Abstract:
In some embodiments, a computer-implemented method of generating a visualization of wavelength-dependent surface characteristics is provided. A computing device receives an input image captured by a camera, wherein the input image includes information in a low-dimensional color space. The computing device processes the input image to determine spectrum band information in a high-dimensional color space that corresponds to the input image. The computing device extracts subtractive information from the spectrum band information to obtain wavelength-dependent surface characteristic information, The computing device generates the visualization using the wavelength-dependent surface characteristic information. In some embodiments, the computing device may be a smartphone.
Abstract:
Systems and methods for enhancing quality of a flow image of a sample of a subject are provided. The method comprises acquiring a first flow image from a plurality of first OMAG scans of the sample, and acquiring a structure image from a second OMAG scan of the sample. Data based on pixel intensity values from the flow image and pixel intensity values from the structure image are then plotted onto a graph and from the graph, may be differentiated into a first data group representing static structure signals and a second data group representing flow signals. The method then includes suppressing pixels in the flow image corresponding to the first data group. The flow signal may also be multiplied by a weighting factor to suppress artifacts in the image.
Abstract:
The present technology relates generally to systems and methods for in vivo visualization of lymphatic vessels. A system includes an optical coherence tomography (OCT) device and a computing device coupled to the OCT device configured to cause the OCT device to perform an OCT scan, generate image data in response to the OCT scan, and apply an eigendecomposition filter to the image data to produce processed image data. Alternatively or in addition, the computing device can compensate for scattering attenuation along an optical axis of the OCT scan in the image data set to generate compensated image data, enhance contrast of the compensated image data along a cross-section substantially orthogonal to the optical axis to generate contrast-enhanced image data, and identify at least one lymphatic vessel in the image data.
Abstract:
A five-index quantitative analysis of OCT angiograms is disclosed. One method of analyzing an anatomical region of interest of a subject includes acquiring vascular image data from the region of interest and generating a binary vasculature map from the vascular image data. A vessel skeleton map and vessel perimeter map are generated from the binary vasculature map. Based on the three generated maps, a vessel area density, vessel skeleton density, vessel perimeter index, vessel diameter index, and vessel complexity can be determined, in addition to detection of any flow impairment zones in the region of interest. These metrics can be used to detect and assess vascular abnormalities from multiple perspectives.
Abstract:
A method for imaging blood flow through target tissue is disclosed. An example method may include (a) directing a light beam at a blood-perfused target tissue, (b) reflecting the directed light beam off of static target tissue and flowing cells, (c) capturing a plurality of digital images of interference patterns of the reflected light in a plurality of successive frames, (d) measuring a light intensity of at least one pixel of each digital image, where the at least one pixel corresponds to an identical pair of coordinates in each successive frame, (e) comparing the measured light intensity of the at least one pixel of each digital image to the measured light intensity of the at least one pixel of an adjacent frame at the identical pair of coordinates and (f) determining a compiled light intensity for the at least one pixel for an aggregate motion contrast.
Abstract:
In some embodiments, a computer-implemented method of generating a visualization of wavelength-dependent surface characteristics is provided. A computing device receives an input image captured by a camera, wherein the input image includes information in a low-dimensional color space. The computing device processes the input image to determine spectrum band information in a high-dimensional color space that corresponds to the input image. The computing device extracts subtractive information from the spectrum band information to obtain wavelength-dependent surface characteristic information, The computing device generates the visualization using the wavelength-dependent surface characteristic information. In some embodiments, the computing device may be a smartphone.
Abstract:
Systems and methods of forming optical coherence tomography (OCT) images of tissue near a cavity of subject are disclosed herein. In one embodiment, a method of forming an image includes transmitting light pulses toward a region of interest near the cavity and receiving light backscattered from the region of interest using an imaging probe. The imaging probe includes a nosepiece configured to be at least partially received into the cavity. An image of the region of interest is formed using the backscattered light received from the region of interest.
Abstract:
Handheld optical imaging devices and methods are disclosed herein. In an embodiment, an optical coherence tomography (OCT) system includes an OCT probe that is configured as a hand-held probe for imaging an eye of a patient, the OCT probe includes: an OCT optical system configured to direct a source OCT signal to the eye and configured to capture OCT scan signal returning from the eye; and an on-probe display carried by a handle, wherein the on-probe display is configured to display imaging data of the eye of a patient to an operator during OCT imaging.
Abstract:
In some embodiments, a computer-implemented method of automatically predicting progression of age-related macular degeneration is provided. An image analysis computing system receives optical coherence tomography data (OCT data). The image analysis computing system determines an optical attenuation coefficient for each pixel of the OCT data to create optical attenuation coefficient data (OAC data) corresponding to the OCT data. The image analysis computing system determines an area exhibiting geographic atrophy based on at least one of the OCT data and the OAC data. The image analysis computing system measures one or more attributes within an adjacent area that is adjacent to the area exhibiting geographic atrophy, and the image analysis computing system determines a predicted enlargement rate based on the one or more attributes within the adjacent area.
Abstract:
A method of measuring blood oxygenation including acquiring one or more images of a portion of a body with an RGB camera, converting RGB colors in the one or more images into a multispectral data imaging cube, wherein the multispectral date imaging cube comprises a red channel, a blue channel, and a green channel, decoupling an oxygenated blood information and a deoxygenated blood information from the multispectral data imaging cube based on a first reflectance of the green channel and a second reflectance of the red channel, and determining a blood measurement based on the oxygenated blood information and the deoxygenated blood information.