Mean arterial distension was significantly lower in abdominal aortic aneurysm mice between day 0 and day 7 post-onset of disease (p < 0.01) and between day 0 and day 14 (p < 0.001), while no difference was observed in sham control mice. Manual analysis detected a significant decrease (p < 0.05) between day 0 and day 14 only. Atherosclerotic mice showed alterations in arterial distension relating to genetic modification and diet. Arterial distension was significantly lower (p < 0.05) in Ldlr−/− (++/−−) mice fed high-fat western diet when compared with both wild type (++/++) mice and Ldlr−/− (++/−−) mice fed chow diet. The manual method did not detect a significant difference between these groups. Conclusions Arterial distension can be used as an early marker for the detection of arterial disease in murine models. The semi-automatic analysis method provided increased sensitivity to differences between experimental groups when compared to the manual analysis method.

Sign in / Sign up

Export Citation Format

Share Document