Abstract: Disclosed is a method for supporting disease analysis, the method including classifying, on the basis of images obtained from a plurality of analysis target cells contained in a specimen collected from a subject, a morphology of each analysis target cell, and obtaining cell morphology classification information corresponding to the specimen, on the basis of a result of the classification; and analyzing a disease of the subject by means of a computer algorithm, on the basis of the cell morphology classification information.

Abstract: Provided is a diagnosis system for anterior eye diseases. An image obtainer obtains an anterior eye image of an image obtainer configured to obtain an anterior eye image of a subject. A characteristic extractor extracts characteristic information of the obtained anterior eye image on the basis of a machine-learning model. A disease analyzer determines whether or not an anterior eye of the subject has a disease and classifying a disease class according to the extracted characteristic information.

Abstract: A method and apparatus is disclosed that provides improved techniques and metrics used to improve the “Quality of Experience Delivered” (“QED”) for use in Private Enterprise networks. The method and apparatus provides normalized metrics used for assessing all service types for performance. Focus is placed on latent scores and allowing for a range of acceptable operational scores. Observation points are identified and metrics collection is performed at the ingress and egress points for functional/application/node/service levels. Assessment based on packet sizes groups is enabled, rather than as an aggregate for better understanding of the tunability of the application layer for improved service. Burstiness of the traffic is gauged to allow for improved scheduling in the RAN. Individual deployments are adapted to assess ?G and assess ?S and ?V for end-to-end performance management.

Abstract: Disclosed is a three dimensional mechanical ultrasound probe, which includes a transducer, a driving motor and a transmission mechanism configured to drive the transducer to reciprocatingly oscillate within a predetermined angle. The transmission mechanism includes a transducer base fixed and connected with the transducer, a face gear arranged on the transducer base, and a cylindrical gear meshed with the face gear. A rotating shaft of the face gear is positioned on the transducer base, and the face gear drives the transducer base to reciprocatingly oscillate. A transmission shaft is arranged on the axis of the cylindrical gear, and the transmission shaft is connected with the driving motor. The three dimensional mechanical ultrasound probe provided by the present application aims at simplifying the internal structure of the three dimensional mechanical ultrasound probe, reducing the internal installation complexity and improving motion stability.

Abstract: A system and method for generating augmented segmented image set obtain are provided. The method may include: obtaining a first image including a first anatomical structure of a first object; determining first feature data of the first anatomical structure; determining one or more first transformations related to the first anatomical structure, wherein a first transformation includes a transformation type and one or more transformation parameters related to the transformation type; applying the one or more first transformations to the first feature data of the first anatomical structure to generate second feature data of the first anatomical structure; and generating a second image based on the second feature data of the first anatomical structure.

Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.

Abstract: System and method for imaging a target site with a housing assembly having a head unit configured to be at least partially directed towards the target site. An optical coherence tomography (OCT) module and stereoscopic visualization camera are at least partially located in the head unit and configured to obtain a first set and a second of volumetric data of the target site, respectively. A controller is configured to register the first set of volumetric data with the second set of volumetric data to create a third set of registered volumetric data. The third set of registered volumetric data and second set of volumetric data are rendered, via a volumetric render module, to a first and second region. The first region and the second region are overlaid to obtain a composite shared view of the target.

Abstract: An ultrasound diagnostic apparatus (1) includes an ultrasound probe (2) and a diagnostic apparatus main body (3) that are wirelessly connected, the ultrasound probe (2) includes a detection unit (16) that generates complex baseband signals, an averaging unit (17) that averages the complex baseband signals at a plurality of sampling points in a Doppler gate set on a B-mode image to acquire average complex baseband signals, and a probe-side wireless communication circuit (20) that wirelessly transmits the average complex baseband signals, and the diagnostic apparatus main body (3) includes a main body-side wireless communication circuit (31) that receives the average complex baseband signals, and a Doppler image generation unit (33) that performs a frequency analysis on the average complex baseband signals to generate a Doppler image, and displays the Doppler image on a monitor (36).

Abstract: This notification device (100) of a notification system (10) detects a portion of the body of a person from distance information from a proximity sensor (110) and image information from an image sensor (120) when an approaching object is a person, and causes an ultrasonic irradiation device (130) to irradiate the detected portion of the body of the person with ultrasonic waves that can generate tactile sensation.

Abstract: Method and relative system for the measurement of haemodynamic indices, said method comprising: acquiring an ultrasound image of at least one segment of an arterial vessel; identifying in said image at least one sample volume; obtaining a time series indicating the blood velocity, or velocity signal (9), in said sample volume and in at least one cardiac cycle; calculating, by means of a processor, a first area (4) equal to the area subtended by the velocity signal (9) between the sample (6) relating to the instant of systole start of said at least one cardiac cycle and the sample (7) of systolic peak; calculating, by means of a processor, a second area (5) subtended by the velocity signal (9) between the sample (7) of systolic peak and the sample (8) relating to the instant of end diastole of said at least one cardiac cycle; calculating the relationship between the second area (5) and the first area (4); selecting a time instant of interest in said at least one cardiac cycle; obtaining the spatial distributio

Abstract: Mitigating a user interface display function of a modular energy system includes receiving formatted video data at a video data converter circuit, providing differential video signaling data to the display from the video data converter circuit, providing a copy of the differential video signaling data to a processor, and determining that the differential video signaling data is changing over time. Mitigating erroneous outputs from an isolated interface includes receiving a state of a first switch of a first footswitch coupled to a first comparator and a reference voltage coupled to the first comparator, receiving the state of the first switch coupled to the first duplicate comparator and the reference voltage coupled to the first duplicate comparator, comparing the output of the first comparator with the output of the first duplicate comparator, and determining activation or deactivation of a surgical instrument coupled to the controller based on the comparison.

Abstract: In order to improve both spatial resolution and sensitivity for brain research and clinical activity, we have designed a combined PET/MRI insert for brain scanning, referred to herein as a “BrainPET insert” that can be fit onto and into a suitable MRI system. The BrainPET Insert comprises, in order, a receive (Rx) coil positioned within and adjacent to a transmit (Tx) coil and a PET ring, wherein both the Rx coil and the Tx coil are within the PET ring.

Abstract: A model of flow through a left ventricular assist device (LVAD) can be used for preoperative planning of implantation of the LVAD into a patient and/or optimization of the LVAD after implantation into the patient are described. At least one imaging data set related to a patient and at least one physiological data set related to the patient can be received. An ideal parameter related to the LVAD can be determined based on the at least one imaging data set related to the patient, the at least one physiological data set related to the patient using a model of circulation in a large spatial region of the patient's body and a three-dimensional anatomical model of at least one component of the region of the patient's body and at least one component of the LVAD. Flow patterns within the three-dimensional anatomical model are calculated using computational fluid dynamics.

Abstract: Provided is a testing method for determining an oral indicator by which an oral indicator can be determined. The testing method for determining an oral indicator includes an image acquisition step of acquiring an ultrasonic image of an inside of an attached gingiva of a subject, using a measurement probe, an average brightness acquisition step of acquiring average brightness of the ultrasonic image, and an indicator determination step of determining an oral indicator of the subject by referring to the average brightness and a reference of an oral indicator.

Abstract: A method for displaying graphical indications associated with a joint includes: receiving image data associated with a joint of a subject; generating a three-dimensional model of at least a portion of the joint of the subject using the image data; identifying at least one region of the joint that deviates from a baseline anatomy by comparing at least a portion of the three-dimensional model to a baseline model; generating at least one measurement of a characteristic of the joint at one or more predefined locations using the three-dimensional model and a coordinate system; displaying a spectrum bar graph that comprises at least one representation of the at least one measurement of the characteristic of the joint; determining a pathology associated with the joint based on the at least one measurement of the characteristic of the joint; and displaying at least one graphical indication indicating the pathology associated with the joint.

Abstract: A diagnosis assistance device includes a control unit that generates line data indicating an intensity value of a reflected wave from an object, which is present in a transmission direction of ultrasound, for each combination of a movement position of an ultrasound transducer that radially transmits the ultrasound while being moved inside a biological tissue and the transmission direction of the ultrasound with reference to an observation result of a cross section of the biological tissue by the ultrasound transducer and generates a detection image which includes pixels corresponding to the generated line data and in which pixels corresponding to the line data at the same movement position are arranged in one direction. Pixels corresponding to the line data in the same transmission direction are arranged in a direction perpendicular to the one direction, and each pixel value is set according to an abnormality degree of the generated line data.

Abstract: Systems and methods for image processing of a skin feature may include receiving from at least one image sensor associated with a mobile communications device a first and a second images of a skin feature. The skin feature has multiple segments of differing colors and differing sizes, and the second image is captured at least a day after the first image is captured. The method may further include analyzing data associated with the first and second images to determine a condition of the skin feature based on changes over time of the multiple segments. The method may also include determining, based on the determined condition of the skin feature, a medical action for treating the skin feature during a time period. Then, the method may include causing a mobile communications device to display information indicative of the determined medical action.

Abstract: A surgery optimizing method performed by a computer is provided. The method includes generating a plurality of genes corresponding to a surgical procedure based on the surgical procedure composed of at least one detailed surgical operation, performing virtual surgery on each of the plurality of genes to evaluate whether surgery is optimized, selecting at least one gene among the plurality of genes based on the evaluation result to apply a genetic algorithm, and applying the genetic algorithm to generate a new gene and deriving an optimal surgical procedure based on the new gene.

Abstract: A system for planning and performing a repeat interventional procedure is provided which includes a registration device and an image generation device which map current targets in a reference image for a first interventional procedure to at least one guidance image acquired from a different imaging modality. Biopsy locations are recorded to the guidance images during the first interventional procedure and the biopsy locations are mapped to the reference image to provide a planning image for use in a subsequent interventional procedure on the patient. In a subsequent interventional procedure, the prior planning image (124) may be registered to a current reference image and the prior biopsy locations and prior and current targets are mapped to a guidance image acquired from a different imaging modality. Biopsy locations are then mapped to the guidance image and mapped back to the current reference image.

Abstract: A display device for an ultrasound image, according to one embodiment of the present invention, comprises: an input/output interface unit including a touch screen for displaying an ultrasound image of a biological tissue so as to recognize a user's touch point when the user touches the touch screen on which the ultrasound image is displayed; an edge detection unit for detecting at least one edge portion that is adjacent to the recognized touch point on the ultrasound image; and a control unit for controlling an edge curve, corresponding to the detected edge portion, to be superposed and displayed onto the ultrasound image, and detecting size information about the biological tissue according to the type of the displayed edge curve, wherein the input/output interface outputs, according to the control of the control unit, the detected size information.

Abstract: A system and method includes determination of a projection axis associated with the two-dimensional projection image, generation of a second two-dimensional image from the three-dimensional image based on the projection axis, registration of the two-dimensional projection image with the second two-dimensional image, combination of the registered two-dimensional projection image with the three-dimensional image in a plane of the three-dimensional image substantially orthogonal to the projection axis, and display of the combined image.

Abstract: A series of images is obtained from an endoscope. Three-dimensional reconstruction is performed on the series of images to reconstruct anatomy shown in the series of images. A graphic, such as a grid, is rendered based on the three-dimensional reconstruction, over the series of images resulting in an enhanced endoscopic video feed to be shown on a display.

Abstract: Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.

Abstract: In accordance with some embodiments, systems, methods, and media for automatically localizing and diagnosing thyroid nodules are provided. In some embodiments, a system for automatically diagnosing thyroid nodules comprises: an ultrasound machine; and a processor programmed to: receive a B-mode ultrasound of a thyroid from the ultrasound machine; provide the B-mode ultrasound to a classification model trained to automatically segment B-mode ultrasound; receive an output indicating which portions of the B-mode ultrasound correspond to a nodule; provide at least a portion of the B-mode ultrasound corresponding to the nodule to a second classification model trained to automatically classify thyroid nodules based B-mode, color Doppler, and shear wave elastography ultrasound; and receive, from the second trained classification model, an output indicative of the likelihood that the nodule is malignant.

Abstract: The present invention relates to a device (10) for determining the position of stents (34, 36) in an image of vasculature structure, the device (10) comprising: an input unit (12); a processing unit (14); and an output unit (16); wherein the input unit (12) is configured to receive a sequence of images (24) of a vasculature structure (38) comprising at least one vessel branch (44, 46); wherein the processing unit (14) is configured to: detect positions of at least two markers (26, 28, 30, 32) for identifying a stent position (50, 52) in at least one of the images (24); detect at least one path indicator (64, 66, 74, 76) for the at least one vessel branch (44, 46) in at least one of the images (24) of the vasculature structure (38) at least for vessel regions in which the positions of the markers (26, 28, 30, 32) are detected; associate the at least two markers (26, 28, 30, 32) to the at least one path indicator (64, 66, 74, 76) based on the detected positions of the markers (26, 28, 30, 32) and the location o

Abstract: A system and method of monitoring a procedure includes a medical device. The medical device includes an elongate device including a flexible body, a tracking system disposed along at least a portion of the flexible body, and one or more processors communicatively coupled to the tracking system. The one or more processors are configured to receive a route to a target location in an anatomy, determine one or more features of the route based on a first anatomical representation, generate a reduced anatomical representation based on the one or more features of the route, receive real-time position information from the tracking system, associate the real-time position information to the reduced anatomical representation, and dynamically display the reduced anatomical representation with the associated real-time position information.

Abstract: A heat flux sensor including two temperature sensors is used to obtain time-series data of a core temperature of a living body, and a blood flow rate in a vicinity of the heat flux sensor is measured by a blood flow sensor. In an arithmetic circuit, a delay time until a fluctuation of the core temperature of the living body is reflected on an epidermis temperature is calculated on the basis of the blood flow rate measured by the blood flow sensor and a previously prepared relation between the blood flow rate and the delay time until the fluctuation of the core temperature of the living body is reflected on the epidermis temperature, and a time corresponding to the core temperature of the living body on the basis of the delay time is corrected.

Abstract: Driving an emitter to emit pulses of electromagnetic radiation according to a jitter specification in a hyperspectral, fluorescence, and laser mapping imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a driver for driving emissions by the emitter according to a jitter specification. The system is h that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of a hyperspectral emission, a fluorescence emission, and/or a laser mapping pattern.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: Lung conditions are diagnosed and optionally treated using a functional assessment catheter or a functional lung assessment and treatment catheter. A flow restrictive component is initially placed in a bronchus or lung passageway upstream from a diseased lung region. The isolated lung region is then functionally assessed through the catheter, while the flow restrictive component remains in place. If the patient is a good candidate for treatment by occlusive or restrictive treatment techniques, the flow resistive component may be left in place. If the patient is not suitable for such treatment, the flow resistive component may be removed.

Abstract: An image processing method includes: obtaining DCE magnetic resonance images corresponding to a plurality of time points for a same detection target; determining average pixel grayscale values of images of a same lesion region in the DCE magnetic resonance images of the plurality of time points respectively; determining a time to peak according to the average pixel grayscale values corresponding to the plurality of time points; and generating a first-stage time-intensity image before the time to peak and a second-stage time-intensity image after the time to peak respectively according to the DCE magnetic resonance images and the time to peak. The first-stage time-intensity image and the second-stage time-intensity image are 3D images. A pixel grayscale value of each pixel in the first-stage time-intensity image and the second-stage time-intensity image represents a change rate of blood supply intensity and reflects a severity level of a lesion corresponding to the lesion region.

Abstract: A method of displaying fluorescence intensity in an image includes displaying a target reticle covering a region of the image; calculating a normalized fluorescence intensity within the target reticle; and displaying the normalized fluorescence intensity in a display region associated the target.

Abstract: Presented herein are systems and methods for performing three-dimensional measurements of a surgical space using two-dimensional endoscopic images. According to an aspect, video data taken from an endoscopic imaging device can be used to generate a three-dimensional model of the surgical space represented by the video data. In one or more examples, two-dimensional images from the video data can be used to generate a three-dimensional model of the surgical space. In one or more examples, the one or more two-dimensional images of the surgical space can include a fiducial marker as part of the image. Using both the depth information and a size reference provided by the fiducial marker, the systems and methods herein can generate a three-dimensional model of the surgical space. The generated three-dimensional model can then be used to perform a variety of three-dimensional measurements in a surgical cavity in an accurate and efficient manner.

Abstract: A method includes receiving, by a computing device, device information for a user device and user environment devices; sending, by the computing device, image templates to the user device using the device information; adjusting, by the computing device, device settings on the user device and the user environment devices in response to a selection of an image template of the image templates; receiving, by the computing device, an image from the user device; comparing, by the computing device, the image to a target image; determining, by the computing device, the image is acceptable; and in response to determining the image is acceptable, sending, by the computing device, the acceptable image to a third party.

Abstract: A system and method provide for image-guided implant placement as a function of at least one intraoperative image during a surgical procedure. At least one computing device is configured by executing code stored in non-transitory processor readable media to process at least one preoperative image to assess axial rotation and/or sagittal pelvic inclination. Further, as a function of a plurality of identified anatomical landmarks in the at least one preoperative image, at least one of distances, angles, and areas is measured. Thereafter, as a function of calculations associated with the at least one of distances, angles, and areas, axial rotation associated with at least one image is measured. Thereafter, at least one value associated with placement of an implant during the surgical procedure is adjusted and information associated therewith is provided via a graphical user interface.

Abstract: A photodynamic therapy (PDT) apparatus and method are disclosed. The PDT apparatus includes a light flap that includes a plurality of light emitting devices wherein each of the light emitting devices has a plurality of operating states. The plurality of operating states are used to train a neural network model capable of producing a treatment irradiance profile. The method includes using an image of an area of interest for targeted treatment of PDT wherein the image is used an input to the trained neural network model. The neural network model produces a plurality of optimized feature states and the apparatus in turn produces a treatment irradiance profile closely matching the area of interest.

Abstract: An acoustic wave device includes: an insertion object having a photoacoustic wave generator; an insertion object image signal generator that generates an insertion object image signal from a reception signal of an acoustic wave from the photoacoustic wave generator; a first signal width detector that detects a first signal width of a portion of a predetermined signal strength in the insertion object image signal; and an insertion object display image signal generator that generates, in a case where the first signal width is larger than a second signal width, an insertion object display image signal of a width having a center at a peak position of the insertion object image signal and corresponding to the second signal width, and generates, in a case where the first signal width is smaller than the second signal width, an insertion object display image signal having a width smaller than the second signal width.

Abstract: An electrocardiography device (ECG device) designed for use in combination with a magnetic resonance device, including: a carrier unit; a receiving unit designed to mount on the carrier unit; an electrode; an electrode conductor connecting the electrode to the receiving unit, wherein the electrode conductor is stabilized at least partially by way of a shapeable guide element.

Abstract: Described herein is a projector and illumination module configured for scene illumination and pattern projection. The projector and illumination module includes at least one array of a plurality of individual emitters and at least one optical system. Each of the individual emitters is configured for generating at least one illumination light beam. The at least one optical system includes at least one array of a plurality of transfer devices. The at least one array of the plurality of transfer devices includes at least one transfer device for each of the individual emitters. The at least one array of the plurality of transfer devices includes at least two groups of transfer devices. The transfer devices of one of the groups are configured for generating at least one illumination pattern. The transfer devices of the other group are configured for generating diverging light beams.

Abstract: To plan tumor treating fields (TTFields) therapy, a model of a patient's head is often used to determine where to position the transducer arrays during treatment, and the accuracy of this model depends in large part on an accurate segmentation of MRI images. The quality of a segmentation can be improved by presenting the segmentation to a previously-trained machine learning system. The machine learning system generates a quality score for the segmentation. Revisions to the segmentation are accepted, and the machine learning system scores the revised segmentation. The quality scores are used to determine which segmentation provides better results, optionally by running simulations for models that correspond to each segmentation for a plurality of different transducer array layouts.

Abstract: A diffuse optical tomography (DOT) system for generating a functional image of a lesion region of a subject is described. The DOT system includes a source subsystem configured to generate optical waves, a probe coupled to the source subsystem and configured to emit the optical waves generated by the source subsystem toward the lesion region and to detect optical waves reflected by the lesion region, a detection subsystem configured to convert the optical waves detected by the probe to digital signals, and a computing device including a processor and a memory. The memory includes instructions that program the processor to receive the digital signals sent from the detection subsystem and perform reconstruction using a depth-regularized reconstruction algorithm combined with a semi-automated interactive convolutional neural network (CNN) for depth-dependent reconstruction of absorption distribution.

Abstract: Embodiments can provide a visual indicator system, attachable to a medical imaging patient bed. The visual indicator system comprising: one or more light strips, each light strip comprising a plurality of lights; a distance meter, attachable to one end of the medical imaging patient bed; a storage device, configured to store one or more preconfigured finger gestures; and a microcontroller. The one or more light strips are attachable to the medical imaging patient bed; wherein the microcontroller is configured to illuminate the one or more light strips after the one or more preconfigured finger gestures are made with respect to the one or more light strips. A position of the illumination of the light strip corresponds to a position of performing the one or more preconfigured finger gestures and one or more distance measurements received from the distance meter.

Abstract: Embodiments of the present disclosure relate to techniques for facilitating personalized neuromodulation treatment protocols. In one embodiment, a predetermined treatment position of an energy application device is used to guide future treatments for the patient. In one embodiment, a position of the energy application device relative to the predetermined treatment position is determined. In one embodiment, a total dose of ultrasound energy applied to the region of interest is determined.

Abstract: A method includes receiving or generating a volume map of at least a portion of a cavity of an organ of a body including a plurality of mapped locations, and a point cloud of locations in the cavity marked for treatment. The volume map is updated by removing a portion of the mapped locations, so that the locations marked for treatment fall on a surface of the volume map. Using the updated volume map, a map of at least a portion of the cavity is generated, the map including the locations marked for treatment. The map is displayed to user.

Abstract: A compression member which compresses a breast placed between a radiation source and a radiation detector, wherein at least a partial region of at least one surface of the compression member that does not come into contact with the breast is roughened. A support member and a mammography apparatus are also provided.

Abstract: Systems and methods for treating a subject with a psychiatric disorder are provided in which a therapy session is conducted. In the therapy session, each respective expression image in a plurality of expression images is sequentially displayed. Each expression image is independently associated with an expression. The successive display of images is construed as a tiled series of expression image subsets, each consisting of N expression images. Upon completion of the display of each respective subset, the user is challenged as to whether the first and the last images in the respective subset exhibit the same emotion. A score is determined for the respective subset based on whether the subject learned to respond correctly. The number of images in each subset is adjusted to a new number based on these scores. A treatment regimen is prescribed to the subject for the psychiatric disorder based at least in part on the scores.

Abstract: A lithotripsy apparatus includes: a treatment laser beam source that emits a treatment laser beam that crushes a stone; a guide light source that emits guide light; a photodetector that detects return light that returns as a result of the emitted guide light being reflected at the stone; and a processor including hardware, the processor being configured to: measure a distance from the treatment laser beam source to the stone on the basis of the return light; determine a condition of a bubble occurring between the treatment laser beam source and the stone on the basis of the measured distance; and adjust a light quantity of the treatment laser beam on the basis of the determined condition of the bubble.

Abstract: Various systems are provided for an adjustable tilting head holder. In one example, a system comprises an adjustable tilting head holder for use with an imaging system the adjustable head holder comprising a head cradle, a tilt adjustment mechanism with a plurality of locking positions arranged below a first end of the head cradle, a table mount extending from a second end of the head cradle, and a tilt adjustment bar that extends from the table mount through the tilt adjustment mechanism, wherein the first end and the second end of the head cradle are located at opposite ends of the head cradle.

Abstract: Embodiments of this application disclose methods, systems, and devices for medical image analysis and medical video stream processing. In one aspect, a method comprises extracting video frames from a medical image video stream that includes at least two pathological-section-based video frames. The method also comprises identifying single-frame image features in the video frames, mapping the single-frame image features into single-frame diagnostic classification results, and performing a classification mapping based on a video stream feature sequence that comprises the single-frame image features. The classification mapping comprises performing a convolution operation on the video stream feature sequence through a preset convolutional layer, obtaining a convolution result in accordance with the convolution operation, and performing fully connected mapping on the convolution result through a preset fully connected layer.

Abstract: An example of a method for time-resolved calculation of a deformation of a body comprises calculating (110) a model of the body during the deformation. The method further comprises calculating (120) a predicted X-ray image for the body for a plurality of time points during the deformation based on the model. The method further comprises obtaining (130) one measured X-ray image of the body each for the time points during the deformation. The method further comprises modifying (140) the model based on the predicted X-ray images and the measured X-ray images.