117results about "Medical imaging" patented technology

A system for generating contrast-enhanced magnetic resonance images of a subject includes an input configured to receive at least one non-contrast enhanced image of the subject, and a contrast-enhanced magnetic resonance (MR) image synthesis neural network coupled to the input and configured to generate a contrast-enhanced magnetic resonance image of the subject based on the at least one non-contrast enhanced image of the subject. The contrast-enhanced MR image synthesis neural network is trained using a set of training data comprising at least quantitative data.

Disclosed are methods for quantification of a perivascular space in a subject's central nervous system. The methods include administering contrast agent into cerebrospinal fluid of the subject; performing quantitative ultra-short time-to-echo contrast-enhanced magnetic resonance imaging (QUTE-CE MRI) on a region of interest of the subject's brain; and determining presence of the contrast agent in the perivascular space within the region of interest.

An iterative Kalman Filter method was developed to address the need for estimating randomly moving targets during cancer radiotherapy on a standard equipped linear accelerator. Extensive evaluation of this method using different treatment scenarios shows sub-mm accuracy and precision. In addition, the system and method allows the target (or surrogates of the target) to be monitored without the need of a learning arc, reducing additional imaging dose to the patient. In addition, the method and system performs robustly against imaging and segmentation noise.

A computer-implemented process for electromagnetic imaging, the process including the steps of: accessing scattering data representing, for each of a plurality of different electromagnetic wave energies, at least a corresponding two-dimensional array of measurements of electromagnetic wave scattering by internal features of an object, each said measurement representing scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the object, scattered within the object, and measured by a corresponding antenna of the array of antennas; processing the scattering data with a plurality of trained neural networks to generate corresponding compressed scattering data, wherein the trained neural networks process respective subsets of the scattering data corresponding to respective different separations between the emitting and measuring antennas; processing the compressed scattering data with a trained neural network to generate corresponding compressed dielectric distribution data; and processing the compressed dielectric distribution data with a trained decompressor to generated dielectric distribution data representing a spatial distribution of a dielectric property within the object.

An apparatus (10) for the detection of at least one parameter, in particular kinetic, in relation to the heart, or the myocardium (11) of a human being (13) or an animal, especially the apparatus (10) being usable during surgical operations, in particular performed on the heart, or myocardium, (11) itself, inside a corresponding operating theatre (15); comprising a detection means (12) for the detection of spatial or mechanical, movements of said heart, or myocardium, (11), and a control means, or processor, (14) of the apparatus, in particular adapted to, or configured to, process the signals, or data, provided by said detection means (12) for providing at least one corresponding parameter, in particular kinetic, in relation to the heart, or myocardium, (11) of a human being (13) or animal. Said detection means (12) for the detection of the spatial, or mechanical, movements of said heart, or myocardium, (11) is adapted to detect the distance, or depth, i.e. the variation in distance, or depth, of one or more points of said heart, or myocardium, (11), in particular of one or more points of a corresponding surface or wall of said same heart, or myocardium, (11), by the detection means (12) for detecting the spatial, or mechanical, movements of said heart, or myocardium, (11).

A system and method for planning surgical procedure including a treatment zone setting view presenting at least one slice of a 3D reconstruction generated from CT image data including a target. The treatment zone setting view presenting a treatment zone marker defining a location and a size of a treatment zone and configured to adjust the treatment zone marker in response to a received user input. The system and method further including a volumetric view presenting a 3D volume derived from the 3D reconstruction and a 3D representation of the treatment zone marker relative to structures depicted in the 3D volume.

The present invention relates to a system and method of skin detection of a human subject using a textile product. The textile product (10, 31, 43) is made from or comprising textile including near-infrared, NIR, absorbing pigments. It supports and / or partially covers the human subject while skin detection and / or detection / monitoring vital signs of the human subject is carried out. A increased contrast between the textile product and skin in the NIR wavelength range is thus achieved.

Systems and methods for determining the health status of a retina of a subject. An optical coherence tomography (OCT) volume image of a retina of a subject may be received. A health indication output is generated, via a deep learning model, using the OCT volume image. The health indication output indicates a level of association between the OCT volume image and a selected health status category for the retina. A map output for the deep learning model is generated using a saliency mapping algorithm, generating a map output for the deep learning model using a saliency mapping algorithm. The map output indicates a level of contribution of a set of regions in the OCT volume image to the health indication output generated by the deep learning model.

Methods and apparatuses for 3D imaging (including 3D optical coherence tomography imaging) to measure the shape of orthodontic aligners, teeth, and other oral structures simultaneously, in-vivo or in-vitro. These methods and apparatuses may be used to determine contact locations of aligners with teeth and / or teeth with other teeth with very high precision, including determining the size of gaps where they are not in contact. These measurements may be used design, modify or replace an aligner and / or to verify aligner fit. 3D models of the whole aligner and teeth may be generated.

A system for automatic assessment of therapy outcome in cancer patients treated with radiation therapy, the system comprising a machine-learning-based segmentation model for delineating tumours longitudinally in serial magnetic resonance imaging (MRI) with high precision. Longitudinal segmentations of tumour before and / or during treatment and / or at multiple follow-up sessions after the radiation therapy permits monitoring changes in tumour size and is used in the system for automatic assessment of therapy outcome based on standard clinical criteria.

A computer-implemented method of determining an unstenosed model of a region of bifurcation in a mammalian vascular tree, comprising: receiving image data of said region of bifurcation; determining a vascular model representation of said region of bifurcation; generating an interpolated vascular representation passing between two branches of said bifurcation based on said vascular model representation; and comparing said interpolated vascular representation with said vascular model representation to obtain an estimate of stenosis through said region of bifurcation.

The application discloses a kind of in vivo hippocampus cell multiphoton imaging device, first by brain injection system IRDye 800CW 2-DG marker is injected into the first target area (depth greater than 1.4mm, and contain hippocampus cell) of live animal, then by multiphoton imaging system using 1700nm waveband excitation its generation two-photon fluorescence signal, finally two-photon fluorescence signal is detected to obtain microscopic image.Wherein, the microscopic image shows the hippocampus cell of brain surface of live animal to preset depth (for example, 2060 μm depth).That is, the prior art uses the near-infrared fluorescent substance with higher effectiveness to inject into the target area, then excites by the soliton pulse signal of specific waveband range, and carries out microscopic imaging based on the generated multiphoton fluorescence signal, improves the effectiveness of imaging hippocampus cell (depth greater than 1.4mm), and verifies the cell type of live animal brain of IRDye 800CW 2-DG marker by the second near-infrared fluorescent substance.

A quantitative, ultrashort time to echo, contrast-enhanced magnetic resonance imaging technique is provided. The technique can be used to accurately measure contrast agent concentration in the blood, to provide clear, high-definition angiograms, and to measure absolute quantities of cerebral blood volume on a voxel-by-voxel basis.

Various techniques are disclosed to provide for improved human body temperature detection using thermal images of an inner canthus. In one example, a method includes capturing a thermal image of a human being using a thermal imager. The method also includes determining an uncompensated temperature measurement associated with an inner canthus of a face of the human being using corresponding pixels of the thermal image. The method also includes determining a correction term as a function of a distance between the thermal imager and the human being. The method also includes applying the correction term to the uncompensated temperature measurement to provide a corrected temperature measurement associated with the inner canthus to compensate for attenuation associated with the distance. Additional methods and systems are also provided.

Systems and methods are provided for a continual automatic registration of bone or bone-fragments, instruments, and implants based on only one additional X-ray without the need of changing the position of the X-ray source. A two-dimensional X-ray image is received, which X-ray image shows a surgical region of interest. Artificial intelligence assisted automatic detection and localization of objects such as bone or bone-fragments, tools (e.g., a drill) and / or implants combined with a priori information about the surgical procedure are used to compute their relative three-dimensional positions and orientations at any desired point in time. This registration of the objects can be repeated multiple times and can thus provide guidance in near real time.

Systems and methods in accordance with many embodiments of the invention include a motion evaluation system that trains a model to evaluate motion (such as, but not limited to, gait) through images (or video) captured by a single image capture device. In certain embodiments, motion evaluation includes predicting clinically relevant variables from videos of patients walking from keypoint trajectories extracted from the captured images.

Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

There are provided systems and methods comprising obtaining a sequence of images of a user, the sequence of images comprising a first image and a second image, determining data Doptical_flow_torso informative of a motion of at least part of a torso of the user between the first image and the second image, and feeding the data Doptical_flow_torso, or data derived from the data Doptical_flow_torso, to at least one machine learning model, to obtain biological data of the user.

A tracker, a surgical tracking system, and a method for operating the tracker are provided. The tracker comprises an interface configured to attach the tracker to a surgical object that is to be tracked. The tracker further comprises circuitry comprising a detector configured to detect electromagnetic radiation, wherein the circuitry is configured to generate a trigger signal upon detection of a change of intensity of electromagnetic radiation by the detector. The circuitry further comprises a plurality of emitters configured to emit electromagnetic radiation, wherein the circuitry is configured to control the plurality of emitters to emit electromagnetic radiation responsive to the trigger signal.

A detection method for detecting a detection target magnetic particle using an alternating excitation magnetic field includes: a step (S1) of acquiring, for a candidate magnetic particle, a Néel relaxation curve representing a relationship between a Néel relaxation time and a particle diameter; a step (S2) of acquiring, for the candidate magnetic particle, a Brownian relaxation curve representing a relationship between a Brownian relaxation time and the particle diameter; a step (S3) of determining, as an intersection point particle diameter, a particle diameter corresponding to an intersection point of the Néel relaxation curve and the Brownian relaxation curve; and a step (S4) of selecting, as the detection target magnetic particle, the candidate magnetic particle having a particle diameter larger than the intersection point particle diameter.

According to an embodiment, a medical image processing device includes processing circuitry. The processing circuitry acquires an angiographic image of a subject. The processing circuitry detects branch points of blood vessels of the subject on the basis of the angiographic image. The processing circuitry generates a blood vessel diagram, which is a diagram showing a blood vessel distribution, on the basis of the branch points.

An optical imaging system according to an embodiment disclosed in the present document may include: a laser module configured to radiate an ultrashort pulse laser beam; a microscope module configured to transmit the radiated ultrashort pulse laser beam to an eye of a subject and detect reflected light from the eye or (auto)fluorescence in the eye using an image sensor; a control module configured to generate a tau-related image in which a modification of tau proteins is detectable from the reflected light detected through the image sensor; and an output device configured to display the tau-related image.

This dementia information calculation method using two-dimensional (2D) magnetic resonance imaging (MRI) comprises the steps of: receiving, by an analysis device, inputs of 2D MRI slices of a subject; extracting, by the analysis device, regions of interest by inputting the 2D MRI slices to a segmentation model; predicting, by the analysis device, a cortical thickness of at least one region of the regions of interest and a volume of at least one region of the regions of interest, by inputting pixel information about the regions of interest to a pre-trained first learning model; and calculating, by the analysis device, dementia information about the subject by inputting the cortical thickness of the at least one region and the volume of the at least one region to a pre-trained second learning model.

In one aspect, a diagnostic method for imaging a target sample is disclosed, which includes concurrently illuminating the target sample with a temporally modulated white light that alternates between an “on” state and an “off” state and a continuous wave (CW) fluorescence-inducing light, acquiring visible image data from the target sample during the “on” state of the modulated white light, acquiring fluorescent image data from the target sample during the “off” state of the modulated white light, and processing the acquired visible and fluorescent image data to generate a reflection image and a fluorescent image of the target sample. In various embodiments, the gain of a camera utilized to acquire the reflection and the fluorescence image data can be changed when transitioning between the “on” and the “off” states of the white light source to compensate for a change in the intensity of light detected by the camera, or the intensity of the white light source can be adjusted to eliminate the need to change camera gain.

A computer-implemented method for evaluating an image data set that is based on a medical imaging method, including: acquiring the image data set; acquiring a body region depicted in the image data set; processing the image data set using a processing algorithm, wherein at least one processing parameter of the processing algorithm is specified depending on the determined body region; and / or checking a trigger condition, whose fulfillment depends on whether, for at least one area of image data, which is reconstructed depending on the image data set, local geometric factors of the parallel magnetic resonance imaging used as the medical imaging method indicate a sufficiently strong local reduction in the signal-to-noise ratio, wherein an anatomical feature is assigned to the respective area depending on the body region and the image data set when the trigger condition is fulfilled.

Described herein are methods for predicting treatment response to glutamate modulating agents, selecting treatment comprising glutamate modulating agents, for, and treating subjects with glutamate modulating agents, in subjects with autism spectrum disorder (ASD).

An electrosurgical instrument includes a pair of jaws, an endoscope configured to capture image data of a surgical site including the electrosurgical instrument, and an energy generator coupled to the electrosurgical instrument. The energy generator is configured to generate an energy output to the electrosurgical instrument. The system also includes an endoscope controller which includes a processor and a memory. The memory includes instructions stored thereon, which, when executed by the processor, cause the energy-based surgical system to access the captured image, determine a thickness of tissue grasped by the pair of jaws based on the image, and control the energy output of the energy generator based on the determined thickness.