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A Protocol for Real-time 3D Single Particle Tracking
Published on: January 3, 2018
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Real-time corneal segmentation and 3D needle tracking in intrasurgical OCT
Brenton Keller1, Mark Draelos1, Gao Tang2
1Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Biomedical Optics Express
|September 28, 2018
Summary
This study introduces automatic quantitative depth measurement for ophthalmic surgery, improving surgical instrument control. Real-time corneal segmentation and needle tracking enhance deep anterior lamellar keratoplasty (DALK) accuracy and reduce perforations.
Area of Science:
- Ophthalmology
- Medical Imaging
- Surgical Technology
Background:
- Standard operating microscopes offer limited depth perception, challenging precise ophthalmic surgery.
- Current optical coherence tomography (OCT) in microscopes provides only qualitative depth estimates.
- Accurate depth control is crucial for procedures like deep anterior lamellar keratoplasty (DALK).
Purpose of the Study:
- To develop and validate methods for automatic quantitative depth measurement in OCT volumes.
- To guide needle insertions during ex vivo deep anterior lamellar keratoplasty (DALK).
- To improve surgical precision and patient outcomes in DALK procedures.
Main Methods:
- Real-time, two-surface corneal segmentation within OCT volumes.
- Automated needle tracking in 3D OCT data.
- Application of these methods for guiding DALK needle insertions.
Main Results:
- Surgeons demonstrated improved ability to reach target depth using the developed methods.
- A statistically significant decrease in corneal perforation incidence was observed.
- Quantitative depth measurement enhanced surgical accuracy in ex vivo DALK.
Conclusions:
- The developed automatic quantitative depth measurement methods enhance surgical precision.
- These techniques show potential to increase DALK success rates and improve patient outcomes.
- Real-time OCT-based guidance offers significant advantages for ophthalmic surgery.
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