Comparison of different spectral cameras for image-guided organ transplantation
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
SIGNIFICANCE: Hyperspectral and multispectral imaging (HMSI) in medical applications provides information about the physiology, morphology, and composition of tissues and organs. The use of these technologies enables the evaluation of biological objects and can potentially be applied as an objective assessment tool for medical professionals. AIM: Our study investigates HMSI systems for their usability in medical applications. APPROACH: Four HMSI systems (one hyperspectral pushbroom camera and three multispectral snapshot cameras) were examined and a spectrometer was used as a reference system, which was initially validated with a standardized color chart. The spectral accuracy of the cameras reproducing chemical properties of different biological objects (porcine blood, physiological porcine tissue, and pathological porcine tissue) was analyzed using the Pearson correlation coefficient. RESULTS: All the HMSI cameras examined were able to provide the characteristic spectral properties of blood and tissues. A pushbroom camera and two snapshot systems achieve Pearson coefficients of at least 0.97 compared to the ground truth, indicating a very high positive correlation. Only one snapshot camera performs moderately to high positive correlation (0.59 to 0.85). CONCLUSION: The knowledge of the suitability of HMSI cameras for accurate measurement of chemical properties of biological objects offers a good opportunity for the selection of the optimal imaging tool for specific medical applications, such as organ transplantation.
Details
Original language | English |
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Article number | 076007 |
Number of pages | 18 |
Journal | Journal of Biomedical Optics |
Volume | 26 |
Issue number | 7 |
Publication status | Published - 24 Jul 2021 |
Peer-reviewed | Yes |
External IDs
Scopus | 85112322965 |
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Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- hyperspectral imaging, multispectral imaging, organ transplant