Real-time bronchoscope three-dimensional motion estimation using multiple sensor-driven alignment of CT images and electromagnetic measurements

2014 ◽  
Vol 38 (6) ◽  
pp. 540-548 ◽  
Author(s):  
Xiongbiao Luo ◽  
Kensaku Mori
Keyword(s):  
Motion Estimation ◽  
Real Time ◽  
Three Dimensional ◽  
Ct Images ◽  
Electromagnetic Measurements ◽  
Multiple Sensor

scholarly journals On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Jeyarajan Thiyagalingam ◽  
Daniel Goodman ◽  
Julia A. Schnabel ◽  
Anne Trefethen ◽  
Vicente Grau
Keyword(s):  
Motion Estimation ◽  
Real Time ◽  
Three Dimensional ◽  
Basic Research ◽  
Estimation Algorithm ◽  
Image Sequences ◽  
Multicore Architectures ◽  
Gpu Architectures ◽  
Access Patterns ◽  
Performance Gains

Images are ubiquitous in biomedical applications from basic research to clinical practice. With the rapid increase in resolution, dimensionality of the images and the need for real-time performance in many applications, computational requirements demand proper exploitation of multicore architectures. Towards this, GPU-specific implementations of image analysis algorithms are particularly promising. In this paper, we investigate the mapping of an enhanced motion estimation algorithm to novel GPU-specific architectures, the resulting challenges and benefits therein. Using a database of three-dimensional image sequences, we show that the mapping leads to substantial performance gains, up to a factor of 60, and can provide near-real-time experience. We also show how architectural peculiarities of these devices can be best exploited in the benefit of algorithms, most specifically for addressing the challenges related to their access patterns and different memory configurations. Finally, we evaluate the performance of the algorithm on three different GPU architectures and perform a comprehensive analysis of the results.

Real-Time Visualization and Interaction of Three-dimensional Human CT Images

2010 ◽  
Vol 5 (9) ◽  
Author(s):  
Zhanli Hu ◽  
Jing Zou ◽  
Jianbao Gui ◽  
Junyan Rong ◽  
Yanming Li ◽  
...  
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Ct Images ◽  
Real Time Visualization

Evaluation of the mitral valve by transthoracic real-time three-dimensional echocardiography

2010 ◽  
Vol 151 (21) ◽  
pp. 854-863 ◽  
Author(s):  
Attila Nemes ◽  
Marcel L. Geleijnse ◽  
Osama I. I. Soliman ◽  
Wim B. Vletter ◽  
Jackie S. McGhie ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Real Time ◽  
Three Dimensional ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography

Jelenleg az echokardiográfia a legszéleskörűbben alkalmazott rutin noninvazív diagnosztikus eljárás, amelynek segítségével a mitralis billentyű morfológiája és funkciója jellemezhető. Ennek az összefoglaló jellegű közleménynek a célja az egyik legújabb echokardiográfiás fejlesztés, a transthoracalis real-time háromdimenziós echokardiográfia szerepének bemutatása a mitralis billentyű vizsgálatában.

A Real-Time Mathematical Model for Three-Dimensional Tidal Flow and Water Quality

1991 ◽  
Vol 24 (6) ◽  
pp. 171-177 ◽  
Author(s):  
Zeng Fantang ◽  
Xu Zhencheng ◽  
Chen Xiancheng
Keyword(s):  
Mathematical Model ◽  
Water Quality ◽  
Real Time ◽  
Control Volume ◽  
Tidal Flow ◽  
Three Dimensional ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Practical Application ◽  
The Pearl River

A real-time mathematical model for three-dimensional tidal flow and water quality is presented in this paper. A control-volume-based difference method and a “power interpolation distribution” advocated by Patankar (1984) have been employed, and a concept of “separating the top-layer water” has been developed to solve the movable boundary problem. The model is unconditionally stable and convergent. Practical application of the model is illustrated by an example for the Pearl River Estuary.

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