Computational Ophthalmology – LineM

LineM: assessing metamorphopsia symptom using line manipulation task

Zhenyang Zhu, Masahiro Toyoura, Issei Fujishiro, Kentaro Go, Kenji Kashiwagi, Xiaoyang Mao


Metamorphopsia patients experience distortions in their views. The number of metamorphopsia patients is arising with the increase in the elderly population. For early detection of metamorphopsia, examination approaches have been proposed. However, none of the existing methods can be employed to precisely assess the perceptions of patients. We propose LineM as a novel method to precisely measure the distorted views of metamorphopsia patients based on interactive line manipulation task involving the patients. To explore the potential of LineM, a case study which uses the measured results from LineM to visualize the distorted views of metamorphopsia patients is presented. Furthermore, a novel technique for compensating the distorted views of individual metamorphopsia patients using the results from LineM is also presented. Considering that elderly individuals account for the majority of metamorphopsia patients, an intuitive and user-friendly prototype system has been implemented. The effectiveness and usability of LineM and the compensation method were demonstrated via a qualitative and subjective experiment that involved metamorphopsia patients and elderly participants.


  1. Publication: The Visual Computer 2021
  2. Manuscript: PDF


Zhenyang Zhu, Masahiro Toyoura, Issei Fujishiro, Kentaro Go, Kenji Kashiwagi, Xiaoyang Mao, “LineM: Assessing Metamorphopsia Symptom Using Line Manipulation Task,” The Visual Computer, First online 2021-02-25.


This work is supported by JSPS Grants-in-Aid for Scientifc Research (Grant Nos. 17H00738, 19H05472, and 20J15406). We would like to thank all patients and participants who helped evaluate LineM. Their valuable comments contributed to the design and improvement of the system. Hiromichi Ichige contributed to the implementation of the system.