We are using Extended Cross-Correlation (XCC) to identify which chemicals are present in breast tissue and are correlated with precancerous changes. XCC is a pattern recognition technique that was recently developed to enable spectroscopists to identify peaks corresponding to the same chemical in a mixture of chemicals. It is especially suited for extracting those chemicals that are present in a mixture when the signals are both complex and initially unknown. Thus, this technique will enable us to characterize the different chemicals that are normally found in breast tissue. Once we know which chemicals are present, we can then correlate chemical concentrations with pathology. Finally, with this knowledge we can then develop a suitable algorithm for diagnosing breast cancer based on Raman spectra.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR002594-13
Application #
6281770
Study Section
Project Start
1998-06-01
Project End
1999-05-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
13
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02139
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