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: 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: 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 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: 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: 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: 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.

Abstract: A weighting for a roadmap method is automatically determined. A first or a second weighting image is generated from an anatomical image and an object image. For this purpose, a prespecified first weighting value is assigned to pixels belonging to a prespecified anatomical feature or to an instrument. Other pixels are assigned increasingly small weighting values at increasing distances from the anatomical feature or from the instrument toward an edge of a respective recording region according to a prespecified monotonously decreasing function in dependence upon the location. An overall weighting image is generated by combining the first and the second weighting images with one another and/or a region of interest determined using the overall weighting image are then provided as input data for an image processing algorithm.

Abstract: There is provided a computer-implemented method (200) and apparatus for determining a transformation for anatomically aligning fragments of a broken bone. An image of the broken bone of the subject is acquired (202). The bone is broken into two or more fragments. A model of a corresponding unbroken bone and at least one parameter is acquired. The at least one parameter defines one or more deformations to the model that are permitted when fitting portions of the model of the unbroken bone to corresponding fragments of the broken bone (204). Portions of the model of the unbroken bone are fit to corresponding fragments of the broken bone based on the at least one parameter (206). A transformation is determined that anatomically aligns the fragments of the broken bone with the corresponding portions of the model (208).

Abstract: An intra-oral imaging apparatus for obtaining a contour image of a tooth has a fringe pattern generator energizable to emit a fringe pattern illumination. The fringe pattern generator has (i) at least one structured light source that is energizable to emit a patterned light beam; (ii) at least one reflective element in the path of the emitted patterned light beam and actuable to rotate about an axis to scan the emitted patterned light beam along a tooth surface as fringe pattern illumination. A detector is configured to acquire one or more images of the fringe pattern illumination from the tooth surface. A control logic processor is configured to control the fringe pattern generator for illuminating the tooth and to obtain and process the one or more images acquired by the detector.

Abstract: An information presentation system including a tubular system including a flexible tubular insertion portion configured to be inserted into an insertion subject, a storage medium configured to store a plurality of pieces of presentation information recognizable by a non-operator, a non-operator presentation display configured to present information in an output form recognizable by the non-operator and a processor including hardware, the processor configured to perform a selection of presentation information to be presented to the non-operator presentation display, and switch a presentation period of the selected presentation information to the non-operator presentation display.

Abstract: A method for the reduction of streak artifacts in an image data set reconstructed from projection images of an X-ray device is provided. The method includes determining a first interim data set by applying a non-linear low-pass filter to pixels that satisfy a selection condition. A second non-linear, high-pass-filtered interim data set is determined by pixel-by-pixel subtraction of the first interim data set from the image data set. The second interim data set is Fourier transformed in order to obtain a spatial frequency data set. Frequency portions attributable to artifacts in the spatial frequency data set are removed, and the processed spatial frequency data set is inverse Fourier transformed, such that a third interim data set is obtained. An artifact-reduced result data set is determined by addition of the third interim data set and the first interim data set.

Abstract: A method for detecting lesion tissue using contrast agent MRI includes receiving scanner settings; receiving MR parameters for lesion tissue with or without contrast agent; and simulating relationships between an image quality metric and imaging parameters. The method includes selecting a first set of imaging parameters to optimize an image quality metric of a first image acquired before contrast agent administration; selecting a second set of imaging parameters to optimize a lesion enhancement metric of a second image acquired after contrast agent administration; and selecting an image acquisition time for the second image to maximize the lesion enhancement metric. The method includes acquiring the first and second images using the selected first and second sets of imaging parameters, respectively; and generating a combined image from the first and second images.

Abstract: A method and system for providing motion analysis data useful in identifying, monitoring, or treating neurological conditions. The preferred embodiment uses an optical coherence tomography system to obtain information about capability of motion control and control of involuntary eye movement. Alternate embodiments are taught.

Abstract: Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

Abstract: A non-transitory computer-readable medium stores a program capable of improving the accuracy of detection of a target object. The program causes a computer to execute operations including, acquiring data in which a physical quantity is associated with each unit area acquired by dividing a given space; setting a detection region in a time space of three or more dimensions in the space or the time space; setting a control region at a position surrounding a gap with the gap surrounding the detection region disposed in a space having the same dimensions as those of the detection region; and determined whether or not one or more unit areas included in the detection region are predetermined areas on the basis of comparison between physical quantities of one or more unit areas included in the detection region and the control region that are set.

Abstract: Embodiments relate to a method for tracking a location of a surgical tool based on a radiographic image, which includes: by a photography system, photographing a surgical tool having a physical marker frame composed of three or more marker bands; by an information processor, detecting a center point of each marker band in the photographed image; and by the information processor, estimating a three-dimensional location of the surgical tool based on a distance between the detected center point and a center point of a true marker band, and a tracking apparatus for the same.

Abstract: The present disclosure relates to techniques to expand the dynamic range of a detector and achieve smooth transition in images used for X-ray image processing. The image finally obtained can fully retain useful information.

Abstract: An ultrasonic diagnostic apparatus according to an embodiment includes a candidate-position extracting circuitry and a position setting circuitry. The candidate-position extracting circuitry extracts a first position through comparison of a fundamental wave component between a plurality pieces of image data collected by performing ultrasonic scanning on a subject injected with a contrast agent. The candidate-position extracting circuitry also extracts a second position through comparison of a harmonic component between the pieces of image data. The position setting circuitry sets the first position or the second position as a position of a region of interest where predetermined analysis is performed in at least one image data of the pieces of image data.

Abstract: Embodiments relate to a brain computer interface (BCI) including a light source subsystem, an interface transmitting light from the light source subsystem to a body region of a user, and a detector subsystem coupled to the interface and configured to receive light signals from the body region of the user. The light source subsystem, the interface, and the detector subsystem are coupled to other electronics providing power, computing functionality, and/or other functionality. The BCI is designed to be worn at a head region of a user and to generate optical signals that can be used to characterize brain activity of the user, where decoded brain activity can be used as inputs to control other systems and/or electronic content provided to the user.

Abstract: An interactive event timeline system and method are disclosed. Multiple events and/or signal indicators are captured during a medical procedure, such as a cardiac procedure. Event data relevant to the cardiac procedure may include, tags, user generated points, ablation events, pacing events and other like events. An interactive event timeline is generated from the captured events and displayed on a visual display device. The interactive event timeline is correlated with a vertical listing of the events and a selected event viewer. All three views may be displayed simultaneously. The interactive event timeline allows a physician or user (collectively “user”) to see temporal relationships between the captured events. The user can see, for example, simultaneous events, long duration events versus short duration events, continuous events and specific event types.

Abstract: The present invention relates to displaying spatial information of an interventional device in a live 2D X-ray image. In order to provide a facilitated visualization technique to provide 3D information of a subject, a device (10) for providing spatial information of an interventional device in a live 2D X-ray image is provided. The device comprises an input unit (12), and a processing unit (16). The input unit is configured to provide an actual 2D X-ray image (18) of a region of interest related to a portion of a patient's body. A target location (22) lies within the region of interest. At least a portion (20) of an interventional device is arranged in the region of interest. The input unit is configured to provide actual 3D ultrasound data of at least a part of the region of interest and at least a portion of an interventional device (19). The target location (22) lies within the region of interest. The processing unit is configured to register the actual 3D ultrasound data to the actual 2D X-ray image.

Abstract: Systems and methods for enhancing quality of a flow image of a sample of a subject are provided. The method comprises acquiring a first flow image from a plurality of first OMAG scans of the sample, and acquiring a structure image from a second OMAG scan of the sample. Data based on pixel intensity values from the flow image and pixel intensity values from the structure image are then plotted onto a graph and from the graph, may be differentiated into a first data group representing static structure signals and a second data group representing flow signals. The method then includes suppressing pixels in the flow image corresponding to the first data group. The flow signal may also be multiplied by a weighting factor to suppress artifacts in the image.

Abstract: Methods, systems, and devices for skin care are provided. Some embodiments may include a device or system for skin care that may include a skin tool head portion, a skin tool head support that may be coupled with the skin tool head portion, and/or a portable microscope connector that may be configured to couple a portable microscope with the skin tool head support. Some embodiments include a device for skin care that may include a spacer configured to couple with a portable microscope. The spacer includes at least one aperture configured to facilitate the use of a skin tool. Some embodiments include a spacer coupled with a compressible structure configured to preclude a skin tool from contacting a portion of skin when in an uncompressed state and to allow the skin tool to contact the portion of skin when in a compressed state.

Abstract: The present invention relates to image contrast enhancement. In order to provide improved and stable contrast enhancement for each acquired image, a device (10) for image contrast enhancement of an X-ray image of a vascular structure is provided. The device (10) comprises an input unit (12) and a processing unit (14). The input unit is configured to provide an acquired X-ray image of a vascular structure with a contrast injection. The contrast injection is performed with a current contrast injection setting having at least one contrast injection parameter. The input unit is further configured to provide a generic vascular structure. The input unit is also configured to provide the current contrast injection setting. The processing unit is configured to determine an assessed contrast parameter for the generic vascular structure based on the current contrast injection setting.

Abstract: Advanced reporting systems based on ontology development for quantitative imaging biomarkers, information modeling to integrate heterogeneous data types relevant to quantitative medical analysis, and a knowledge representation framework for their statistical validation.

Abstract: For topogram predication from surface data, a sensor captures the outside surface of a patient. A generative adversarial network (GAN) generates the topogram representing an interior organ based on the outside surface of the patient. To further adapt to specific patients, internal landmarks are used in the topogram prediction. The topogram generated by one generator of the GAN may be altered based on landmarks generated by another generator.

Abstract: The present invention provides a method for a finalized processed image and related data to identify a spatial location of each pupil in the region. Each pupil is identified by a two-dimensional spatial coordinate. The method includes processing information associated with each pupil identified by the two-dimensional spatial coordinate to output a plurality of two-dimensional spatial coordinates, each of which is in reference to a time, in a two-dimensional space. The method then includes outputting a gaze information about the human user. The gaze information includes the two-dimensional spatial coordinates each of which is in reference to a time in a two-dimensional space.

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: The invention provides a light therapy device for providing therapeutic treatment to a user's body, wherein the user may be a person or an animal. The device is using a light projection method for treating the body problems and/or skin disorders. Further, the device is having a rotatable assembly that automatically follows the movement of the desired area of the body needs to be treated. The device uses artificial intelligence, machine learning, localization modules, object detection module, image processing module, and 3D-mapping to automatically identify and treating the desired area of the body. Furthermore, the user can manually identify, select and prioritize desired treatment portion and can select the type of treatment required.

Abstract: A fluoroscopy-based system/method for correcting at least an inclination angle of an acetabular cup during total hip arthroplasty. A computing device processes an image of the surgical area to determine distortion, at least as a function of the reference object in the image. Thereafter, the computing device generates a correction factor and measures an inclination angle of an initially positioned acetabular cub in an anterior posterior image of a patient's pelvis, and corrects, as a function of the correction factor, the measured inclination angle to provide an accurate inclination angle of the acetabular cup.

Abstract: An optical coherence tomographic device may include a light source, a measurement light generator, a reference light generator, an interference light generator, an interference light detector, and a processor. The interference light detector may include a first and second detector that convert interference light to interference signals, a first signal processing unit that samples the interference signal from the first detector, and a second signal processing unit that samples the interference signal from the second detector. Each of the first and second signal processing units may sample the interference signal at a timing from outside. Light generated by the measurement light generator may at least include first and second correction light. The processor may correct a time lag between sampling timings of the first and second signal processing units by using a first and second correction signal converted from the first and second correction light.

Abstract: The disclosure provides a method for selecting toric intraocular lenses (IOL) and relaxing incision for correcting refractive error. The one or more toric IOL and relaxing incision combinations can be used for off-axis correction of refractive errors such as astigmatism. The disclosure provides a method for selecting toric IOL and relaxing incision combinations that have combined astigmatism correcting powers and off-axis positions or orientations of the astigmatism correcting axes of the toric IOL and relaxing incision that are effective to yield lower residual astigmatism than on axis correction methods. The toric IOL and relaxing incision combinations also allow the user to avoid incisions that will radially overlap with a cataract incision thereby provided improved outcomes.

Abstract: A deep learning (DL) convolution neural network (CNN) reduces noise in positron emission tomography (PET) images, and is trained using a range of noise levels for the low-quality images having high noise in the training dataset to produceuniform high-quality images having low noise, independently of the noise level of the input image. The DL-CNN network can be implemented by slicing a three-dimensional (3D) PET image into 2D slices along transaxial, coronal, and sagittal planes, using three separate 2D CNN networks for each respective plane, and averaging the outputs from these three separate 2D CNN networks. Feature-oriented training can be implemented by segmenting each training image into lesion and background regions, and, in the loss function, applying greater weights to voxels in the lesion region. Other medical images (e.g. MRI and CT) can be used to enhance resolution of the PET images and provide partial volume corrections.

Abstract: Methods for classifying and measuring orientations of objects, as nonlimiting examples, implants utilizing two-dimensional radiographs. One such method determines a three-dimensional orientation of an object based on its area projected onto a two-dimensional image and known or measured geometry. Another such method provides an automated solution to computationally determine the orientation and characterizing features of an implant based on two-dimensional radiographs. Orientations and characteristics of one or more objects in the vicinity of an object of interest may also be determined.

Abstract: The invention discloses an OCT probe used for human open lumen system, comprising a probe protector, a probe body, an oily liquid, a metal coil, a probe guard tip and a light-guided optical fiber; the probe body is match mounted will the metal coil, and the metal coil is mounted on the rear end of the probe body; the light-guided optical fiber is fixed inside the probe body; the probe guard tip is sleeved on the probe body, the probe protector is sleeved on the probe guard tip and sleeved on the metal coil; the oily liquid is filled between the probe guard tip and the probe protector, and between the metal coil and the probe protector. The invention effectively remedy for the defect that the image is unclear by filling the oily liquid between the probe protector and the probe body.

Abstract: A system and method of processing a CT scan includes receiving a plurality of radiographs and determining an axis of rotation per scan from the plurality of radiographs prior to CT reconstruction.

Abstract: A method of performing dose calculations for ion radiotherapy compensating for tissue in which the density within a voxel may be inhomogeneous by approximating a portion of the voxel as an air cavity. For each dose voxel, the voxel is inscribed in a three-dimensional grid comprising a number of cells and the propagation of ions through the voxel is calculated based on the cell pattern in the at least one cell overlapping the voxel. Preferably, the voxel is inscribed in the three-dimensional grid in such a way that it overlaps at least one cell fully. Each cell comprises a first portion representing a first density corresponding to a density of a tissue and a second portion representing a second density corresponding to the density of air, the first and second portions forming a cell pattern.

Abstract: The present invention relates to image processing devices and related methods. The image processing device (10) comprises a data input (11) for receiving spectral computed tomography volumetric image data organized in voxels. The image data comprises a contrast-enhanced volumetric image of a cardiac region in a subject's body and a baseline volumetric image of that cardiac region, e.g. a virtual non-contrast image, wherein the contrast-enhanced volumetric image conveys anatomical information regarding coronary artery anatomy of the subject. The device comprises a flow simulator (12) for generating, or receiving as input, a three-dimensional coronary tree model based on the volumetric image data and for simulating a coronary flow based on the three-dimensional coronary tree model.

Abstract: The present invention relates to an image processing device (10) comprising a data input (11) for receiving volumetric image data comprising a plurality of registered volumetric images of an imaged object, a noise modeler (12) for generating a noise model indicative of a spatial distribution of noise in each of the plurality of registered volumetric images, a feature detector (13) for detecting a plurality of image features taking the volumetric image data into account, and a marker generator (14) for generating a plurality of references indicating feature positions of a subset of the plurality of detected image features, in which said subset corresponds to the detected image features that are classified as difficult to discern on a reference volumetric image in the plurality of registered volumetric images based on a classification and/or a visibility criterium, wherein the classification and/or the visibility criterium takes the or each noise model into account.