A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy

Huang, Chenxi, Lan, Yisha, Zhang, Guokai, Xu, Gaowei, Jiang, Landu, Zeng, Nianyin, Tan, Jenhong, Ng, E. Y. K., Cheng, Yongqiang, Han, Ningzhi, Ji, Rongrong and Peng, Yonghong (2020) A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy. ACM Transactions on Multimedia Computing, Communications, and Applications, 16 (2s). pp. 1-14. ISSN 1551-6865

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Aortic stent has been widely used in restoring vascular stenosis and assisting patients with cardiovascular disease. The effective visualization of aortic stent is considered to be critical to ensure the effectiveness and functions of the aortic stent in clinical practice. Volume rendering with ray casting has been used as an effective approach to enable the effective visualization of aortic stent. The volume rendering relies on the transfer function that converts the medical images into optical attributes including color and transparency. This article proposes a new transfer function, namely, the multi-dimensional transfer function, to provide additional transparency value of a voxel. The proposed approach using the additional transparency value effectively assists the distinguishing of tissues that have the same CT value. The transparency values are simultaneously determined by gray threshold and gray change threshold, which can recognize the unnecessary structures such as bones transparent. A series of experimental results demonstrate that the situation of aorta stent of a patient can be directly observed, and the angle of view can be switched arbitrarily. The proposed method provides a new way for the operation of a virtual endoscopy to reach the place of blood vessels that a traditional endoscopy fails to reach.

Item Type: Article
Additional Information: ** From Crossref via Jisc Publications Router ** History: ppub 20-06-2020; issued 20-06-2020.
Uncontrolled Keywords: Computer Networks and Communications, Hardware and Architecture
Divisions: Faculty of Technology > School of Computer Science
SWORD Depositor: Publication Router
Depositing User: Publication Router
Date Deposited: 14 Jul 2020 13:38
Last Modified: 14 Jul 2020 13:40
URI: http://sure.sunderland.ac.uk/id/eprint/12181

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