Non-invasive in vivo tissue classification using near-infrared measurements
US6405065B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2000 |
| Grant date | Jun 11, 2002 |
| Priority date | — |
| Expiry date | Jan 19, 2020 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S128/923
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An in vivo, non-invasive method of tissue classification using near-IR (NIR) spectral measurements. A classification model is based on NIR spectral absorbance measurements from an exemplary population. Spectral features representing variation between tissue types are identified. Analytic techniques enhance the features of interest and correct spectral interference to improve the predictive ability of the classification model. A classification routine defines classes based on variation between tissue types, such that variation within a class is small compared to variation between classes. A decision rule assigns individual samples from the exemplary population to classes. An in-vivo, non-invasive procedure applies the classification model to individual tissue samples. A preferred embodiment of the invention distinguishes transgenic mice from non-transgenic individuals based on variation in fat composition within muscle tissue.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.