Virtual Reality for Interactive Medical Analysis

被引:7
作者
Koger, Casey R. [1 ]
Hassan, Sohail S. [1 ]
Yuan, Jie [1 ]
Ding, Yichen [1 ,2 ]
机构
[1] Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, Dept Bioengn, Richardson, TX 75080 USA
[2] UT Southwestern Med Ctr, Hamon Ctr Regenerat Sci & Med, Dallas, TX 75390 USA
来源
FRONTIERS IN VIRTUAL REALITY | 2022年 / 3卷
关键词
virtual reality; visualization; manipulation; interactive; exploration; analysis;
D O I
10.3389/frvir.2022.782854
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Molecular imaging along with 3-dimensional (3-D) or 4-D (3-D spatial + 1-D temporal) visualization is widely used in clinical diagnosis and surgical planning. However, the pre-defined perspective and confined manipulation limit the in-depth exploration and analysis in 3-D/4-D. To overcome this obstacle, we utilized virtual reality (VR) to interact with CT images of the cardiopulmonary system in a 3-D immersive environment. We implemented manipulative functionalities into the VR environment that altered the cardiopulmonary models to interactively generate new data analysis perspectives. We successfully sliced a CT cardiac model showing in-depth surface visualizations of the ventricles and atria. Our customized framework enables enhanced data interpretation interactivity of CT images and establishes a user-directed manipulative VR platform derived from imaging results for remote medical practices including training, education, and investigation.
引用
收藏
页数:8
相关论文
共 28 条
[1]   Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions [J].
Akkus, Zeynettin ;
Galimzianova, Alfiia ;
Hoogi, Assaf ;
Rubin, Daniel L. ;
Erickson, Bradley J. .
JOURNAL OF DIGITAL IMAGING, 2017, 30 (04) :449-459
[2]  
Arivis, 2021, VISIONVR
[3]   Virtual Reality in scientific visualization [J].
Bryson, S .
COMMUNICATIONS OF THE ACM, 1996, 39 (05) :62-71
[4]   Imaging, Visualization, and Computation in Developmental Biology [J].
Cutrale, Francesco ;
Fraser, Scott E. ;
Trinh, Le A. .
ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 2, 2019, 2019, 2 :223-251
[5]   Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation [J].
Ding, Yichen ;
Gudapati, Varun ;
Lin, Ruiyuan ;
Fei, Yanan ;
Packard, Rene R. Sevag ;
Song, Sibo ;
Chang, Chih-Chiang ;
Baek, Kyung In ;
Wang, Zhaoqiang ;
Roustaei, Mehrdad ;
Kuang, Dengfeng ;
Kuo, C-C Jay ;
Hsiai, Tzung K. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 68 (01) :225-235
[6]   Integrating light-sheet imaging with virtual reality to recapitulate developmental cardiac mechanics [J].
Ding, Yichen ;
Abiri, Arash ;
Abiri, Parinaz ;
Li, Shuoran ;
Chang, Chih-Chiang ;
Baek, Kyung In ;
Hsu, Jeffrey J. ;
Sideris, Elias ;
Li, Yilei ;
Lee, Juhyun ;
Segura, Tatiana ;
Nguyen, Thao P. ;
Bui, Alexander ;
Packard, Rene R. Sevag ;
Fei, Peng ;
Hsiai, Tzung K. .
JCI INSIGHT, 2017, 2 (22)
[7]   A guide to deep learning in healthcare [J].
Esteva, Andre ;
Robicquet, Alexandre ;
Ramsundar, Bharath ;
Kuleshov, Volodymyr ;
DePristo, Mark ;
Chou, Katherine ;
Cui, Claire ;
Corrado, Greg ;
Thrun, Sebastian ;
Dean, Jeff .
NATURE MEDICINE, 2019, 25 (01) :24-29
[8]  
Hale KellyS., 2015, Handbook of virtual environments
[9]  
Hussein M., 2015, The Benefits of Virtual Reality in Education: A Comparison Study
[10]  
immSci, 2021, EXMICROVR IMM SCI