Hyperspectral Imaging Cancer Application

Hyperspectral imaging consists of acquisition and analysis of images recorded using a number of different wavelengths of light (spectral bands). If we capture the same object on many bands of the spectrum, we could generate a data cube - each slice revealing different information depending on the chemical properties of the object.

Different types of tissue have different composition, physical and chemical. Therefore, once an algorithm is created to distinguish each tissue type, the data could be presented in such a way that facilitates a surgeon during an operation. Here is an example of an image taken during an open surgery and processed later to identify areas of residual tumors (cyan color):

Work was done while at HyperMed, Inc: HyperMed