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SU-E-J-67: A Potential New Technique to Measure Respiratory Tidal Volume Using Optical Surface Imaging: A Geometric
Medical Physics
|May 19, 2017
Summary
Optical surface imaging (OSI) accurately measures torso volume changes, crucial for dynamic respiratory tidal volume assessment. This non-invasive method shows high precision compared to standard techniques.
Area of Science:
- Medical Imaging
- Biophysics
- Respiratory Physiology
Background:
- Accurate measurement of dynamic respiratory tidal volume is essential for clinical applications.
- Existing methods for measuring torso volume changes during respiration have limitations.
- Optical Surface Imaging (OSI) offers a potential non-invasive solution.
Purpose of the Study:
- To evaluate the feasibility of using Optical Surface Imaging (OSI) for accurate measurement of torso volume changes.
- To develop a novel method for assessing dynamic respiratory tidal volume.
- To validate OSI against established volume measurement techniques.
Main Methods:
- Utilized a clinical OSI system to capture surface images of geometric and deformable torso phantoms.
- Calculated phantom volumes from surface images using a treatment planning system.
- Compared OSI volume measurements with theoretical calculations, water displacement experiments, and CT scans for deformable phantoms.
Main Results:
- OSI demonstrated high accuracy for geometric phantoms (0.0%±1.6% vs. geometric calculation; 0.6%±3.8% vs. water containment).
- For deformable torso phantoms, OSI measured volume changes with 1.5%±2.5% accuracy compared to CT imaging.
- A strong one-to-one correlation (r²=0.999) was observed between OSI and CT volume measurements.
Conclusions:
- The OSI system accurately measures both static phantom volumes and dynamic torso volume changes.
- OSI provides a precise, non-invasive method for assessing respiratory volume changes, with an overall accuracy of approximately 3%.
- Further investigation involving human subjects is warranted to confirm clinical utility.
Keywords:
Computed tomographyLinear regressionMaterials modificationMedical imagingMedical treatment planningOptical imagingPneumodynamicsSurface dynamicsSurface opticsSurface treatments
