Infrared Spectroscopic Imaging for Prostate Pathology
Annual rept. 15 Feb 2007-14 Feb 2008
ILLINOIS UNIV CHAMPAIGN
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The report summarizes progress towards using Fourier transform infrared spectroscopic imaging for prostate pathology. The aim of the work is to enable histopathologic recognition without the use of human input or stains. The major accomplishments are 1. Optimization of experimental parameters for spectroscopic imaging experiments. The optimization provides an understanding of the classification process and allows 40 fold decrease in data acquisition time. 2. Classification of prostate histology using Genetic Algorithms. The work explicitly identifies spectroscopic biomarkers needed to classify tissue correctly. 3. A new method is introduced to reduce noise by nearly an order of magnitude. The method is based on post-processing to reduce non-correlated signals in images using the covariance of the recorded data. The method enables a 7 fold higher signal to noise ratio, which translates into a 50-fold faster data acquisition rate.
- Medicine and Medical Research