EXTENDED CROSS CORRELATION ANALYSIS OF RAMAN SPECTRA FOR BREAST CANCER DETECTION

用于乳腺癌检测的拉曼光谱的扩展互相关分析

• 批准号: 6314201
• 负责人: KAREN SHAFER
• 金额: $ 1.38万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-01 至 2001-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6314201
• 关键词: biomedical equipment development; biomedical resource; clinical research; female; human subject; human tissue; spectrometry; statistics /biometry; technology /technique; women's health

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.

我们正在使用扩展互相关（XCC）来识别哪些 化学物质存在于乳房组织中， 癌前病变 XCC是一种模式识别技术， 最近开发的，使光谱学家能够识别峰 对应于化学物质混合物中的相同化学物质。 是 特别适合于提取那些存在于 当信号既复杂又初始未知时，混合物。 因此，这项技术将使我们能够描述不同的 乳腺组织中常见的化学物质 一旦我们知道 哪些化学物质存在，我们就可以将化学物质 浓度与病理学。 最后，有了这些知识， 然后开发一个合适的算法来诊断乳腺癌， 在拉曼光谱上。