Name
Title | ||
|---|---|---|
Automated brain extraction and immersive exploration of its layers in virtual reality for the rhesus macaque MRI data sets |
Abstract | ||
|---|---|---|
As we know, the rhesus macaque as a nonhuman primate is quite similar to a human being in genetics. Moreover, it has become essential in animal model anatomy and physiology in many modern medicine research such as the cardiovascular and cerebrovascular diseases in the recent years. This paper describes a pipeline from the raw rhesus macaque brain magnetic resonance imaging data to intuitive 3D inspection of its layers. Brain extraction is an initial step for subsequent analyses, but most of the existing methods so far are designed for human brain, which does not work well with the rhesus macaque. Firstly, we propose a reliable and efficient method to extract the brain from magnetic resonance imaging data sets based on dividing the brain into blocks. Then, we design a trapezoid opacity transfer function based on Compute Unified Device Architecture (CUDA)-based real-time volume ray casting, which is dedicated to volume rendering to make the inspection more intuitive. Besides, for an immersive exploration in virtual reality benefits understanding the volumetric data sets, so we also design a layer filter for the segmented rhesus macaque brain data sets, which facilitates the inspection of the interior in Region of Interest (ROI) by an intuitive bimanual interaction via a Leap Motion sensor. Our experiments prove usability and efficiency. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1002/cav.1841 | COMPUTER ANIMATION AND VIRTUAL WORLDS |
Keywords | Field | DocType |
bimanual gesture interaction,brain extraction,rhesus macaque,volume visualization,3D inspection | Computer vision,Data set,Virtual reality,Volume visualization,Computer graphics (images),Computer science,Rhesus macaque,Immersion (virtual reality),Artificial intelligence | Journal |
Volume | Issue | ISSN |
30.0 | 1 | 1546-4261 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanlin Luo | 1 | 0 | 0.34 |
| Bin Gao | 2 | 63 | 6.51 |
| Yiyi Deng | 3 | 0 | 1.35 |
| Xiaoming Zhu | 4 | 0 | 0.34 |
| T. Jiang | 5 | 1419 | 128.59 |
| Xudong Zhao | 6 | 0 | 0.34 |
| Zhengyi Yang | 7 | 0 | 1.01 |