Molecular chemical imaging endoscopic imaging systems
The instant disclosure provides for medical imaging systems that may be used in conjunction with an intraoperative medical device, such as an endoscope. Generally, the disclosed medical imaging systems include an illumination source configured to generate illuminating photons for illuminating a biological sample. An optical signal modulator is configured to separate one or more of the illuminating photons and photons that have interacted with the biological sample into a first optical signal having first multi-passband wavelengths and a second optical signal having second multi-passband wavelengths. At least one detector is configured to detect one or more of the first optical signal and the second optical signal and generate at least one image data set. A processor is configured to analyze the at least one image data set. In some embodiments, the processor is configured to differentiate between structures of the biological sample, such as between an ureter and surrounding tissue.
1. An imaging system for use in an endoscope, the imaging system comprising:
an illumination source configured to illuminate a sample that includes anatomical structures 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 differs from the second wavelength;
at least two detectors comprising a first detector configured to detect the first plurality of interacted photons and a second detector configured to detect the second plurality of interacted photons, the first detector configured to generate a first image data set corresponding to the first plurality of interacted photons and the second detector configured to generate a second image data set corresponding to the second plurality of interacted photons, respectively; and
a processor configured to analyze the first image data set and the second image data set to differentiate the anatomical structures by differentiating a ureter from surrounding tissue,
wherein the first detector and second detector are arranged to provide real-time images displayed in stereo vision.
2. The imaging system of claim 1 , wherein the illumination source wherein the illumination source includes at least one of a quartz tungsten halogen light source, a metal halide light source, a light emitting diode (LED), a laser, or a broadband illumination source.
3. The imaging system of claim 2 , wherein the light emitting diode (LED) includes at least one of a LED array having a uniform selection of emitters which emit over a constant wavelength range, a LED array having a plurality of emitters which emit over a diversity of wavelength ranges, a pulsed LED, or a pulsed LED array.
4. A method of differentiating a ureter from surrounding tissue, comprising:
illuminating a biological sample that includes anatomical structures with illuminating photons to generate interacted photons;
collecting, with an endoscope, the interacted photons that have interacted with the biological sample;
modulating the interacted photons into a first optical component and a second optical component prior to passing the interacted photons on to at least one detector;
passing the first optical component and second optical component on to at least one detector;
detecting, with at least one detector, the first optical component and the second optical component to generate a first image data set (T1) corresponding to the first optical component and a second image data set (T2) corresponding to the second optical component; and
analyzing the first image data set (T1) and the second image data set (T2) to differentiate the anatomical structures, and providing real-time images displayed in stereo vision.
5. The method of claim 4 , wherein the modulating is performed by an optical signal modulator comprising two or more of conformal filters, multivariate optical element (MOE) filters, patterned etalon filters, acousto-optical tunable filters (AOTF), liquid crystal tunable filters (LCTF), or multi-conjugate filters.
6. The method of claim 4 , wherein analyzing comprises applying one or more chemometric technique to the first image data set (T1) and the second image data set (T2), the one or more chemometric techniques being selected from the group consisting of multivariate curve resolution analysis, principle component analysis (PCA), partial least squares discriminant analysis (PLSDA), k means clustering analysis, band t entropy analysis, adaptive subspace detector analysis, cosine correlation analysis, Euclidian distance analysis, partial least squares regression analysis, spectral mixture resolution analysis, spectral angle mapper metric analysis, spectral information divergence metric analysis, Mahalanobis distance metric analysis, and spectral unmixing analysis.
7. A medical imaging system for differentiating anatomical structures comprising:
an illumination source configured to generate illuminating photons to illuminate a biological sample that includes anatomical structures and produce a plurality interacted photons;
an endoscope configured to collect interacted photons that have interacted with the sample;
an optical signature modulator configured to modulate the interacted photons into a first optical component and a second optical component prior to passing the interacted photons on to at least one detector;
a detector configured to detect the first optical component and the second optical component to generate a first image data set (T1) corresponding to the first optical component and a second image data set (T2) corresponding to the second optical component;
a processor configured to analyze the first image data set (T1) and the second image data set (T2) to differentiate the anatomical structures by differentiating a ureter from surrounding tissue, and
at least two detectors arranged to provide real-time images displayed in stereo vision.
8. The medical imaging system of claim 7 , wherein the optical signature modulator comprises two or more of conformal filters, multivariate optical element (MOE) filters, patterned etalon filters, acousto-optical tunable filters (AOTF), liquid crystal tunable filters (LCTF), or multi-conjugate filters.
9. The medical imaging system of claim 7 , wherein the processor analysis comprises applying one or more chemometric technique to the first image data set (Ti) and the second image data set (T2), the one or more chemometric techniques being selected from the group consisting of multivariate curve resolution analysis, principle component analysis (PCA), partial least squares discriminant analysis (PLSDA), k means clustering analysis, band t entropy analysis, adaptive subspace detector analysis, cosine correlation analysis, Euclidian distance analysis, partial least squares regression analysis, spectral mixture resolution analysis, spectral angle mapper metric analysis, spectral information divergence metric analysis, Mahalanobis distance metric analysis, and spectral unmixing analysis.
10. A system comprising a processor and a non-transitory processor-readable storage medium in operable communication with the processor, the storage medium containing one or more instructions that when executed cause the processor to:
analyze a first image data set (T1) and a second image data set (T2) to differentiate anatomical structures by differentiating a ureter from surrounding tissue, and
provide real-time images displayed in stereo vision,
wherein the first image data set (T1) and the second image data set (T2) are obtained by illuminating a biological sample that includes anatomical structures with illuminating photons to generate interacted photons; collecting, with an endoscope, the interacted photons that have interacted with the biological sample; modulating the interacted photons into a first optical component and a second optical component prior to passing the interacted photons on to at least one detector; passing the first optical component and second optical component on to at least one detector; and detecting, with at least one detector, the first optical component and the second optical component to generate a first image data set (T1) corresponding to the first optical component and a second image data set (T2) corresponding to the second optical component.
11. The system of claim 10 , wherein the instructions cause the processor to analyze by applying one or more chemometric technique to the first image data set (Ti) and the second image data set (T2), the one or more chemometric techniques being selected from the group consisting of multivariate curve resolution analysis, principle component analysis (PCA), partial least squares discriminant analysis (PLSDA), k means clustering analysis, band t entropy analysis, adaptive subspace detector analysis, cosine correlation analysis, Euclidian distance analysis, partial least squares regression analysis, spectral mixture resolution analysis, spectral angle mapper metric analysis, spectral information divergence metric analysis, Mahalanobis distance metric analysis, and spectral unmixing analysis.