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Pediatric Brain Tissue Segmentation Using a Snapshot Hyperspectral Imaging (sHSI) Camera and Machine Learning

Naomi Kifle1, Saige Teti2, Bo Ning1

  • 1Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.

Bioengineering (Basel, Switzerland)
|October 28, 2023
PubMed
Summary

Snapshot hyperspectral imaging (sHSI) aids pediatric brain tumor surgery by distinguishing healthy tissue from tumors in real-time. This technology offers high specificity, improving surgical guidance during tumor resection.

Keywords:
neurosurgerypediatric brain tumorrandom forestsegmentationsnapshot hyperspectral imaging

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Area of Science:

  • Medical imaging
  • Oncology
  • Surgical technology

Background:

  • Pediatric brain tumors are a significant cause of childhood cancer.
  • Accurate intraoperative assessment of tumor margins is crucial but challenging.
  • Current biopsy methods for margin assessment can be time-consuming and lack precision.

Purpose of the Study:

  • To evaluate the efficacy of snapshot hyperspectral imaging (sHSI) for real-time segmentation of healthy brain tissue from lesions in pediatric patients undergoing tumor resection.
  • To assess the performance of different sHSI spectral bands (RGB, visible, infrared) in differentiating tumor margins.

Main Methods:

  • sHSI data (RGB, visible, infrared) were collected from four pediatric patients during brain tumor resection surgery using a system integrated into an operating microscope.
  • A random forest classifier was employed for data analysis and tissue segmentation.
  • Performance was evaluated using intersection of union (IoU) for segmentation and specificity for tumor detection.

Main Results:

  • The RGB sHSI model achieved the highest average IoU (0.76).
  • Tumor segmentation demonstrated high specificity, with the RGB model reaching 0.996, followed by infrared (0.93) and visible (0.91) models.
  • Despite a small dataset, sHSI successfully segmented healthy tissues from lesions with high accuracy.

Conclusions:

  • Snapshot hyperspectral imaging is a promising technology for real-time intraoperative guidance in pediatric brain tumor surgery.
  • sHSI enables accurate differentiation between healthy brain tissue and tumors, potentially improving surgical outcomes.
  • Further research with larger datasets is warranted to fully establish sHSI's role in neuro-oncology.