Yu-Te Huang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yu-Te Huang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Hui-Ju Lin
School of Chinese Medicine, China Medical University, Taichung 404328, Taiwan
1 shared publication - Jhih-Yi Lu
Eye Center, China Medical University Hospital, Taichung 404327, Taiwan
1 shared publication - Jui-Bang Lu
Department of Information Engineering and Computer Science, Feng Chia University, Taichung 407102, Taiwan
1 shared publication - Ming-Han Tsai
Department of Information Engineering and Computer Science, Feng Chia University, Taichung 407102, Taiwan
1 shared publication - Wen-Ling Liao
Graduate Institute of Integrated Medicine, China Medical University, Taichung 406040, Taiwan
1 shared publication - Yin-Cheng Liu
Department of Information Engineering and Computer Science, Feng Chia University, Taichung 407102, Taiwan
1 shared publication
Latest Publications
- Open Access
- 20 September 2025
- Published by MDPI AG in Diagnostics
- Vol. 15 (18) , 2402
A Novel Virtual Reality-Based System for Measuring Deviation Angle in Strabismus: A Prospective Study
Background/Objectives: To develop a new Virtual Reality (VR) system software for measuring ocular deviation in strabismus patients. Methods: This prospective study included subjects with basic-type exotropia (XT) and non-refractive accommodative esotropia (ET). Ocular deviation was measured using the alternate prism cover test (APCT) and two VR-based methods: target offset (TO) and a newly developed camera rotation (CR) method. Results: A total of 28 subjects were recruited (5 cases were excluded for preliminary testing and 5 for not meeting inclusion criteria). Among the 18 included patients, 10 (66.7%) had XT and 5 (33.3%) had ET. The median age was 21.5 years (IQR 17 to 25). The mean age was 22.3 years (range: 9–46), with 5 (27.8%) having manifest strabismus and 12 (61.1%) measured while wearing glasses. VR-based methods (TO and CR) showed comparable results to APCT for deviation angle measurements (p = 0.604). Subgroup analysis showed no significant differences in ET patients (all p > 0.05). In XT patients, both TO and CR underestimated deviation angles compared to APCT (p = 0.008 and p = 0.001, respectively), but no significant difference was observed between the two methods (p = 0.811). Linear regression showed CR had a stronger correlation with APCT than TO (R2 = 0.934 vs. 0.874). Conclusions: This newly developed VR system software, incorporating the CR method, provides a reliable approach for measuring ocular deviation. By shifting the entire visual scene rather than just the target, it lays a strong foundation for immersive diagnostic and therapeutic VR applications.
- 20 September 2025
- Published by MDPI AG in Diagnostics
- Vol. 15 (18) , 2402
Open AccessA Novel Virtual Reality-Based System for Measuring Deviation Angle in Strabismus: A Prospective Study
Background/Objectives: To develop a new Virtual Reality (VR) system software for measuring ocular deviation in strabismus patients. Methods: This prospective study included subjects with basic-type exotropia (XT) and non-refractive accommodative esotropia (ET). Ocular deviation was measured using the alternate prism cover test (APCT) and two VR-based methods: target offset (TO) and a newly developed camera rotation (CR) method. Results: A total of 28 subjects were recruited (5 cases were excluded for preliminary testing and 5 for not meeting inclusion criteria). Among the 18 included patients, 10 (66.7%) had XT and 5 (33.3%) had ET. The median age was 21.5 years (IQR 17 to 25). The mean age was 22.3 years (range: 9–46), with 5 (27.8%) having manifest strabismus and 12 (61.1%) measured while wearing glasses. VR-based methods (TO and CR) showed comparable results to APCT for deviation angle measurements (p = 0.604). Subgroup analysis showed no significant differences in ET patients (all p > 0.05). In XT patients, both TO and CR underestimated deviation angles compared to APCT (p = 0.008 and p = 0.001, respectively), but no significant difference was observed between the two methods (p = 0.811). Linear regression showed CR had a stronger correlation with APCT than TO (R2 = 0.934 vs. 0.874). Conclusions: This newly developed VR system software, incorporating the CR method, provides a reliable approach for measuring ocular deviation. By shifting the entire visual scene rather than just the target, it lays a strong foundation for immersive diagnostic and therapeutic VR applications.