A device and system for non-invasively measuring wavelength-dependent changes in optical absorption of brain tissue damaged by CTE, TBI, concussion, repetitive trauma, and/or Lou Gehrig's disease in comparison to signals from healthy normal tissue for a subject in vivo. The brain, tissues, and fluids superficial to the brain are trans-cranially illuminated by light source(s) in low-absorption spectral windows for tissue in the visible and/or near-infrared parts of the spectrum. Optode(s) are disposed at predetermined radial distance(s) from a light output to collect the scattered and/or deflected signal from the surface of the head. The predetermined radial distance from the light output to the optode is correlated with the depth of tissue penetration for the light collected by the optode. A spectrometer and computer analyze the collected light for characteristic optical signatures of the brain tissue damage utilizing the absorbance and/or reflectance and/or transmission spectra generated as a result.

A flexible printed circuit board (FPCA) of a brain computer interface (BCI) module is configured to interconnect a plurality of emitter assemblies and a plurality of detector assemblies of the BCI module. The FPCA comprises a connector portion for connecting the FPCA to a controller of the BCI module, a plurality of rigid sections, a plurality of flexible sections. A first subset of rigid sections is configured to mount the plurality of emitter assemblies. A second subset of rigid sections is configured to mount the plurality of detector assemblies. Each flexible section is configured to attach the two or more rigid sections of the plurality of rigid sections to each other. The plurality of flexible sections allows the plurality of emitter assemblies and the plurality of detector assemblies to stretch to conform to a head of a user.

This invention pertains to a fluorescence lifetime imaging microscopy (FLIM)-based method for the quantitative three-dimensional (3D) imaging of the metabolic status of a lesion, including the acquisition of FLIM data of a least one anaerobic glycolysis marker. This method applies in particular to lesions such as wounds and tumours, and to markers such as the NADH/NAD+ ratio, the NAD(P)H/NAD+ ratio, the NADH/FAD ratio, the NAD(P)H/FAD ratio or the FADH/FAD ratio as a first marker, and their optional combination with a second marker such as pH, oxygen tension, glucose, pyruvate and lactate.

A device and system for non-invasively measuring wavelength-dependent changes in optical absorption of brain tissue damaged by CTE, TBI, concussion, repetitive trauma, and/or Lou Gehrig’s disease in comparison to signals from healthy normal tissue for a subject in vivo. The brain, tissues, and fluids superficial to the brain are trans-cranially illuminated by light source(s) in low-absorption spectral windows for tissue in the visible and/or near-infrared parts of the spectrum. Optode(s) are disposed at predetermined radial distance(s) from a light output to collect the scattered and/or deflected signal from the surface of the head. The predetermined radial distance from the light output to the optode is correlated with the depth of tissue penetration for the light collected by the optode. A spectrometer and computer analyze the collected light for characteristic optical signatures of the brain tissue damage utilizing the absorbance and/or reflectance and/or transmission spectra generated as a result.

Methods are provided for the highlighting of features in composite images through the alternating of images having complementary colors. An image having a feature of interest is used to generate one or more pseudo color images. A series of a pseudo color images and one or more additional pseudo color or original color images are then alternately displayed so that the differently colored regions among the series of images are easily recognizable to an operator. The differently colored regions differ in having hues that are complementary to one another. The methods are particularly useful for the display of information using two or more imaging modalities and channels, such as is the case for some medical applications in which a natural-light image of pink or light-red tissue with deeper red or blue vasculature is overlaid with another functional image. In these cases, a feature present in the functional image can be more easily perceived when displayed in a composite overlay with an underlying image from another imaging modality or channel.

Techniques that facilitate three-dimensional (3D) delineation of tumor boundaries via one or more supervised machine learning algorithms are provided. An example embodiment includes a computer-implemented method that includes: extracting, by a computing system operatively coupled to a processor, one or more feature vectors from a time-series evolution of fluorescence distribution observed at a section of bodily tissue of interest, wherein the one or more feature vectors represent a physical model describing on-tissue dye dynamics of the section of bodily tissue; and generating, by the computing system, a classification attribute for the section of bodily tissue represented by the one or more feature vectors, wherein a pre-trained classifier designates the section of bodily tissue as a biopsy or a non-biopsy candidate through execution of the one or more supervised machine learning algorithms.

This invention relates generally to the detection of objects, such as stents, within intraluminal images using principal component analysis and/or regional covariance descriptors. In certain aspects, a training set of pre-defined intraluminal images known to contain an object is generated. The principal components of the training set can be calculated in order to form an object space. An unknown input intraluminal image can be obtained and projected onto the object space. From the projection, the object can be detected within the input intraluminal image. In another embodiment, a covariance matrix is formed for each pre-defined intraluminal image known to contain an object. An unknown input intraluminal image is obtained and a covariance matrix is computed for the input intraluminal image. The covariances of the input image and each image of the training set are compared in order to detect the presence of the object within the input intraluminal image.

The present method is a method for executing a computational fluid analysis on a blood flow at a blood vessel region to be analyzed, and displaying the analysis results, comprising the steps of: obtaining, by a computer, a vascular diameter (d) of an inlet and/or outlet of a blood vessel region to be analyzed from medical images which include said blood vessel region; obtaining, by the computer, an estimated flow rate (Q) at the inlet and/or outlet based on the vascular diameter (d); and applying, by the computer, the estimated flow rate (Q) to a blood flow characteristics pattern of said blood vessel region and outputting blood flow characteristics at the inlet and/or outlet of the analysis object site.

A membrane assembly for use with a three-dimensional imager to obtain a topographical plantar image of a foot is provided. The assembly includes a support structure having a front end and a rear end elevated relative to the front end, and a flexible membrane suspended from the support structure and configured to receive and support an entire plantar surface of the foot. The membrane defines and encloses an upper portion of an inflatable chamber, and includes a forefoot- and a rearfoot-receiving region respectively adjacent to the front and the rear end of the support structure. The rearfoot-receiving region is under less tension than the forefoot-receiving region. The imager is positionable under the membrane in order to acquire the plantar image when the foot is disposed on the membrane. An apparatus including a membrane assembly and a three-dimensional imager, and a method for imaging a foot are also provided.

A calibration method of an optical coherence tomography (OCT) device and a camera using the same target includes irradiating a shape measurement light to a calibration target, obtaining a surface shape image thereof by detecting light reflected by a surface of the calibration target using a shape measurement camera, and calibrating the surface shape image according to an actual shape of the calibration target; obtaining surface and internal three-dimensional images of the calibration target by scanning with a layer measurement light using the OCT measurement unit, extracting a surface shape image of the calibration target from the three-dimensional images, and calibrating the surface shape image according to the actual surface shape of the calibration target; and matching a calibration image obtained by the shape measurement camera and a surface calibration image obtained by the OCT measurement unit to be displayed at the same spatial coordinates.