Leveque, Lucie, Zhang, Wei, Cavaro-Menard, Christine, Le Callet, Patrick and Liu, Hantao ORCID: https://orcid.org/0000-0003-4544-3481 2017. Study of video quality assessment for telesurgery. IEEE Access 5 , pp. 9990-9999. 10.1109/ACCESS.2017.2704285 |
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Abstract
elemedicine provides a transformative practice for access to and delivery of timely and high quality healthcare in resource-poor settings. In a typical scenario of telesurgery, surgical tasks are performed with one surgeon situated at the patient’s side and one expert surgeon from a remote site. In order to make telesurgery practice realistic and secure, reliable transmission of medical videos over large distances is essential. However, telesurgery videos that are communicated remotely in real time are vulnerable to distortions in signals due to data compression and transmission. Depending on the system and its applications, visual content received by the surgeons differs in perceived quality, which may incur implications for the performance of telesurgery tasks. To rigorously study the assessment of the quality of telesurgery videos, we performed both qualitative and quantitative research, consisting of semi-structured interviews and video quality scoring with human subjects. Statistical analyses are conducted and results show that compression artifacts and transmission errors significantly affect the perceived quality; and the effects tend to depend on the specific surgical procedure, visual content, frame rate, and the degree of distortion. The findings of the study are readily applicable to improving telesurgery systems.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Publisher: | IEEE |
ISSN: | 2169-3536 |
Date of First Compliant Deposit: | 23 May 2017 |
Date of Acceptance: | 9 May 2017 |
Last Modified: | 06 May 2023 08:31 |
URI: | https://orca.cardiff.ac.uk/id/eprint/100656 |
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