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Updated: May 14, 2026
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Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
Published on: December 1, 2023
Objective measurements to evaluate glottal space segmentation from laryngeal images
J M Gutiérrez-Arriola1, V Osma-Ruiz, N Sáenz-Lechón
1Dept. of Ingeniería de Circuitos ySistemas, Universidad Politécnica de Madrid, Ctra. Valencia, km.7, 28031,Madrid, Spain. juana.gutierrez.arriola@upm.es
Summary
A new objective measurement, the Area Index, effectively evaluates medical image segmentation quality for glottal area detection in laryngeal images. It shows high correlation with the Pratt Index, offering a reliable alternative for assessing segmentation accuracy.
Area of Science:
- Medical Imaging
- Image Segmentation
- Biomedical Engineering
Background:
- Objective evaluation of medical image segmentation is challenging.
- Accurate segmentation of the glottal area in laryngeal images is crucial for diagnosis.
Purpose of the Study:
- Propose a novel objective metric, the Area Index, for evaluating glottal area segmentation quality.
- Compare the Area Index's effectiveness against the established Pratt Index.
Main Methods:
- Developed the Area Index metric for segmentation quality assessment.
- Applied and compared the Area Index with the Pratt Index on 110 laryngeal images.
- Analyzed the correlation between the proposed and existing metrics.
Main Results:
- The Area Index demonstrated high correlation with the Pratt Index.
- Results indicate the Area Index is a comparable and effective measure of segmentation quality.
- The proposed metric provides a reliable objective evaluation for glottal area segmentation.
Conclusions:
- The Area Index is a valid and comparable objective measure for evaluating medical image segmentation.
- This new metric can be reliably used for assessing the quality of glottal area detection algorithms.
