研究目的
Investigating the use of hyperspectral imaging (HSI) to discriminate between thyroid and parathyroid tissues during surgery to support surgeons in identifying these structures.
研究成果
Hyperspectral imaging can provide specific spectral signatures for thyroid and parathyroid tissues, enabling their discrimination during surgery. This pilot study demonstrates the potential of HSI for automatic, real-time identification of these glands, though further studies with larger patient numbers are needed to refine spectral signatures and classification algorithms.
研究不足
The amplitude and shape of the absorbance spectra of thyroid and parathyroid depend on the patient data, indicating variability due to individual physiology, current disease, and the time point of acquisition. Measurements are susceptible to external light sources, requiring specific conditions during acquisitions.
1：Experimental Design and Method Selection:
Hyperspectral imaging was used to acquire data from seven patients during thyroid and parathyroid operations. The system combines a camera with a spectrometer to measure light spectra in the range of 500 to 1000 nm.
2：Sample Selection and Data Sources:
HSI measurements were performed during thyroid and parathyroid surgery of seven patients operated for benign pathologies.
3：List of Experimental Equipment and Materials:
The hyperspectral imaging system TIVITA? Tissue (Diaspective Vision GmbH, Germany) was used, including a CMOS camera, a spectrometer, and an illumination component.
4：Experimental Procedures and Operational Workflow:
The system was used to acquire hyperspectral data cubes, with the thyroid and parathyroid glands manually annotated as regions of interests (ROI) by a surgeon.
5：Data Analysis Methods:
The mean normalized absorbance spectra in the ROIs of both structures were generated and analyzed to define spectral signatures for automatic classification.
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