Paper Info
Title
GPU-based interactive visualization framework for ultrasound datasets
Abstract
Ultrasound imaging is widely used in medical areas. By transmitting ultrasound signals into the human body, their echoed signals can be rendered to represent the shape of internal organs. Although its image quality is inferior to that of CT or MR, ultrasound is widely used for its speed and reasonable cost. Volume rendering techniques provide methods for rendering the 3D volume dataset intuitively. We present a visualization framework for ultrasound datasets that uses programmable graphics hardware. For this, we convert ultrasound coordinates into Cartesian form. In ultrasound datasets, however, since physical storage and representation space is different, we apply different sampling intervals adaptively for each ray. In addition, we exploit multiple filtered datasets in order to reduce noise. By our method, we can determine the adequate filter size without considering the filter size. As a result, our approach enables interactive volume rendering for ultrasound datasets, using a consumer-level PC. Copyright © 2009 John Wiley & Sons, Ltd.
Year
DOI
Venue
2009
10.1002/cav.v20:1
Journal of Visualization and Computer Animation
Keywords
Field
DocType
filter size,multiple filtered datasets,gpu-based interactive visualization framework,ultrasound signal,cartesian form,interactive volume rendering,volume rendering technique,ultrasound datasets,different sampling intervals adaptively,adequate filter size,volume dataset intuitively,ultrasound,filtering,interactive visualization
Volume ray casting,Computer vision,Volume rendering,Parallel rendering,Graphics hardware,Computer graphics (images),Computer science,Visualization,Image processing,Interactive visualization,Artificial intelligence,Rendering (computer graphics)
Journal
Volume
Issue
Citations 
20
1
1
PageRank 
References 
Authors
0.38
19
3
Name
Order
Citations
PageRank
Sukhyun Lim1507.03
Koojoo Kwon263.54
Byeong-Seok Shin313229.65