Abstract:
Methods and systems of identifying oral cancer in vivo are disclosed. An oral cavity of a patient is illuminated with a plurality of illuminating photons. A plurality of interacted photos are received from the oral cavity. The interacted photons may have been absorbed, reflected, scattered or emitted by the oral cavity. The interacted photons are filtered into first and second polarized multi-passband wavelengths using first and second tunable conformal filters, respectively. A detector captures the first and second polarized multi-passband wavelengths. A processor automatically discriminates between cancerous tissue and non-cancerous tissue in an image resolved from the first and second polarized multi-passband wavelengths.
Abstract:
System and method for detecting and monitoring edema in a patient are described. Initially, a patient's tissue is irradiated with light by a light source. A detector collects reflected light from the patient's tissue and generates data associated with the reflected light. A processing device receives the data and reflected light and calculates an intensity of the reflected light. The processing device then determined, based upon the intensity of the reflected light, whether the patient's tissue exhibits any symptoms of edema. Additionally, the processing device can compare a current intensity of the reflected light against historic information to monitor for any changes in a patient's edema level or severity.
Abstract:
This disclosure is directed to systems and methods for fusing Raman data with biomarker data to identify a disease and/or the progression of the disease. The system disclosed herein may include an illumination source for generating interacted photons from a biological sample and a detector for detecting the interacted photons to generate a Raman data set. A processor is included to fuse the Raman data set with a biomarker data set to identify a disease and/or a disease progression. The instant disclosure further includes a method comprising illuminating a biological sample to generate interacted photons, and detecting the interacted photons to generate a Raman data set. A biomarker data set is obtained from the biological sample, and the Raman data set is fused with the biomarker data set to generate an index score. The index score correlates with one or more of a disease and a disease progression.
Abstract:
Systems of methods of combining imaging modalities for improved target detection within a sample are disclosed herein. The system can be configured to receive two or more images captured using different imaging modalities, create a score image from one of the captured images, fuse the second image and the score image together, identify the target within the score image or the fused image, register the received images together, and overlay the detected target on the first image. The first image can include an image captured using molecular chemical imaging and the second image can include a RGB image, for example.
Abstract:
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.
Abstract:
Devices, systems, and methods for distinguishing tissue types are described herein. Such devices and systems may use dual polarization, conformal filters to acquire image data from target tissues and a processor to create an image in which the contrast between tissues has been enhanced.
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.
Abstract:
Methods for improved tissue perfusion monitoring are disclosed. A method includes collecting hyperspectral image data from an image sensor positioned to collect interacted photons from a tissue region resulting from illumination of the tissue sample at a plurality of wavelengths in the visible, near infrared, or shortwave infrared regions. Hypercubes are generated based on the collected hyperspectral image data. The hypercubes are analyzed to identify one or more of the plurality of wavelengths resulting in contrast in the hyperspectral images. One or more regions in the tissue region with altered perfusion states are identified based on the contrast in the hyperspectral images. A tissue perfusion monitoring computing device and non-transitory medium are also disclosed.
Abstract:
Systems and methods designed to determine tumor histological subtypes in order to guide a surgical procedure. The systems and methods illuminate biological tissue in order to generate a plurality of interacted photons, collect the interacted photons, detect the plurality of a interacted photons to generate at least one hyperspectral image, and analyze a hyperspectral image by extracting a spectrum from a location in the hyperspectral image. The location should correspond to an area that is of interest in the biological tissue.
Abstract:
Medical conditions in tissues are simultaneously imaged and treated using light within selected wavelength ranges. By treating conditions, such as wounds, lesions, and tumors, at the same time that they are imaged, the overall diagnostic and treatment time is substantially reduced.