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Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Updated: Dec 25, 2025

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Automatic intraoperative optical coherence tomography positioning.

Matthias Grimm¹, Hessam Roodaki^2,3, Abouzar Eslami³

¹Technical University of Munich, Garching bei München, Germany. matthias.grimm@tum.de.

International Journal of Computer Assisted Radiology and Surgery

|April 4, 2020

Summary

This summary is machine-generated.

This study presents an automated method for positioning intraoperative optical coherence tomography (iOCT) scans during eye surgery using voice commands. This innovation allows surgeons to maintain focus on the procedure, enhancing efficiency and acceptance of iOCT technology.

Keywords:

Automatic positioning Computer-aided ophthalmic surgery Intraoperative optical coherence tomography

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Area of Science:

Ophthalmology
Medical Imaging
Surgical Technology

Background:

Intraoperative optical coherence tomography (iOCT) offers high-resolution, real-time imaging crucial for ophthalmic surgeries.
Manual iOCT scan positioning is challenging, requiring surgeons' hands and potentially disrupting surgical flow.

Purpose of the Study:

To develop and evaluate an automated method for precise iOCT scan positioning in anterior segment surgeries.
To reduce the manual burden on surgeons by enabling voice-controlled iOCT adjustments.

Main Methods:

A voice recognition algorithm interprets surgeon commands for desired scan orientation.
Limbus detection and semantic segmentation refine iOCT placement in X-Y and Z planes.
A rule-based system fine-tunes scan centering on target anatomical structures.

Main Results:

The automated method was validated on ex vivo porcine eyes, achieving mean positioning accuracies of 0.298 mm.
The average execution time for scan positioning was 15 seconds.
The system was successfully implemented on a Carl Zeiss OPMI LUMERA 700 with RESCAN 700.

Conclusions:

A fully automated iOCT scanner positioning method has been successfully developed.
Voice command integration frees surgeons from manual device manipulation, allowing greater focus on surgical tasks.
This advancement is expected to increase the adoption and utility of iOCT in operating rooms.