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: 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: 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: 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: 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: 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: 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: A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

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.

Abstract: A method for controlling a medical device may be provided. The method may include obtaining, via one or more cameras, first data regarding a first motion of a subject in an examination space of the medical device. The method may include obtaining, via one or more radars, second data regarding a second motion of the subject. The method may further include generating, based on the first data and the second data, a control signal for controlling the medical device to scan at least a part of the subject.

Abstract: Embodiments are directed to a medical robot system including a robot coupled to an end-effectuator element with the robot configured to control movement and positioning of the end-effectuator in relation to the patient. One embodiment is a method for removing bone with a robot system comprising: taking a two-dimensional slice through a computed tomography scan volume of target anatomy; placing a perimeter on a pathway to the target anatomy; and controlling a drill assembly with the robot system to remove bone along the pathway in the intersection of the perimeter and the two-dimensional slice.

Abstract: These teachings provide for accessing optimization information comprising at least one isocenter that corresponds to a body outline for a particular patient, field geometry information for a particular radiation treatment platform, and dosimetric data. The optimization information can further comprise a model of a body outline for the patient. A control circuit optimizes a radiation treatment plan as a function of the optimization information to provide an optimized radiation treatment plan where radiation dose levels delivered to the particular patient from a particular field depends on the relative volume magnitude of field path intersections to thereby reduce radiation dose delivery to healthy patient tissue in regions having relatively more overlapping fields.

Abstract: A stereo imaging system comprises an observation instrument having an image acquisition unit for detecting first image data and second image data, which can be combined for stereo observation. There is provided at least one position sensor for detecting an orientation of the instrument in relation to a position reference. There is provided a control device that is operable in a first representation mode and a second representation mode, depending on the orientation of the instrument. The control device is configured for outputting an image signal, which comprises a stereo signal that is based on the first image data and the second image data in the first representation mode, and a mono signal that is based on the first image data or the second image data in the second representation mode. The control device is configured to erect images that are output with the image signal in the second representation mode, depending on the orientation.

Abstract: A method, device, and system for evaluating a vessel of a patient, and in particular the hemodynamic impact of a stenosis within the vessel of a patient. Proximal and distal pressure measurements are made using first and second instrument while the first instrument is moved longitudinally in the vessel and the second instrument remains in a fixed position. A series of pressure ratio values are calculated, and a pressure ratio curve is generated. The pressure ratio curve may be output to a display. One or more stepped change in the pressure ratio curve are identified using an Automatic Step Detection algorithm. An image is obtained showing the position of the first instrument within the vessel that corresponds to the identified stepped change. The image is registered to the identified stepped change in the pressure ratio curve. The image may be output to the display.

Abstract: An OCT (Optical Coherence Tomography) handheld device is provided comprising: a housing configured for handheld OCT scanning during a surgical procedure, the housing comprising an OCT scanning end and a proximal end opposite the OCT scanning end; an OCT scanning device inside the housing, the OCT scanning device configured for one or more of OCT polarized scanning and Doppler OCT scanning from the OCT scanning end, the OCT scanning device further configured to receive and convey OCT light between the proximal end and an OCT analysing system; and a tip extending from the OCT scanning end, the tip being removably attached to the OCT scanning end, the tip configured to receive and collect the OCT light therethrough. The OCT handheld device is configured to be removably draped around the tip, for use in the surgical procedure.

Abstract: An ophthalmologic apparatus includes: an optical system configured to acquire data of a subject's eye; a housing unit configured to house the optical system; and an attachment member including a holding member configured to hold a face of the subject movably in a state where a peripheral site of the subject's eye is in contact with the holding member, a passing part through which an optical axis of the optical system passes being formed in the holding member, and the attachment member configured to be detachable between the housing unit and the subject's eye.

Abstract: Embodiments of the disclosure provide systems and methods for generating a report based on a medical image of a patient. An exemplary system includes a communication interface configured to receive the medical image acquired by an image acquisition device. The system may further include at least one processor. The at least one processor is configured to automatically determine keywords from a natural language description of the medical image generated by applying a learning network to the medical image. The at least one processor is further configured to generate the report describing the medical image of the patient based on the keywords. The at least one processor is also configured to provide the report for display.

Abstract: The present invention provides methods and systems for tracking motion in multiple dimensions, including multiple dimensions, including a transmitter probe fixture, a receiver array, and an electronic control unit.

Abstract: An ophthalmologic apparatus, includes: a first concave mirror and a second concave mirror having a concave surface-shaped first reflective surface and a concave surface-shaped second reflective surface; an SLO optical system configured to project light from an SLO light source onto a subject's eye via the first concave mirror and the second concave mirror, and to detect returning light from the subject's eye; a first optical scanner configured to deflect the light from the SLO light source to guide the light to the first reflective surface; a second optical scanner configured to deflect light reflected by the first reflective surface to guide the light to the second reflective surface; an OCT optical system including a third optical scanner, and configured to split light from an OCT light source into measurement light and reference light, to project the measurement light deflected by the third optical scanner onto the subject's eye, and to detect interference light between returning light of the measurement l

Abstract: A system, method, and apparatus for guiding an astigmatism correction procedure on an eye of a patient are disclosed. An example apparatus include a photosensor configured to record a pre-operative still image of an ocular target surgical site of the patient. The apparatus also includes a real-time, multidimensional visualization module configured to produce a real-time multidimensional visualization of the ocular target surgical site during an astigmatism correction procedure. The apparatus further includes a data processor configured to determine a virtual indicium that includes data for guiding the astigmatism correction procedure. The data processor uses the pre-operative still image to align the virtual indicium with the multidimensional visualization such that the virtual indicium is rotationally accurate. The data processor then displays the multidimensional visualization of the ocular target surgical site in conjunction with the virtual indicium.

Abstract: Some embodiments include a method, comprising: receiving an image representing a branching structure; determining a starting feature of the branching structure; selecting a subregion of the image based on the starting feature; segmenting the branching structure in the subregion; generating a set of next features based on the segmented branching structure; and for each of the next features, repeating the selecting of the subregion based on the next feature, the segmenting of the branching structure, and the generating of the set of next features.

Abstract: A system and method of providing composite real-time dynamic imagery of a medical procedure site from multiple modalities which continuously and immediately depicts the current state and condition of the medical procedure site synchronously with respect to each modality and without undue latency is disclosed. The composite real-time dynamic imagery may be provided by spatially registering multiple real-time dynamic video streams from the multiple modalities to each other. Spatially registering the multiple real-time dynamic video streams to each other may provide a continuous and immediate depiction of the medical procedure site with an unobstructed and detailed view of a region of interest at the medical procedure site at multiple depths. A user may thereby view a single, accurate, and current composite real-time dynamic imagery of a region of interest at the medical procedure site as the user performs a medical procedure.

Abstract: Systems and methods are provided for evaluating an eye using retinal fluid volumes to provide a clinical parameter. An optical coherence tomography (OCT) image of an eye of a patient is obtained. The OCT image is segmented to produce a total retinal volume and one or both of a subretinal fluid volume and an intraretinal fluid volume for a region of interest within the eye. A metric is generated as a function of the total retinal volume and one or both of the subretinal fluid volume and the intraretinal fluid volume. A clinical parameter for the patient is determined from the metric. The determined clinical parameter is provided to a user at a display.

Abstract: Presented herein are methods, systems, devices, and computer-readable media for image guided surgery. The systems herein allow a physician to use multiple instruments for a surgery and simultaneously provide image-guidance data for those instruments. Various embodiments disclosed herein provide information to physicians about procedures they are performing, the devices (such as ablation needles, ultrasound wands or probes, scalpels, cauterizers, etc.) they are using during the procedure, the relative emplacements or poses of these devices, prediction information for those devices, and other information. Some embodiments provide useful information about 3D data sets. Additionally, some embodiments provide for quickly calibratable surgical instruments or attachments for surgical instruments.

Abstract: Presented herein are methods, systems, devices, and computer-readable media for image management in image-guided medical procedures. Some embodiments herein allow a physician to use multiple instruments for a surgery and simultaneously provide image-guidance data for those instruments. Various embodiments disclosed herein provide information to physicians about procedures they are performing, the devices (such as ablation needles, ultrasound transducers or probes, scalpels, cauterizers, etc.) they are using during the procedure, the relative emplacements or poses of these devices, prediction information for those devices, and other information. Some embodiments provide useful information about 3D data sets and allow the operator to control the presentation of regions of interest. Additionally, some embodiments provide for quick calibration of surgical instruments or attachments for surgical instruments.

Abstract: A display control unit displays, on a display unit, at least some of a plurality of images included in each of a plurality of image sets of the same object which have been captured at different imaging dates and times and each of which consists of the plurality of images including at least a plurality of tomographic images acquired by performing tomosynthesis imaging for the object. A setting unit sets at least one past image set, which was acquired at an imaging date and time before the latest imaging date and time and includes images at least some of which have been displayed, among the plurality of image sets as having been displayed.

Abstract: A system and method are provided for display of medical image data, with the display of the medical image data being determined on the basis of schematic image data of a schematic representation of an anatomical structure. The schematic representation may provide a particular view of the anatomical structure. The type of anatomical structure and the view of the anatomical structure provided by the schematic representation may be determined based on one or more image features in the schematic image data. The view may be characterized as a geometrically-defined perspective at which the anatomical structure is shown in the schematic representation. An output image may be generated showing the anatomical structure in the medical image data in accordance with said determined geometrically-defined perspective. A user may thus be provided with a display of medical image data which is easier to interpret having considered said schematic representation.

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: In an embodiment, a medical system is disclosed. One embodiment of the medical system comprises a medical processing unit in communication with an intravascular instrument configured to be moved longitudinally within a body lumen and in further communication with a radiographic imaging source configured to obtain radiographic images of the intravascular instrument while the intravascular instrument is moved longitudinally within the body lumen. The medical processing unit is configured to receive radiographic images obtained by the radiographic imaging source, track the intravascular instrument within the radiographic images while the intravascular instrument is moved longitudinally within the body lumen, calculate a movement speed based on the tracking, compare the calculated movement speed to a predefined target movement speed, generate a speed-adjustment suggestion based on the comparison, and output the speed-adjustment suggestion to a display for review by a user.

Abstract: The present invention relates to a device for interacting with vessel images, the device (14) comprising: an interface unit (22); a processing unit (20); wherein the interface unit (22) comprises: a display (21); and an input setup (23); wherein the display (21) is configured to display a vessel image (24); wherein the input setup (23) is configured to receive a user input in relation to the vessel image (24); wherein the processing unit (20) is configured to: determine, for at least one vessel (26) in the vessel image (24), a vessel contour (30); determine, from the user input, an identifier position (36) in the vessel image (24); indicate at least a portion (38) of the vessel contour (30) in the vessel image (24), if the determined identifier position (36) is spaced apart from the vessel contour (30) by a distance (37) within a predefined distance range; determine, from the user input, a drag direction (42); and move the indicated portion (38) along the vessel contour (30) based on the determined drag direc

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.