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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
Published on: January 15, 2013
Dynamic time domain near-infrared optical tomography based on a SPAD camera
Jingjing Jiang1, Aldo Di Costanzo Mata1, Scott Lindner1,2,3
1Biomedical Optics Research Laboratory, University Hospital Zurich and University of Zurich, Switzerland.
This study accelerates dynamic imaging for time domain near-infrared optical tomography (TD NIROT) using a SPAD camera. The enhanced system successfully located a moving object in simulated tissue, demonstrating faster oxygenation monitoring capabilities.
Area of Science:
- Biomedical Optics
- Medical Imaging Technology
- Photonics
Background:
- Dynamic changes in tissue oxygenation are crucial for various clinical applications.
- Time domain near-infrared optical tomography (TD NIROT) offers potential for observing these dynamic changes.
- Achieving fast imaging speeds remains a significant challenge for current TD NIROT systems.
Purpose of the Study:
- To accelerate data acquisition for a handheld TD NIROT system.
- To enable rapid dynamic imaging of oxygenation changes.
- To validate the system's performance in a simulated tissue environment.
Main Methods:
- Developed a handheld TD NIROT system incorporating a single photon avalanche diode (SPAD) camera and 11 light sources.
- Accelerated the data acquisition process for the TD NIROT system.
- Tested the system on a diffusive phantom simulating biological tissue with an embedded moving object.
- Utilized 3D image reconstruction techniques to analyze the acquired data.
Main Results:
- Successfully accelerated data acquisition for the TD NIROT system.
- The system accurately located a moving object within the simulated tissue.
- Effective 3D image reconstruction was achieved with a short exposure time of 0.2 seconds per source.
Conclusions:
- The accelerated TD NIROT system demonstrates feasibility for dynamic oxygenation monitoring.
- The use of SPAD cameras and optimized data acquisition enhances imaging speed.
- This technology holds promise for improved clinical applications requiring real-time tissue oxygenation assessment.
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