TY - GEN
T1 - An interactive web-based navigation system for learning human anatomy
AU - Zhu, Haichao
AU - Wang, Weiming
AU - Sun, Jingxian
AU - Meng, Qiang
AU - Yu, Jinze
AU - Qin, Jing
AU - Heng, Pheng Ann
PY - 2014/2/17
Y1 - 2014/2/17
N2 - This paper presents an interactive web-based anatomy navigation system based on the high-resolution Chinese Visible Human (CVH) dataset. Compared with previous anatomy learning software, there are three new features in our navigation system. First, we directly exploit the capabilities of graphics hardware to achieve real-time computation of large medical dataset on the web. In addition, various visualization effects are supplied to enhance the visual perception of human model. Second, to facilitate user interaction, we design a set of user-friendly interface by incorporating the Microsoft Kinect into the system, and the users can navigate the Visible Human with their hand gestures. Third, in order to eliminate the unreliable bottleneck: network transmission, we employ a progressive strategy to transmit the data between the server and the client. Experimental results validate the advantages of the proposed navigation system for learning human anatomy, indicating its great potential in clinical applications.
AB - This paper presents an interactive web-based anatomy navigation system based on the high-resolution Chinese Visible Human (CVH) dataset. Compared with previous anatomy learning software, there are three new features in our navigation system. First, we directly exploit the capabilities of graphics hardware to achieve real-time computation of large medical dataset on the web. In addition, various visualization effects are supplied to enhance the visual perception of human model. Second, to facilitate user interaction, we design a set of user-friendly interface by incorporating the Microsoft Kinect into the system, and the users can navigate the Visible Human with their hand gestures. Third, in order to eliminate the unreliable bottleneck: network transmission, we employ a progressive strategy to transmit the data between the server and the client. Experimental results validate the advantages of the proposed navigation system for learning human anatomy, indicating its great potential in clinical applications.
KW - Anatomy navigation system
KW - Chinese Visible Human
KW - Graphics hardware
KW - Network transmission
KW - User interaction
UR - http://www.scopus.com/inward/record.url?scp=84893716225&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-7262-59
DO - 10.1007/978-94-007-7262-59
M3 - Conference article published in proceeding or book
SN - 9789400772618
T3 - Lecture Notes in Electrical Engineering
SP - 73
EP - 81
BT - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
T2 - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Y2 - 23 August 2013 through 25 August 2013
ER -