Dataset Information

A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.

ABSTRACT:

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.

SUBMITTER: Wood BR

PROVIDER: S-EPMC1592472 | biostudies-literature | 2006 Oct

REPOSITORIES: biostudies-literature

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Publications

A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.

Wood Bayden R BR Bambery Keith R KR Evans Corey J CJ Quinn Michael A MA McNaughton Don D

BMC medical imaging 20061003

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 17014733

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Dataset Information

A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.

Background

Methods

Results

Conclusion

Publications

A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.

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