Computational Metrics Can Provide Quantitative Values to Characterize Arthroscopic Field of View.

ABSTRACT:

Purpose

The purpose of this study was to determine the inter-rater reliability of arthroscopic video quality, determine correlation between surgeon rating and computational image metrics, and facilitate a quantitative methodology for assessing video quality.

Methods

Five orthopaedic surgeons reviewed 60 clips from deidentified arthroscopic shoulder videos and rated each on a four-point Likert scale from poor to excellent view. The videos were randomized, and the process was completed a total of three times. Each user rating was averaged to provide a user rating per clip. Each video frame was processed to calculate brightness, local contrast, redness (used to represent bleeding), and image entropy. Each metric was then averaged over each frame per video clip, providing four i

SUBMITTER: Barnes RH 

PROVIDER: S-EPMC9042744 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature