Discrimination of calculi and tissues with molecular chemical imaging
AssigneeChemImage Corporation
InventorsJeffrey Cohen, Patrick Treado, Shona Stewart, Heather Gomer, Arash Samiei, Alyssa Zrimsek, Jihang Wang
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Abstract
Systems and methods for the detection of calculi in the biliary system are disclosed. The systems include an illumination source, one or more filters that filter a first set of illumination photons and a second set of illumination photons, as well as associated processors and detectors. The system is also designed to generates image data sets and generated information related to the location of the calculi.
Claims18
An imaging system for discriminating a calculus from surrounding tissue, comprising:
- an illumination source configured to generate illuminating photons;
- one or more filters configured to filter a first plurality of illuminating photons and generate a first plurality of filtered photons comprising first-multi-passband wavelengths and a second plurality of filtered photons comprising second multi-passband wavelengths, wherein the first multi-passband wavelengths correspond to a background and the second multi-passband wavelengths correspond to the calculus, wherein a sample is illuminated with the first plurality of filtered photons to generate a first plurality of interacted photons and a second plurality of interacted photons;
- and
- one or more detectors configured to detect the first plurality of interacted photons and the second plurality of interacted photons and generate a first image data set corresponding to the first plurality of interacted photons and a second image data set corresponding to the second plurality of interacted photons, wherein the first image data set and the second image data set each comprise hyperspectral data;
- and
- a processor that processes the first image data set and the second image data set and generates, using a multivariate algorithm, information related to a location of the calculus with respect to surrounding tissue based on the first image data set and the second image data set.
An imaging system for discriminating a calculus from surrounding tissue, comprising:
- an illumination source configured to illuminate the calculus and surrounding tissue to thereby generate interacted photons;
- one or more filters configured to filter one or more of a first plurality of the interacted photons and transmit first multi-passband wavelengths and a second plurality of interacted photons and transmit second multi-passband wavelengths, wherein the first multi-passband wavelengths correspond to a background and the second multi-passband wavelengths correspond to the calculus;
- one or more detectors configured to detect the first multi-passband wavelengths and the second multi-passband wavelengths and generate a first image data set corresponding to the first multi-passband wavelengths and a second image data set corresponding to the second multi-passband wavelengths, wherein the first image data set and the second image data set each comprise hyperspectral data, a processor that processes the first image data set and the second image data set and generates, using a multivariate algorithm, information related to a location of the calculus with respect to surrounding tissue based on the first image data set and the second image data set.
An imaging system for discriminating a calculus from surrounding tissue, comprising:
- an illumination source configured to illuminate the calculus and surrounding tissue with one or more of a first plurality of illuminating photons having a first wavelength to generate a first plurality of interacted photons and a second plurality of illuminating photons having a second wavelength to generate a second plurality of interacted photons, wherein the first wavelength corresponds to a background and the second wavelength corresponds to the calculus;
- one or more detectors configured to detect the first plurality of interacted photons and the second plurality of interacted photons to generate a first image data set corresponding to the first plurality of interacted photons and a second image data set corresponding to the second plurality of interacted photons, wherein the first image data set and the second image data set each comprise hyperspectral data;
- and
- a processor that processes the first image data set and the second image data set and generates, using a multivariate algorithm, information related to a location of the calculus with respect to surrounding tissue based on the first image data set and the second image data set.
A method of discriminating a calculus from surrounding tissue, comprising:
- generating illuminating photons;
- filtering a first plurality of illuminating photons and generate a first plurality of filtered photons comprising first-multi-passband wavelengths and a second plurality of filtered photons comprising second multi-passband wavelengths, wherein the first multi-passband wavelengths correspond to a background and the second multi-passband wavelengths correspond to the calculus, wherein a sample is illuminated with the first plurality of filtered photons to generate a first plurality of interacted photons and a second plurality of interacted photons;
- and
- detecting the first plurality of interacted photons and the second plurality of interacted photons and generate a first image data set corresponding to the first plurality of interacted photons and a second image data set corresponding to the second plurality of interacted photons, wherein the first image data set and the second image data set each comprise hyperspectral data;
- and
- processing the first image data set and the second image data set and generating, using a multivariate algorithm, information related to a location of the calculus with respect to surrounding tissue based on the first image data set and the second image data set.
A method of discriminating a calculus from surrounding tissue, comprising:
- illuminating the calculus and surrounding tissue to thereby generate interacted photons;
- filtering one or more of a first plurality of the interacted photons and transmitting first multi-passband wavelengths and filtering a second plurality of interacted photons and transmitting second multi-passband wavelengths, wherein the first multi-passband wavelengths correspond to a background and the second multi-passband wavelengths correspond to the calculus;
- detecting the first multi-passband wavelengths and the second multi-passband wavelengths and generating a first image data set corresponding to the first passband wavelength and a second image data set corresponding to the second passband wavelength, wherein the first image data set and the second image data set each comprise hyperspectral data, and
- processing the first image data set and the second image data set and generating, using a multivariate algorithm, information related to a location of the calculus with respect to surrounding tissue based on the first image data set and the second image data set.
A method for discriminating a calculus from surrounding tissue, comprising:
- illuminating the calculus and surrounding tissue with one or more of a first plurality of illuminating photons having a first wavelength to generate a first plurality of interacted photons and a second plurality of illuminating photons having a second wavelength to generate a second plurality of interacted photons, wherein the first wavelength corresponds to a background and the second wavelength corresponds to the calculus;
- detecting the first plurality of interacted photons and the second plurality of interacted photons to generate a first image data set corresponding to the first plurality of interacted photons and a second image data set corresponding to the second plurality of interacted photons, wherein the first image data set and the second image data set each comprise hyperspectral data;
- and
- processing the first image data set and the second image data set and generating, using a multivariate algorithm, information related to a location of the calculus with respect to surrounding tissue based on the first image data set and the second image data set.
Dependencies are inferred from the claim text.