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Related Experiment Video

Updated: Jun 6, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

An integrated software solution for multi-modal mapping of morphological and functional ocular data.

E Troeger¹, I Sliesoraityte, P Charbel Issa

¹Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tuebingen, Germany. eric.troeger@med.uni-tuebingen.de

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This summary is machine-generated.

This study introduces new software for registering and analyzing retinal structure and function data. The application integrates multiple imaging and functional tests, aiding clinical trials and research.

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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

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Area of Science:

Ophthalmology
Medical Imaging
Computational Biology

Background:

Clinicians often analyze retinal imaging and functional data separately due to a lack of integrated software.
Existing methods limit the simultaneous analysis of spatially resolved morphological and functional retinal data.
This hinders comprehensive patient assessment and clinical trial data aggregation.

Purpose of the Study:

To develop and present an integrated software application for registering and analyzing multimodal retinal data.
To enable simultaneous analysis of morphological and functional data in a clinical setting.
To facilitate quantitative data extraction for clinical trials and statistical analysis.

Main Methods:

Development of an integrated mapping application for multimodal retinal data registration.
Inclusion of morphological data: fundus photography, optical coherence tomography (OCT), scanning laser ophthalmoscopy (SLO), and GDx thickness profiles.
Integration of functional data: multifocal electroretinography (mfERG), multifocal pattern electroretinography (mfPERG), perimetry, and microperimetry.
Implementation of extraction routines for quantitative morphological parameters (e.g., retinal layer thickness, vascular network measures).

Main Results:

The developed software enables the registration and joint analysis of diverse morphological and functional retinal datasets.
Quantitative extraction of morphological parameters, including retinal layer thicknesses and vascular network characteristics, is supported.
The application allows for the extraction and export of global, regional, and point-specific data for statistical analysis.

Conclusions:

The integrated mapping application overcomes the limitations of analyzing single-modality retinal data.
This software facilitates a more comprehensive understanding of retinal structure-function relationships.
The tool is valuable for clinical research, enabling robust data analysis for trials and statistical studies.