Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes sequence control circuitry and processing circuitry. The sequence control circuitry performs under-sampled data acquisition whose sample points are located at an equal interval in k-space and acquires k-space frames. The processing circuitry generates a plurality of k-space frames related to a plurality of time resolutions based on the k-space frames. In each of the plurality of k-space frames, the sample points are located at an equal interval, and the interval differs for each of the plurality of k-space frames. The processing circuitry generates a time-series image based on the plurality of k-space frames.

Abstract: A computer-implemented method for generating an artifact corrected reconstructed contrast image from magnetic resonance imaging (MRI) data is provided. The method includes inputting into a trained deep neural network both a synthesized contrast image derived from multi-delay multi-echo (MDME) scan data or the MDME scan data acquired during a first scan of an object of interest utilizing a MDME sequence and a composite image, wherein the composite image is derived from both the MDME scan data and contrast scan data acquired during a second scan of the object of interest utilizing a contrast MRI sequence. The method also includes utilizing the trained deep neural network to generate the artifact corrected reconstructed contrast image based on both the synthesized contrast image or the MDME scan data and the composite image. The method further includes outputting from the trained deep neural network the artifact corrected reconstructed contrast image.

Abstract: A head stabilization device or HFD includes a plurality of integrated markers. The HFD may be in the form of a skull clamp, vacuum bag, combinations thereof, or other supporting structure. The integrated markers include MRI markers detectable by an MRI scanner and fiducial markers detectable by a registration tool of a navigation system. The markers provide a reference point relative to an operation site in a patient for use in a navigation guided procedure and aid in registering or calibrating the location of the patient with captured images used in the navigation guided procedure.

Abstract: A method for medical imaging may include determining a posture of an object and obtaining a first parameter of a pulse sequence to be applied to the object. The method may also include determining, based on the posture and the first parameter, a SAR distribution model and estimating, based on the SAR distribution model and a second parameter of the pulse sequence to be applied, a SAR distribution associated with the object under the pulse sequence to be applied. The second parameter is associated with calibration of the pulse sequence to be applied. The method may further include determining whether the estimated SAR distribution meets a condition and causing, in response to a result of the determination that the estimated SAR distribution associated with the object meets the condition, a scanner to perform an MR scan on the object according to the pulse sequence.

Abstract: The present invention discloses a method and a system of vertebral compression fracture detection. The method of vertebral compression fracture detection includes: recombining a plurality of anatomical images captured in at least a spine segment of a target individual into a 3D image; using a multi-planar reconstruction method to reformat the 3D image to obtain at least one sagittal reformatted image; using a classification model to determine whether the sagittal reformatted image covers the middle section of the vertebral column or not; using a vertebral detection method to detect each vertebral body in the sagittal reformatted image covering the middle section of the vertebral column; using a keypoint localization method to localize a plurality of keypoints of each vertebral body which was detected in the sagittal reformatted image; evaluating the compression fracture grade of each vertebral body in the sagittal reformatted image.

Abstract: A bone density estimating method, comprising: acquiring, by an MR scanning device, a magnetic resonance, MR, sequence of a body portion, wherein the MR sequence comprises quantitative information of the body portion; generating, by a processing circuit, an MR image of the body portion based on the MR sequence, wherein each voxel of the MR image represents a volume of the body portion; identifying, by the processing circuit, a part of the MR image representing a bone portion of the body portion; for a voxel of the identified part of the MR image, estimating a bone density of a volume of the bone portion represented by the voxel, based on a quantitative value of the voxel. The quantitative information of the body portion comprises a proton density.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a mental health prediction for a patient using a centrality ranking of the brain of the patient. One of the methods includes obtaining brain data of a patient, wherein the brain data comprises, for each of a plurality of pairs of parcellations formed from a set of parcellations where each pair comprises a first parcellation and a second parcellation, data characterizing a number of tracts connecting the first parcellation and the second parcellation; determining a network graph from the brain data; generating, for each of a plurality of nodes in the network graph, a measure of centrality of the node; determining a centrality ranking of the plurality of nodes of the network graph according to the respective measures of centrality; generating a mental health prediction for the patient using the determined centrality ranking.

Abstract: In some aspects, the described systems and methods provide for a method for training a statistical model to predict tissue characteristics for a pathology image. The method includes accessing annotated pathology images. Each of the images includes an annotation describing a tissue characteristic category for a portion of the image. A set of training patches and a corresponding set of annotations are defined using an annotated pathology image. Each of the training patches in the set includes values obtained from a respective subset of pixels in the annotated pathology image and is associated with a corresponding patch annotation determined based on an annotation associated with the respective subset of pixels. The statistical model is trained based on the set of training patches and the corresponding set of patch annotations. The trained statistical model is stored on at least one storage device.

Abstract: A positioning method for a magnetic resonance imaging system comprises: acquiring a scattering parameter curve of a body coil during a process in which an examination table carrying a subject under examination enters a scanning bore of the magnetic resonance imaging system; acquiring the position of a part to be examined of the subject under examination on the basis of the scattering parameter curve; and moving the examination table on the basis of the position of the part to be examined such that the part to be examined is located at the center of the scanning bore.

Abstract: A surgical system for manipulating an anatomy includes a surgical tool, a robotic manipulator configured to support and move the surgical tool, and one or more controllers that activate a first virtual boundary delineating a first portion of the anatomy that is allowed to be removed by the surgical tool from a second portion of the anatomy that is protected from removal by the surgical tool. The one or more controllers control the robotic manipulator for enabling the surgical tool to perform bulk cutting of the first portion in relation to the first virtual boundary. The one or more controllers control the robotic manipulator for enabling the surgical tool to perform fine cutting of the second portion of the anatomy.

Abstract: The present disclosure relates to a method for providing biomarker for early detection of Alzheimer's Disease (AD), and particularly to a method that is able to enhance the accuracy of predicting AD from Mild Cognitive Impairment (MCI) patients using the Hippocampus magnetic resonance imaging (MRI) scans and Mini-Mental State Examination (MMSE) data. The providing MRI images containing the anatomical structure of Hippocampus biomarker and MMSE data as a training data set; training a processor using the training data set, and the training comprising acts of receiving MRI images and MMSE data as a testing data set from a target; and classifying the test data by the trained processor to include aggregating predictions.

Abstract: Systems and methods are provided for enhanced heart medical imaging operations, particularly as by incorporating use of artificial intelligence (AI) based fetal heart functional analysis and/or real-time and automatic ejection fraction (EF) measurement and analysis.

Abstract: A surgical guidance system has two cameras to provide stereo image stream of a surgical field; and a stereo viewer. The system has a 3D surface extraction module that generates a first 3D model of the surgical field from the stereo image streams; a registration module for co-registering annotating data with the first 3D model; and a stereo image enhancer for graphically overlaying at least part of the annotating data onto the stereo image stream to form an enhanced stereo image stream for display, where the enhanced stereo stream enhances a surgeon's perception of the surgical field. The registration module has an alignment refiner to adjust registration of the annotating data with the 3D model based upon matching of features within the 3D model and features within the annotating data; and in an embodiment, a deformation modeler to deform the annotating data based upon a determined tissue deformation.

Abstract: A system and method for ensuring safe and tolerable insertion of a needle into a subject's body according to a preplanned or continuously monitored sequence of insertion steps. The system comprises a gripping device for gripping the needle in order to perform robotic insertion steps, yet for releasing the grip between such insertion steps, until the next insertion step is initiated. Thereby, the robot has full control of the needle during insertion steps, but does not constrain the needle between insertions, such that movement of the subject can cause neither damage nor discomfort. The gripping and insertion steps may be coordinated to keep in synchronization with the subject's breathing cycles, such that the insertion steps may be performed in the same segment of each cycle of motion of the subject's chest. The gripper can either fully disconnect from the needle, or can partially disconnect but constrain motion within limits.

Abstract: A system and method is provided for modeling brain dynamics in normal and diseased states.

Abstract: Methods and systems for diagnosing a condition of a central nervous system are provided. A method includes providing a DBSI-MRI data set obtained from the central nervous system of the subject, and transforming the DBSI-MRI data set to obtain at least one DBSI biomarker value. The method further includes comparing each DBSI biomarker value to at least one corresponding threshold value from a diagnostic database to obtain a relation between each DBSI biomarker value and the at least one corresponding threshold value, and diagnosing the condition according to at least one diagnostic rule, wherein each diagnostic rule defines a candidate condition in terms of the relations between the at least one DBSI biomarker value and the at least one corresponding threshold value.

Abstract: Methods and apparatus for providing a functional mapping of a brain lesion in a patient's brain. The method comprises determining using a computer processor, based on human connectome data stored on at least one computer datastore in communication with the computer processor, at least one functional network associated with a location of a brain lesion identified in an image of a patient's brain. The at least one functional network includes a plurality of brain areas functionally connected to the location of the brain lesion and a plurality of correlation measures. Each of the correlation measures indicates a strength of functional connection between the location of the brain lesion and a respective brain area of the plurality of brain areas in the at least one functional network. The method further comprises determining, based at least one functional network, a likelihood that the brain lesion is causing one or more patient symptoms.

Abstract: An apparatus includes: an acquisition circuit; and a processing circuit configured to: acquire volume data; set a model representing a tissue included in the volume data; set a first view for visualizing the volume data and a position of a target in the model; acquire first operation information for deforming the model; calculate change in the position and an orientation of the target due to deformation of the model, based on the first operation information; calculate, using the calculated change in the position and the orientation of the target, a second view such that the position and the orientation of the target after the change with respect to the first view and the position and the orientation of the target before the change with respect to the second view become equal to each other; and visualize the volume data based on the second view.

Abstract: Described herein are systems, methods, and computer-readable medium for magnetic resonance (MR) based thermometry. In one aspect, in accordance with one embodiment, a method for magnetic resonance based thermometry includes: acquiring, by a variable flip-angle T1 mapping sequence, MR data in an area of interest of a subject that is heated by the application of focused ultrasound (FUS) to the brain of the subject, where the MR data includes T1 values over time, and where the acquisition of the MR data includes applying an accelerated three-dimensional ultra-short spiral acquisition sequence with a nonselective excitation pulse; and determining, based at least in part on a mathematical relationship established by T1 mapping thermometry, a temperature change in the area of interest over time, and where the temperature change is caused at least in part by a change in the applied FUS.

Abstract: According to an embodiment, an information display system includes a displacement measurement unit, a display unit, and a controller. The displacement measurement unit measures displacement of a measurement part. The display unit displays a time axis of signal detection. The controller controls the displacement measurement unit and the display unit. When a signal that is output from the displacement measurement unit meets a given condition, the controller determines that displacement of the measurement part is detected and displays detection information representing that the displacement is detected in any one of a time position and a time area on the display unit in which the displacement is detected.

Abstract: The inventive subject matter is directed to an artificial intelligence intra-operative surgical guidance system and method of use. The artificial intelligence intra-operative surgical guidance system is made of a computer executing one or more automated artificial intelligence models trained on data layer datasets collections to calculate surgical decision risks, and provide intra-operative surgical guidance; and a display configured to provide visual guidance to a user.

Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Abstract: A computer apparatus and methods generate multi-parametric color composite images from multi-echo chemical shift encoded (CSE) MRI. Some embodiments use inherently co-registered images (i.e., image maps) that are combined into a single intuitive composite color image. The color (e.g., brightness, hue, and/or saturation) reflects in part the water and fat content, and other properties, particularly T2* relaxation (related to magnetic susceptibility) of the tissue.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes sequence controlling circuitry and processing circuitry. The sequence controlling circuitry is configured to execute (i) a first pulse sequence in which a spatially selective Inversion recovery (IR) pulse and a spatially non-selective IR pulse are applied, and subsequently an acquisition is performed and (ii) a second pulse sequence in which the spatially non-selective IR pulse is applied without applying the spatially selective IR pulse, and subsequently an acquisition is performed, while varying the first TI period, with respect to a plurality of first TI periods. The processing circuitry is configured to calculate a second TI period to be used in a third pulse sequence and a fourth pulse sequence, based on data obtained from the first pulse sequence and the second pulse sequence.

Abstract: Provided is a method for generating MRI data including applying, by an MRI computing device, an RF excitation pulse, and completing, by the MRI computing device, a K-space by acquiring a plurality of phase encoding line groups, in a state in which any other RF excitation pulse is not applied after applying the RF excitation pulse, in which each of the plurality of phase encoding line groups includes a plurality of phase encoding lines, and an absolute value of an average phase encoding size of a phase encoding line group acquired earlier is not greater than an absolute value of an average phase encoding size of a phase encoding line group acquired later, among the plurality of phase encoding line groups.

Abstract: An MR Spectroscopy (MRS) system and approach is provided for measuring spectral information corresponding with propionic acid (PA), either alone or in combination with other measurements corresponding with other chemicals, to diagnose and/or monitor at least one of bacterial infection, such as associated with P. acnes, or conditions related thereto such as nociceptive pain associated with tissue acidity. An interfacing DDD-MRS signal processor receives output signals to produce a post-processed spectrum, with spectral regions corresponding with certain chemicals, including PA, then measured as biomarkers. A diagnostic processor derives a diagnostic value for each disc, and performs certain normalizations, based upon ratios of the spectral regions related to chemicals implicated in degenerative painful tissue pathology, such as PA and hypoxia markers of lactic acid (LA) and alanine (AL), and structural chemicals of proteoglycan (PG) and collagen or carbohydrate (CA).

Abstract: A method for analyzing an image to assess a degree of asymmetry in an object having a presumed mirror symmetry includes: retrieving an image of the object; obtaining a mirrored image by flipping along an axis that has an a-priori unknown spatial relation to the presumed plane of symmetry; obtaining a mapping between the retrieved image and the mirrored image; determining a measure of asymmetry in the object by considering element pairs of a first element of the retrieved image and a second element of the mirrored image according to the mapping. Obtaining the mapping comprises performing a rigid registration followed by a non-rigid registration of the retrieved image to the mirrored image. The measure of asymmetry is determined by calculating the Jacobian of the non-rigid deformation in each element of the image. The invention also pertains to a computer program product and an image processing system.

Abstract: A system comprises determination of an inversion-recovery or saturation-recovery imaging pulse sequence associated with first values of echo spacing, flip angle, effective TR, trigger pulses, artifact post-suppression, and number of image data lines per acquisition, execution of a scout pulse sequence comprising a plurality of single-shot image data acquisitions to acquire respective sets of image data lines, where each of the plurality of single-shot image data acquisitions is executed using a different respective inversion time and where each of the plurality of single-shot image data acquisitions is associated with second values of echo spacing, flip angle, and number of image data lines per acquisition which are substantially similar to corresponding ones of the first values, generation of a plurality of images based on the respective sets of image data lines, determination of one of the plurality of images, the determined one of the plurality of images generated based on a set of image data lines acquire

Abstract: A medical image diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain image data which is generated by scanning a brain of a subject; select a target region from the image data; extract a connected region of which a brain function is associated with a brain function of the target region, as an additional region; and output scan target region including the target region and the additional region.

Abstract: The inventive subject matter is directed to a computing platform configured to execute one or more automated artificial intelligence models, wherein the one or more automated artificial intelligence models includes a neural network model, wherein the one or more automated artificial intelligence models are trained on a plurality of radiographic images from a data layer to detect a plurality of anatomical structures or a plurality of hardware, wherein at least one anatomical structure is a pelvic teardrop and a symphysis pubis joint; detecting at a plurality of anatomical structures in a radiographic image of a subject, wherein the plurality of anatomical structures are detected by the computing platform by the step of classifying the radiographic image with reference to a subject good side radiographic image; and constructing a graphical representation of data, wherein the graphical representation is a subject specific functional pelvis grid; the subject specific functional pelvis grid generated based upon th

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a processing circuit. The processing circuit acquires a plurality of echo signals not to be encoded corresponding to a plurality of respective shots about acquisition of a plurality of echo signals having been encoded by magnetic resonance imaging for a subject, compares the echo signals not to be encoded with each other about the shots, and identifies a shot to be removed about generation of a magnetic resonance image about the subject out of the shots based on a comparison result of the echo signals not to be encoded.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry configured to derive an index value with respect to noise included in data associated with magnetic resonance signals collected by each of a plurality of reception coils, adjust a degree to which noise is removed from the data associated with the magnetic resonance signals based on the derived index value, remove noise from the data associated with the magnetic resonance signals based on the adjusted degree, and perform compositing of the data associated with the magnetic resonance signals from which noise has been removed.

Abstract: The present disclosure is directed to systems and methods of multiphase pseudo-continuous arterial spin labeling.

Abstract: A system having a scope with a longitudinal length extending between a proximal end and a distal end includes a plurality of markers spaced along the longitudinal length. The system also includes a disassociation and positioning device that is configured to enhance unsedated transnasal endoscopic procedures by at least partially occluding the vision of a patient while enabling body cavity access, and optionally record and sense body functions such as temperature, heart rate and oxygenation of the blood stream. The system further includes a sensor integrated into the distraction device, wherein the sensor is configured to detect the markers on the longitudinal length of the scope.

Abstract: The systems and methods can provide continuous, efficient, accurate, non-contact, monitoring of one or more cardiorespiratory and/or behavior parameters associated with a subject in a defined environment using at least non-contact sensor data and provide feedback based on the determined parameters. The system can include one or more sensor modules disposed within defined environment(s). The system may further include one or more sensors disposed at a specific spatial location in the defined environment. The sensor(s) may include non-contact electric field sensor(s) configured to record non-contact sensor data related to one or more periods of stillness and/or movement of the subject. The system may further include one or more processors configured to determine cardiorespiratory respiratory parameters and/or behavior parameters using the non-contact sensor data.

Abstract: An electric current imaging system, device, and method includes an array of vector magnetometers that senses one or more magnetic fields in three directions produced by a flow of electric current. Such a system (and devices and methods thereof) can further include a display that displays a visual reconstruction of the original electric current that produced the magnetic field(s). The disclosed embodiments image electric current flow (both magnitude and direction) without the need for rastering or relative motion between the sensors and the conductor/device being viewed. Such embodiments can be scaled to fit both large and small applications by using discreet devices or manufacturing a single, miniaturized array with MEMS technologies.

Abstract: A system comprising an assessment engine configured to asynchronously transmit assessment questions to a user and, in response, receive a plurality of personal data from a user. A behavior module communicatively coupled to the assessment engine and operable to generate a behavior profile associated with the user based, at least in part, on the plurality of personal data. The behavior profile configured to identify one or more addiction habits of the user and respective one or more triggers operable to induce the user to desire the one or more addiction habits. A plurality of sensors positioned proximate the user to provide real-time measurements of one or more biological conditions of the user body. A prediction module communicatively coupled to the plurality of sensors, the prediction module operable to predict occurrence of the one or more triggers based on the behavioral profile and the real-time measurements of the one or more biological conditions of the user body.

Abstract: Segmentation of bony regions in MRI images of joints is automated using a two-stage process. In a first stage, a machine-learning image-slice categorizer is used to categorize image slices of the MRI image data as belonging to one of a set of image-slice categories, depending on presence or absence of bone and/or tendon in the image slice. In a second stage, a first instance of a machine-learning segmentation classifier is used to segment image slices that contain both bone and tendon into bone and non-bone regions, and a second instance of a machine-learning segmentation classifier is used to segment image slices that contain bone but not tendon into bone regions and non-bone regions. Results from the two segmentation classifiers can be combined across image slices to provide a final segmentation of the bony structures, including inflammatory regions, in the image data.

Abstract: A communication system includes a headset, which is configured to output sound waves to an ear of a user based on an audio signal, as well as a microphone, which is configured to output a microphone signal based on ambient sound. The communication system further contains a processing circuit, which is configured to generate, based on the microphone signal, a signal component of the audio signal, which signal component includes information about the generation of sound waves which interfere destructively with a component of the ambient sound occurring at the ear of the user. In addition, the communication system contains a wireless interface and a control circuit, which is configured to activate the processing circuit as a function of an operating state of the wireless interface.

Abstract: A method for automated segmentation of a bone in an image dataset of a region of a human body, wherein said region comprises at least two adjacent bones, and wherein one of the bones comprises a shaft region and a head region, the method comprising identifying in the image dataset voxels belonging to a contiguous volume comprising both bones based on a density threshold; extracting a subset comprising the head region of the first bone, based on a boundary image slice; and applying a trained machine learning classifier to said subset, to generate a classification of each of voxel as belonging to one of the bones or a none-bone tissue.

Abstract: The invention provides various methods for imaging a subject's cardiovascular system. The imaging method may be used to provide a diagnosis or prognosis of various cardiovascular diseases in the subject, without contrast agents or radioactive tracers, and further generating a Gaussian Mixture Model to obtain a reference value of a normal myocardium.

Abstract: A medical image processing apparatus having a processor configured to: acquire a plurality of medical images each including a subject image; detect a region of interest for each medical image; determine whether or not a plurality of the regions of interest detected for each medical image are regions including the same target; and count the number of the regions of interest excluding an overlap of the regions determined to include the same target among the plurality of the regions of interest.

Abstract: The present invention discloses a ViBe-based three-dimensional sonar point cloud image segmentation method, characterized by including: (1) acquiring sonar data, and converting three-dimensional sonar depth image data corresponding to each frame of the sonar data to point cloud data under an orthogonal coordinate system; (2) sampling the point cloud data, and down-sampling the point cloud data to a plurality of adjacent voxels with side length being R by taking a variable resolution R as a function; (3) carrying out image segmentation on the down-sampled point cloud data by a ViBe algorithm; (4) carrying out accumulative scoring on each voxel according to an image segmentation result, and sorting foreground data and background data according to accumulative score; and (5) clustering the foreground data, and then carrying out expansion operation on the foreground data by taking an original point in the voxel as a center to obtain final foreground point cloud data.

Abstract: The invention provides methods for diagnosing coronary heart disease in a subject in need thereof comprising administering an admixture comprising CO2 to a subject to reach a predetermined PaCO2 in the subject to induce hyperemia, monitoring vascular reactivity in the subject and diagnosing the presence or absence of coronary heart disease in the subject, wherein decreased vascular reactivity in the subject compared to a control subject is indicative of coronary heart disease. The invention also provides methods for increasing sensitivity and specificity of BOLD MRI.

Abstract: The present invention relates to intravaginal devices, systems including the devices, and methods of using the devices to train an individual in the performance of exercises (e.g., pelvic floor lifts (PFLs) and pelvic floor relaxations (PFRs)) that strengthen the individual's pelvic floor muscles in order to treat or prevent pelvic floor disorders (e.g., pelvic organ prolapse and incontinence) and their accompanying symptoms.

Abstract: Systems and methods are described for computing a quantitative index that characterizes Alzheimer's disease (“AD”) risk events based on a temporally ordered sequence of biomarker events. In general, the systems and methods described here implement a modified event-based probabilistic (“EBP”) model to calculate the risk index from biomarker data.

Abstract: An endoscope system includes an imaging sensor that images a sutured portion, a display device, and a processor configured to generate an oxygen saturation image imaging an oxygen saturation of the sutured portion based on image information obtained by the imaging sensor, determine a fusion state of the sutured portion, and display the oxygen saturation image and a determination result obtained by determining the fusion state of the sutured portion.

Abstract: An animation system wherein a machine learning model is adopted to generate animated facial actions based on parameters obtained from a live actor. Specifically, the anatomical structure such as a facial muscle topology and a skull surface topology that are specific to the live actor may be used. A skull surface that is specific to a live actor based on facial scans of the live actor and generic tissue depth data. For example, the facial scans of the live actor may provide a skin surface topology of the live actor, based on which the skull surface underneath the skin surface can be derived by “offsetting” the skin surface with corresponding soft tissue depth at different sampled points on the skin surface.

Abstract: A cleaner system for an MRI magnet room. The system includes a base vacuum and/or steam unit configured to supply vacuum and/or steam, the unit disposed outside the MRI magnet room. A hand-held or portable dispensing unit is substantially free of magnetic material so that it is safe to use inside the magnet room. A tubing system for conveying vacuum and/or steam from the base unit to the handheld unit, the tubing system including a magnet room portion configured for disposition inside the magnet room and free of magnetic material. A communication link is configured to communicate control signals generated by user manipulation of a control panel to the base unit.

Abstract: The present invention relates to a method for registering a first anatomical structure (1) which is articulately coupled to a second anatomical structure (2), the method being constituted to be executed by a computer and comprising the steps of: acquiring second structure correlation data describing the spatial position of at least one correlation feature (3) relative to the second anatomical structure (2): acquiring coupling data describing a positional fixation (6) of the first anatomical structure (1) relative to the second anatomical structure (2), which is set by the articulated coupling (4) between the first anatomical structure (1) and the second anatomical structure (2); determining, based on the second structure correlation data and the coupling data, first structure correlation data describing the spatial position of the at least one correlation feature (3) relative to the first anatomical structure (1). The present invention further relates to a corresponding computer program and system.