Abstract: The blood flow analysis apparatus includes an acquisition unit and an extractor. The acquisition unit is configured to acquire blood flow information representing time-course changes in a blood flow velocity of a single retinal artery or retinal vein. The extractor is configured to extract one or more parameters corresponding to change in the blood flow velocity from the blood flow information.

Abstract: A display method and system for ultrasound-guided intervention. The method comprises: obtaining, via a probe, a data, wherein the data comprises at least a real-time ultrasound data and a real-time spatial orientation information of the probe; obtaining, by a processor, an ablation needle plan, wherein, the ablation needle plan comprises at least a probe marker for planning, a needle insertion path and a predicted ablation area corresponding to the needle insertion path, and the probe marker for planning is generated in a form that is able to indicate one side or multiple sides of the probe such that an orientation of the probe marker for planning represents a planned orientation of the probe; generating, by the processor, a guiding image for ultrasound-guided intervention according to the obtained data and the ablation needle plan; and displaying, by a display device, the guiding image.

Abstract: An apparatus for assessing a vessel of interest and a corresponding method are provided in which the modeling of the hemodynamic parameters using a fluid dynamics model can be verified by deriving feature values from the segmented vessel of interest and inputting these feature values into a classifier. The classifier may then determine, based on the feature values whether the segmentation has been performed from proximal to distal, from distal to proximal or cannot be determined from the provided data. An incorrect segmentation order can thus be identified and potentially be corrected, thereby avoiding inaccurate simulation results.

Abstract: Systems and methods are provided for the combination and display of both live and non-live patient images. The features described include collecting angiographic image data, and correlating angiographic image frames to time-varying data relating to the patient's heart cycle. This time-varying data may then be compared with the patient's live heart cycle data so that the collected angiographic image frames can be interlaced within a display of live fluoroscopic images of the patient.

Abstract: A method and system for calibrating fluorescence data in a multimodality image acquired from a vessel imaged by an imaging catheter. A fluorescence signal acquired by a first modality is calibrated by applying a first calibration factor based on a lumen distance and/or radiation angle from the catheter to the vessel wall. If a parameter of the calibrated fluorescence signal is different from a predetermined condition, a user is prompted to manually select a lumen boundary and/or a region of interest (ROI) on the image of the vessel. An optical attenuation property of the selected boundary and/or ROI is calculated based on backscattered radiation collected by a second modality, and the fluorescence signal is further calibrated by applying a second calibration factor based on the optical attenuation property.

Abstract: The present disclosure relates to techniques for segmenting tumors with positron emission tomography (PET) using deep convolutional neural networks for image and lesion metabolism analysis.

Abstract: Embodiments disclosed herein provide systems, methods and/or computer-readable media for automatically detecting and removing fluorescence artifacts from catheter-based multimodality OCT-NIRAF images. In one embodiment, a process of determining an automatic threshold value (automatic thresholding) is implemented by sorting characteristic parameter values of the NIRAF signal and finding a maximum perpendicular distance between a curve of the sorted values and a straight line from the highest to the lowest sorted value, combined with the use of unsupervised machine learning classification techniques to detect the frame's NIRAF values that correspond to signal artifacts. Once the signal artifacts are detected, the system can filter out the signal artifacts, correct the frames that had artifacts, and produce a more accurate multimodality image.

Abstract: Various implementations disclosed herein include devices, systems, and methods that enable more intuitive and efficient selection and positioning of visual effects. In some implementations, a visual effect is selected and a surface of a physical element is identified for application of the visual effect based on tracking one or more positions or gestures of a user's hand.

Abstract: A method may include obtaining an original image. The method may also include determining a plurality of decomposition coefficients of the original image by decomposing the original image. The method may also include determining at least one enhancement coefficient by performing enhancement to at least one of the plurality of decomposition coefficients using a coefficient enhancement model. The method may also include generating an enhanced image corresponding to the original image based on the at least one enhancement coefficient.

Abstract: A method for identifying material to be removed from a patient may use an imaging device, a display, a control unit, and an insertion device. The method may include obtaining a first set of image data from the imaging device, sending the first set of image data to the control unit from the imaging device, and analyzing the first set of image data based on at least one of a darkness, a contrast, or a saturation. The method may include generating a coded image identifying the material to be removed from the patient to be displayed on the display. The method may further include displaying the coded image on a first screen of the display, and indicating the material to be removed with the insertion device based on the displayed coded image.

Abstract: A medical image transmitting method includes obtaining a medical image generated by imaging an object; performing a first determination to determine whether the object has an abnormality, based on the medical image; performing a second determination to determine, based on the first determination, whether to transmit at least one assistance image associated with the medical image; and when the object has no abnormalities, transmitting, to an external apparatus, the medical image, thereby minimizing a data processing amount and a data transmission amount.

Abstract: This specification describes systems and methods for obtaining various patient related data for inflammatory bowel disease (IBD). The methods and systems are configured for using machine learning to determine measurements of various characteristics and provide analysis related to IBD. The methods and systems may also obtain and incorporate electronic health data as well as other relevant data of patients along with endoscopic data to use for prediction IDB progression and recommending treatment.

Abstract: A computing device and methods for tracking surgical imaging devices stores a preoperative image of patient tissue registered to a frame of reference of a tracking system; and receives, from a first imaging device, a first intraoperative image of a first region of the tissue, with a finer resolution than the preoperative image. The computing device receives a position of the first imaging device from the tracking system, and registers the first intraoperative image with the frame of reference. The computing device receives, from a second imaging device, a second intraoperative image of a second region of the patient tissue, with a finer resolution than the first intraoperative image. The computing device registers the second intraoperative image to the first intraoperative image; and controls a display to present the preoperative image overlaid with the first intraoperative image, and the first intraoperative image overlaid with the second intraoperative image.

Abstract: A medical image transmitting method includes obtaining a medical image generated by imaging an object; performing a first determination to determine whether the object has an abnormality, based on the medical image; performing a second determination to determine, based on the first determination, whether to transmit at least one assistance image associated with the medical image; and when the object has no abnormalities, transmitting, to an external apparatus, the medical image, thereby minimizing a data processing amount and a data transmission amount.

Abstract: The present disclosure provides a medical information processing apparatus that comprises: a selection unit that selects, from among candidate data including surgery data acquired during surgery, target data corresponding to selection conditions that include a condition relating to a patient attribute, a condition relating to a surgical-procedure type, and a condition relating to a disease type; an extraction unit that detects a feature from the selected target data and extracts, from the target data, feature data corresponding to the detected feature; and an editing processing unit that edits the extracted feature data, wherein the extraction unit extracts at least a medical image as the feature data.

Abstract: Accurately measuring bio-impedance is important for sensing properties of the body. Unfortunately, contact impedances can significantly degrade the accuracy of bio-impedance measurements. To address this issue, circuitry for implementing a four-wire impedance measurement can be configured to make multiple current measurements. The multiple current measurements set up a system of equations to allow the unknown bio-impedance and contact impedances to be derived. The result is an accurate bio-impedance measurement that is not negatively impacted by large contact impedances. Moreover, bad contacts with undesirably large impedances can be identified.

Abstract: The present disclosure provides systems and methods for tomography imaging. The systems and methods may obtain an ultrasonic signal indicating a movement state of a position of an object (e.g., a position inside the object). The ultrasonic signal may be acquired by at least one laser ultrasonic component of a medical device. The systems and methods may determine, based on the ultrasonic signal, movement information of the position of the object. The systems and methods may obtain, based on the movement information of the position, target image data of the object using an imaging component of the medical device.

Abstract: A method of operating a robotic surgical system includes monitoring a force applied at a surgical instrument attached to a robotic arm, comparing the force to a force threshold for a surgical procedure, providing a signal in response to the force being outside the force threshold, monitoring, using a reference array attached to a patient, a bone movement caused while the surgical instrument interacts with the patient, and adjusting control of the robotic arm based on the bone movement.

Abstract: An electronic medical record (EMR) management system includes an imager code scanner having a user input mechanism and is configurable in a plurality of operation modes, including a code scanning mode and an image capture mode. In the code scanning mode, the imager code scanner is configured to detect a two-dimensional code and output symbology code information representative of the detected two-dimensional code in response to a user input mechanism being engaged. In the image capture mode, the imager code scanner is configured to output a captured image in response to the user input mechanism being engaged. The EMR management system further includes an information management system communicatively coupled to the imager code scanner. The information management system is configured to receive the captured image output from the imager code scanner and incorporate the captured image into an EMR corresponding to a patient.

Abstract: A plurality of modules are simultaneously positioned at locations that correspond to different angiosomes. Each of these modules has a front surface shaped and dimensioned for contacting a person's skin, a plurality of different-wavelength light sources aimed in a forward direction, and a plurality of light detectors aimed to detect light arriving from in front of the front surface. Each module is supported by a support structure (e.g., a strap or a clip) that is shaped and dimensioned to hold the front surface adjacent to the person's skin at a respective position. Perfusion in each of the angiosomes is monitored using these modules, and the surgeon can rely on this information to guide his or her intervention.

Abstract: A diagnostic imaging support system that enables confirmation of abnormalities in anatomical regions of a brain includes capturing images of the brain, specifying regions in the captured images that correspond to the anatomical regions, searching a medical database for similar cases based information associated with the specified regions, and displaying the results of the search.

Abstract: A method for registering one or more surfaces associated with a bone for implant revision procedures includes a digitizer used to digitize surface points on remaining cement, bone surfaces, or both. The bone is adapted to hold a primary implant and from which the primary implant was removed. The position of the one or more surfaces associated with bone is registered by computing at least one of: a generic set of one or more planes using the surface points or a best match between a known implant geometry and the surface points. A computer-assisted surgical system is also provided to execute the method.

Abstract: A detector system for an x-ray imaging device includes a detector chassis, a plurality of sub-assemblies mounted to the detector chassis and within an interior housing of the chassis, the sub-assemblies defining a detector surface, where each sub-assembly includes a thermally-conductive support mounted to the detector chassis, a detector module having an array of x-ray sensitive detector elements mounted to a first surface of the support, an electronics board mounted to a second surface of the support opposite the first surface, at least one electrical connector that connects the detector module to the electronics board, where the electronics board provides power to the detector module and receives digital x-ray image data from the detector module via the at least one electrical connector. Further embodiments include x-ray imaging systems, external beam radiation treatment systems having an integrated x-ray imaging system, and methods therefor.

Abstract: Systems, methods, and computer readable media for determining cognitive impairment (CI) in patients are provided herein. Various regional structural-functional parameters of the retina can serve as biomarkers for the detection of CI. The method can include forming a database including a quantification of retinal structure and retinal function of a plurality of eyes associated with a plurality of patients, providing a baseline cognitive impairment (CI) reference. The method can include determining a measure of functionality of neurons in the retina based on an electroretinogram (ERG) of a patient. The method can include determining a structural measure of the first retina based on a generalized dimension spectrum and singularity spectrum of the skeletonized retinal image, and a lacunarity parameter of the skeletonized retinal image. The method can include determining a level of cognitive impairment based on the structural and functional measures.

Abstract: An improved method for time alignment (TA) procedure and crystal efficiency (CE) normalization estimation procedure for a PET scanner system is disclosed. In the TA procedure modeled time-of-flight (TOF) data are compared against the measured TOF data from an axially short cylinder phantom in order to find individual detector's time offsets (TOs). Then the TOs are estimated simultaneously by matching the TOF center of mass between the modeled and measured TOF data. In the CE estimation, TOF reconstruction of CBM data on the axially short cylinder phantom is performed. Alternating between TOF image reconstruction and CE updates eventually lead to the correct estimation of activity and CE component.

Abstract: An intraluminal imaging system is provided. The intraluminal imaging system includes a patient interface module (PIM) in communication with an intraluminal device comprising an ultrasound imaging component and positioned within a body lumen of a patient, a wireless router via an signal link, and a computing device in wireless communication with the wireless router, wherein the PIM comprises a processing component configured to receive an ultrasound echo signal from the ultrasound imaging component; and determine image data based on at least the ultrasound echo signal; and a power and communication component configured to receive power from the signal link; and transmit, to the computing device via the signal link and the wireless router, the image data.

Abstract: Embodiment of the present disclosure disclose a tomographic imaging system for reconstructing an image of an internal structure of an object. An incident wavefield is transmitted into the object occupying a background domain embedding the object. The incident wavefield is scattered into multiple scattered wavefield by the object. The incident and scattered wavefields are measured as a total wavefield. The total wavefield propagates through a computational domain and a residual domain in the background domain that are defined by cross-domain and residual measurement operators. The total wavefield is used for the image reconstruction. The image is reconstructed by solving an optimization problem corresponding to the computational domain. The optimization problem is solved iteratively to minimize a difference between the total wavefield and a wavefield synthesized using a measurement operator and a Green's function operator from the reconstructed image.

Abstract: A method for providing a secondary parameter, a decision support system, a computer-readable medium and a computer program product are disclosed. In an embodiment, the method is for providing a secondary parameter in a decision support system providing a primary parameter, in particular in a clinical decision support system. The method includes: providing an input data set; approximating a secondary parameter based on the input data set by using a sub-system being trained by a machine learning mechanism, in particular by a deep learning mechanism; and providing the approximated secondary parameter. The input data set is a shape data set.

Abstract: Surgical guidance systems and methods visually mark a structure of interest (SOI) of an organ on intraoperative images captured by a locatable imaging device. A location of the SOI relative to a body structure (e.g., a passageway system) associated with the organ is determined in a preoperative image that is captured by a medical diagnostic imaging (MDI) system. The location of the SOI relative to the body structure in the preoperative image is then mapped onto a reconstructed version of the body structure based on location information provided by localization sensors distributed on the body structure. An intraoperative image taken by the locatable imaging device is aligned with the reconstructed version of the body structure and an image object representing the SOI is overlaid on the intraoperative image at a location that is mapped from the reconstructed version of the body structure.

Abstract: A facility for procuring and analyzing information about an anatomical surface feature from a caregiver that is usable to generate an assessment of the surface feature is described. The facility displays information about the surface feature used in the assessment of the surface feature. The facility obtains user input and/or data generated by an image capture device to assess the surface feature or update an existing assessment of the surface feature.

Abstract: A method for calculating an index of microcirculatory resistance includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation; determining myocardial blood flow in a rest state and CFR; calculating total flow at the coronary artery inlet in a maximum hyperemia state; determining flow in different blood vessels in a coronary artery tree in the maximum hyperemia state and then determining a flow velocity V1 in the maximum hyperemia state; obtaining the average conduction time in the maximum hyperemia state Tmn, and calculating a pressure drop ?P from the coronary artery inlet to a distal end of a coronary artery stenosis, and a mean intracoronary pressure Pd at the distal end of the stenosis Pd=Pa??P, and calculating the index of microcirculatory resistance.

Abstract: A system and method for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images acquired via a fluoroscopic imaging device.

Abstract: An Electromagnetic Interference Pattern Recognition Tomography (EMIPRT) method for use in an image reconstruction system includes generating electromagnetic field data corresponding to an object in an imaging domain, via an electromagnetic tomography system, and using the generated electromagnetic field data, repeatedly, in recursive manner, forming an undisturbed electromagnetic interference image, forming a disturbed electromagnetic interference image based on the undisturbed electromagnetic interference image, recognizing electromagnetic interference patterns in the repeatedly formed disturbed electromagnetic interference images, and forming a superposition image by nullifying or diminishing the recognized electromagnetic interference patterns from the disturbed electromagnetic interference image.

Abstract: The present teachings generally provide for a surgical navigation system for use with an x-ray imaging device. The x-ray imaging device acquires x-ray images of an anatomical structure of interest at an angular position. The surgical navigation system includes a localizer with a tracking sensor, a gravity vector sensor coupled to the tracking sensor, a tracking device configured to be coupled to the C-arm so as to be movable with the C-arm between a plurality of angular positions. The tracking device comprises a tracking element detectable by the tracking sensor. A computer processor is operatively coupled with the localizer and configured to implement an imaging routine that receives tracking data from the tracking sensor and a gravity vector from the gravity vector sensor, generating an image vector indicative of the angular position at which the x-ray image was acquired.

Abstract: An image processing system (IPS), comprising: an input interface (IN) for receiving a request to visualize image data captured of an anatomy of interest by an imaging apparatus (IA). An energy value determiner (EVD) is configured to determine based on at least one of the image data, the different image data or contextual data, an energy value for forming, from the image data, a monochromatic image. The determining by the energy value determiner (EVD) is based on an energy curve fitted to the image data. the image data forms part of a series of sectional images acquired of the anatomy of interest, or such sectional images derivable from the image data. The sectional images relate to different locations (z) of the anatomy. The energy curve is fitted to energy value control points assigned to at least a sub-set of the different locations (z). Each energy value control point represents a respective known energy value for a respective one of the sub-set of different locations.

Abstract: A system includes a storage device storing a set instructions and a processor in communication with the storage device, wherein when executing the set of instructions, the processor is configured to cause the system to obtain raw data. The processor may also be configured to cause the system to determine one or more reconstruction-related algorithms and determine one or more containers for the one or more reconstruction-related algorithms. Each of the one or more containers may correspond to at least one of the one or more reconstruction-related algorithms. The system may also be configured determine a reconstruction flow based on the one or more containers and process the raw data according to the reconstruction flow to generate a target image.

Abstract: Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.

Abstract: A process for assessing image quality metrics includes the steps of receiving image data from an image capture device, wherein the image data includes a skin portion; extracting, via a machine learning system, a first set of information from the image data; extracting, via the machine learning system, a second set of information from the image data; scoring the first and second sets of information of the image data to reflect image quality metrics; identifying a threshold score reflecting acceptable image quality metrics; when the score is greater than the threshold score, submit the image data; and when the score is less than the threshold score, prompt the user to retake the image data.

Abstract: A surgical system includes a robotic arm, an end effector coupled to the robotic arm, a divot at the end effector, a probe configured to be inserted into the divot, a tracking system configured to obtain data indicative of a position of the probe while the probe is in the divot, and circuitry configured to verify a proper physical configuration of the surgical system based on the data indicative of the position of the probe while the probe is in the divot.

Abstract: An information processing apparatus comprises a generating unit configured to generate supervised data relating to a topological invariant based on a topological property relating to supervised data corresponding to input data, and a training unit configured to perform, based on a geometric property relating to an output from a classifier to which the input data is input and the supervised data generated by the generating unit, training of the classifier.

Abstract: A method of evaluating a bone fracture reduction includes imaging, intraoperatively, a fractured bone to obtain a representation of the fractured bone in a computing system. The fractured bone defines at least first and second bone fragments separated by a fracture. The method includes imaging a contralateral bone of the patient to obtain a representation of the contralateral bone in the computing system and further includes generating, intraoperatively in the computing system, a virtual model of the fractured bone from data presented in the representation of the fractured bone and a virtual model of the contralateral bone from data presented in the representation of the contralateral bone. The method includes comparing, intraoperatively in the computing system, a spatial dimension measured with respect to the virtual model of the fractured bone with a corresponding spatial dimension measured with respect to the virtual model of the contralateral bone.

Abstract: A medical information processing apparatus of an embodiment includes an image acquiring unit, an event acquiring unit, a managing unit, and an output unit. The image acquiring unit sequentially acquires medical images during a treatment procedure for a subject. The event acquiring unit sequentially acquires events in the treatment procedure on the basis of the medical images during the treatment procedure. The managing unit manages the medical images and the events, in association with temporal information on the treatment procedure. The output unit outputs the medical images such that relations between the medical images and the events are able to be known.

Abstract: A surgical system includes a base, a robotic arm extending from the base and comprising a plurality of segments, a first tracker secured to the base, a second tracker secured to a segment of the plurality of segments of the robotic arm, and a detection device configured to determine an arrangement of the first tracker and the second tracker.

Abstract: An exemplary system, method, and computer-accessible medium for generating an image(s) of an three-dimensional anatomical flow map(s) can include receiving an optical coherence tomography (“OCT”) signal(s), splitting the OCT signal(s) into a plurality of subspectra, averaging the plurality of subspectra, and generating the image(s) of the three-dimensional anatomical flow map(s) based on the averaged subspectra. The OCT signal(s) can be a swept-source OCT signal. The OCT signal(s) can be split into the subspectra based on a Hamming window. The Hamming distance window can be optimized to minimize a nearest side lobe for each of the subspectra. A position of at least one of the subspectra can be shifted prior to averaging the subspectra. The position of all but one of the subspectra can be shifted prior to averaging the subspectra.

Abstract: The present disclosure is related to removing scatter from a SPECT scan by utilizing a radiative transfer equation (RTE) method. An attenuation map and emission map are acquired for generating scatter sources maps and scatter on detectors using the RTE method. The estimated scatter on detectors can be removed to produce an image of a SPECT scan with less scatter. Both first-order and multiple-order scatter can be estimated and removed. Additionally, scatter caused by multiple tracers can be determined and removed.

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Abstract: A portable, handheld system for target measurement is provided. The system comprises an imaging assembly comprising first and second camera sensors, separated from one another by a fixed separation distance; and a processor operably coupled to the imaging assembly, the processor being configured to: activate the imaging assembly to capture a primary image of the target with the first camera sensor and to capture a secondary image of the target with the second camera sensor, wherein the target is in a field of view of each of the first and second camera sensors; analyze the captured primary and secondary images to determine a pixel shift value for the target; calculate a parallax value between the primary and secondary images using the determined pixel shift value; compute measurement data related to the target based on the calculated parallax value; and output the measurement data to a display of the imaging system.

Abstract: Planning tools for surgery, particularly for THA, are provided. Images of musculoskeletal structure of a patient (e.g. associated with respective planes and in a same or different functional position) may be displayed together and via co-registration and spatial transformations, 3D implants or other objects may be rendered and overlaid in a same position correctly with respect to each image. The 3D implant may be fit (e.g. via handles or automatically using image processing) to an existing implant in the patient and moved to other positions, for example, to measure the existing position or plan for an initial or new position. Measures may be represented with respect to various planes associated with the respective image and/or with respect to an existing implant.

Abstract: Given a specific imaging device and systems further described herein, wound characteristics of a wound fluoresce with a unique spectral signature when subjected to excitation light with a known wavelength or range of wavelengths. Images captured therefrom are subject to analyses of pixels thereof, with a plurality of training images having known wound sizes and characteristics marked-up thereon being used to generate training data, which is subsequently used to identify wound characteristics from test images in real time. Wound sizes, boundaries, bacterial presence, and other characteristics may be quantified and graphically represented as an overlay on the original wound image along with documentation related to the wound.

Abstract: Disclosed are methods related to guiding robotic surgery using optical coherence tomography (OCT) and computer-readable media and computer systems executing the methods. They may include receiving a series of cross-sectional slices of 3D space obtained from an OCT probe over biological tissue and processing and filtering the series of slices. The processing and filtering may include spatially smoothing the intensity values of each slice, thresholding each slice after it has been blurred, performing a connected-component analysis to identify blobs on the thresholded slice, filtering the blobs, performing edge detection, and invoking a selective median filter. The processing and filtering can be used to construct a depth map from the received series of cross-sectional slices in order to guide a robotic end effector, based on the depth map.