Related Experiment Video
Updated: Apr 19, 2026
Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
Published on: March 26, 2020
Computer aided diagnosis system for retinal analysis: automatic assessment of the vascular tortuosity
L Sánchez1, N Barreira1, M G Penedo1
1Department of Computer Science, University of A Coruña, Campus de Elviña s/n, 15071, A Coruña, Spain.
Insights
Vessel tortuosity measurement is crucial for disease diagnosis. This study introduces Sirius, a web application with a module for automated, objective tortuosity calculation from retinal images, overcoming manual analysis limitations.
Area of Science:
- Ophthalmology
- Medical Imaging
- Image Processing
Background:
- Vessel tortuosity is a key diagnostic indicator for various diseases.
- Manual analysis of fundus images for tortuosity is subjective, time-consuming, and tedious.
- Automated methods are needed for efficient and objective parameter computation.
Purpose of the Study:
- To introduce Sirius, a web-based application for managing diagnostic tests.
- To present the specific module within Sirius designed for calculating vessel tortuosity.
- To offer an automated solution for objective tortuosity assessment.
Main Methods:
- Development of Sirius, a web-based application for diagnostic test storage and treatment.
- Implementation of a dedicated module for calculating vessel tortuosity.
- Utilizing image processing techniques for automated analysis of fundus images.
Main Results:
- Sirius provides a platform for integrated retinal image understanding.
- The tortuosity calculation module enables efficient and objective measurement.
- Automated analysis overcomes the drawbacks of manual assessment.
Conclusions:
- Automated vessel tortuosity calculation is essential for accurate disease diagnosis.
- Sirius offers a valuable tool for clinicians through its automated tortuosity module.
- The system facilitates objective and efficient analysis of retinal images.
Abstract:
The tortuosity of a vessel, that is, how many times a vessel curves, and how these turns are, is an important value for the diagnosis of certain diseases. Clinicians analyze fundus images manually in order to estimate it, but there is many drawbacks as it is a tedious, time-consuming and subjective work. Thus, automatic image processing methods become a necessity, as they make possible the efficient computation of objective parameters. In this paper we will discuss Sirius (System for the Integration of Retinal Images Understanding Service), a web-based application that enables the storage and treatment of various types of diagnostic tests and, more specifically, its tortuosity calculation module.
