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A Three-Dimensional Multivariate Image Proccessing Technique for the Analysis of FTIR Spectroscopic Images of Multiple Tissue Sections

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posted on 2009-12-08, 16:23 authored by Bayden R. Wood, Keith R. Bambery, Corey J. Evans, Michael A. Quinn, Don McNaughton
Background: Three-dimensional (3D) multivariate Fourier Transform Infrared (FTIR) image maps of tissue sections are presented. A villoglandular adenocarcinoma from a cervical biopsy with a number of interesting anatomical features was used as a model system to demonstrate the efficacy of the technique. Methods: Four FTIR images recorded using a focal plane array detector of adjacent tissue sections were stitched together using a MATLAB® routine and placed in a single data matrix for multivariate analysis using Cytospec™. Unsupervised Hierarchical Cluster Analysis (UHCA) was performed simultaneously on all 4 sections and 4 clusters plotted. The four UHCA maps were then stacked together and interpolated with a box function using SCIRun software. Results: The resultant 3D-images can be rotated in three-dimensions, sliced and made semi-transparent to view the internal structure of the tissue block. A number of anatomical and histopathological features including connective tissue, red blood cells, inflammatory exudate and glandular cells could be identified in the cluster maps and correlated with Hematoxylin & Eosin stained sections. The mean extracted spectra from individual clusters provide macromolecular information on tissue components. Conclusion: 3D-multivariate imaging provides a new avenue to study the shape and penetration of important anatomical and histopathological features based on the underlying macromolecular chemistry and therefore has clear potential in biology and medicine.

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Citation

BMC Medical Imaging, 2006, 6:12

Version

  • VoR (Version of Record)

Published in

BMC Medical Imaging

Publisher

BioMed Central Ltd

issn

1471-2342

Copyright date

2006

Available date

2009-12-08

Publisher version

http://www.biomedcentral.com/1471-2342/6/12

Language

en

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