Paper
24 April 1998 Hemodynamic information obtained by statistical analysis of near-IR spectroscopic images
Michael G. Sowa, Jeri R. Payette, Mark D. Hewko, James R. Mansfield, Henry H. Mantsch
Author Affiliations +
Proceedings Volume 3257, Infrared Spectroscopy: New Tool in Medicine; (1998) https://doi.org/10.1117/12.306097
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States
Abstract
The probability of transplanted skin remaining viable is often difficult to assess visually. The adverse circulatory changes following the surgical elevation of a skin flap limits the supply of oxygen to the flap tissue. Regions of tissue which experience prolonged and severe deprivation of oxygen will not survive. A dorsal rat skin flap model was used to demonstrate the potential of visible/near IR multispectral imaging to detect tissues under hypoxic stress. Images were acquired before and immediately after surgery. Image pre-processing methods were used to enhance tissue contrast and eliminate image artifacts. Principal component analysis of these images further enhanced contrast along the length of the flap while varimax rotation simplified data interpretation. Significant hemodynamic changes were detected (i) between pre- and post-operative images, and (ii) within the post-elevation flap image itself. K-means and fuzzy C-means image segmentation methods were applied to the post-operative multispectral images and proved to be reliable means of predicting regions of tissue that would go on to become visibly necrotic after a 72 h monitoring period. The result suggest that statistical analysis of visible/near IR multispectral images can be used to extract clinically relevant information pertaining to tissue hemodynamics following reconstructive surgery.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael G. Sowa, Jeri R. Payette, Mark D. Hewko, James R. Mansfield, and Henry H. Mantsch "Hemodynamic information obtained by statistical analysis of near-IR spectroscopic images", Proc. SPIE 3257, Infrared Spectroscopy: New Tool in Medicine, (24 April 1998); https://doi.org/10.1117/12.306097
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Cited by 3 scholarly publications.
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KEYWORDS
Multispectral imaging

Tissues

Reflectivity

Skin

Statistical analysis

Image segmentation

Absorption

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