Combining Positron Emission Particle Tracking and image analysis to interpret particle motion in froths

2010 ◽  
Vol 23 (11-13) ◽  
pp. 1036-1044 ◽  
Author(s):  
K.E. Cole ◽  
K.E. Waters ◽  
X. Fan ◽  
S.J. Neethling ◽  
J.J. Cilliers
2009 ◽  
Vol 194 (1-2) ◽  
pp. 58-66 ◽  
Author(s):  
Chian W. Chan ◽  
Jonathan Seville ◽  
Xianfeng Fan ◽  
Jan Baeyens

2009 ◽  
Vol 193 (2) ◽  
pp. 137-149 ◽  
Author(s):  
Chian W. Chan ◽  
Jonathan Seville ◽  
Xianfeng Fan ◽  
Jan Baeyens

1997 ◽  
Vol 52 (13) ◽  
pp. 2011-2022 ◽  
Author(s):  
D.J. Parker ◽  
A.E. Dijkstra ◽  
T.W. Martin ◽  
J.P.K. Seville

2009 ◽  
Vol 48 (1) ◽  
pp. 253-261 ◽  
Author(s):  
Chian W. Chan ◽  
Jonathan P. K. Seville ◽  
Xianfeng Fan ◽  
Jan Baeyens

2021 ◽  
pp. 110709
Author(s):  
Mark Al-Shemmeri ◽  
Kit Windows-Yule ◽  
Estefania Lopez-Quiroga ◽  
Peter J. Fryer

Pharmaceutics ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 659
Author(s):  
Konstantinos Stamatopoulos ◽  
Sharad Karandikar ◽  
Mark Goldstein ◽  
Connor O’Farrell ◽  
Luca Marciani ◽  
...  

This work used in vivo MRI images of human colon wall motion to inform a biorelevant Dynamic Colon Model (DCM) to understand the interplay of wall motion, volume, viscosity, fluid, and particle motion within the colon lumen. Hydrodynamics and particle motion within the DCM were characterized using Positron Emission Tomography (PET) and Positron Emission Particle Tracking (PEPT), respectively. In vitro PET images showed that fluid of higher viscosity follows the wall motion with poor mixing, whereas good mixing was observed for a low viscosity fluid. PEPT data showed particle displacements comparable to the in vivo data. Increasing fluid viscosity favors the net forward propulsion of the tracked particles. The use of a floating particle demonstrated shorter residence times and greater velocities on the liquid surface, suggesting a surface wave that was moving faster than the bulk liquid. The DCM can provide an understanding of flow motion and behavior of particles with different buoyancy, which in turn may improve the design of drug formulations, whereby fragments of the dosage form and/or drug particles are suspended in the proximal colon.


2011 ◽  
Vol 1 (4) ◽  
pp. 673-685 ◽  
Author(s):  
J. Alison Noble ◽  
Nassir Navab ◽  
H. Becher

The fields of medical image analysis and computer-aided interventions deal with reducing the large volume of digital images (X-ray, computed tomography, magnetic resonance imaging (MRI), positron emission tomography and ultrasound (US)) to more meaningful clinical information using software algorithms. US is a core imaging modality employed in these areas, both in its own right and used in conjunction with the other imaging modalities. It is receiving increased interest owing to the recent introduction of three-dimensional US, significant improvements in US image quality, and better understanding of how to design algorithms which exploit the unique strengths and properties of this real-time imaging modality. This article reviews the current state of art in US image analysis and its application in image-guided interventions. The article concludes by giving a perspective from clinical cardiology which is one of the most advanced areas of clinical application of US image analysis and describing some probable future trends in this important area of ultrasonic imaging research.


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