Computer-aided evaluation of cataract surgery; a metric comparison of continuous circular capsulorhexis by trainee and specialist surgeons

• Main Authors: Laude, Augustinus, Aniyath, Praseedha Krishnan, Seow, Kiam Tian, Kwok, Jian Wah, Fam, Han Bor, Heng, Wee Jin, Rajan, Deepu
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: Computer Science and Engineering
• Online Access: https://hdl.handle.net/10356/79328; http://hdl.handle.net/10220/38761; http://iovs.arvojournals.org/article.aspx?articleid=2331014&resultClick=1
• Institution: Nanyang Technological University

Purpose: There is a correlation between the centration and quality of the continuous circular capsulorhexis (CCC) and the subsequent refractive outcomes in cataract surgery. We developed a novel software evaluation tool based on video processing to assess the execution of CCC by comparing trainee and specialist surgeons from a teaching hospital. The software incorporates a novel performance metric that quantifies their performance. Methods: We first detected the limbus of the eye in each video frame using Hough circle detection. Next, the capsulorhexis forceps is detected based on its linearity and specularity. Then a visual tool-tracking function is invoked based on an image similarity measure which is illumination invariant and computationally inexpensive. The number of capsular grasps is then found from a functional plot of distance between the pair of forceps tips. Other parameters computed include surgical efficiency with respect to surgical time, circularity index and absolute decentration of the CCC with respect to the optical centre. These parameters are integrated into a single novel performance metric for each surgery (Fig 1). Results: The software was implemented in MATLAB and we evaluated 35 capsulorhexis videos of surgeries done by 19 specialist and 16 trainee surgeons. The quantitative parameters for all videos are listed in Fig 2. A student t-test comparison of the mean performance metric scores found that the trainee group scored 0.4244 (±0.2) which was significantly lower than the specialist group which scored 0.8676 (±0.1) (P=0.0001), indicating that the two groups could be differentiated. Conclusions: We developed a tool for evaluation of the performance of capsulorhexis during cataract surgery. The proposed performance metric computed by the software could differentiate the two groups of surgeons. Using quantitative parameters, we can have an objective and repeatable way for surgical assessment to identify areas for improvement.