Abstract: An x-ray breast imaging system comprising a compression paddle in which the compression paddle comprises a front wall and a bottom wall. The front wall is configured to be adjacent and face a chest wall of a patient during imaging and the bottom wall configured to be adjacent a length of a top of a compressed breast. The bottom wall extends away from the patient's chest wall, wherein the bottom wall comprises a first portion and a second portion such that the second portion is between the front wall and the first portion. The first portion is generally non-coplanar to the second portion, wherein the compression paddle is movable along a craniocaudal axis. The x-ray breast imaging system also comprises a non-rigid jacket releasably secured to the compression paddle, the non-rigid jacket positioned between the compression paddle and the patient.

Abstract: An X-ray imaging system using multiple pulsed X-ray sources in motion to perform high efficient and ultrafast 3D radiography is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Each individual X-ray source can also move rapidly around its static position in a small distance. When an X-ray source has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source stay momentarily standstill. It results in much reduced source travel distance for each X-ray source. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

Abstract: The present invention is directed to spatial-spectral filtering for multi-material CT decomposition. The invention includes a specialized filter that spectrally shapes an x-ray beam into a number of beamlets with different spectra. The filter allows decomposition of an object/anatomy into different material categories (including different biological types: muscle, fat, etc. or exogenous contrast agents that have been introduced: e.g iodine, gadolinium, etc.). The x-ray beam is spectrally modulated across the face of the detector using a repeating pattern of filter materials. Such spatial-spectral filters allow for collection of many different spectral channels using “source-side” control. However, in contrast to other spectral techniques that provide mathematically complete projection data, spatial-spectral filtered data is sparse in each spectral channel—making traditional projection-domain or image-domain material decomposition difficult to apply.

Abstract: A three-dimensional x-ray imaging system includes at least one detector and an x-ray source including an x-ray transmissive vacuum window. The x-ray source is configured to produce diverging x-rays emerging from the vacuum window and propagating along an x-ray propagation axis extending through a region of interest of an object to the at least one detector. The diverging x-rays have propagation paths within an angular divergence angle greater than 1 degree centered on the x-ray propagation axis. The system further includes at least one sample motion stage configured to rotate the object about a rotation axis. The system further includes a sample mount configured to hold the object and comprises a first portion in the propagation paths of at least some of the diverging x-rays and having an x-ray transmission greater than 30% for x-rays having energies greater than 50% of a maximum x-ray energy of an x-ray spectrum of the diverging x-rays.

Abstract: Systems and methods for capturing and rendering light fields for head-mounted displays are disclosed. A mediated-reality visualization system includes a head-mounted display assembly comprising a frame configured to be mounted to a user's head and a display device coupled to the frame. An imaging assembly separate and spaced apart :from the head-mounted display assembly is configured to capture light-field data. A computing device in communication with the imaging assembly and the display device is configured to receive light-field data from the imaging assembly and render one or more virtual cameras. Images from the one or more virtual cameras are presented to a user via the display device.

Abstract: Embodiments of the present invention provide systems and methods to detect a moving anatomic feature during a treatment sequence based on a computed and/or a measured shortest distance between the anatomic feature and at least a portion of an imaging system.

Abstract: Disclosed herein is a dual energy X-ray imaging apparatus. The dual energy X-ray imaging apparatus includes: an X-ray generator configured to generate a predetermined dose of X-rays; an X-ray detector configured to detect the X-rays received from the X-ray generator; an X-ray filter located between the X-ray generator and the X-ray detector, and configured to filter out part of the generated X-rays so that X-rays of two dose types reach the X-ray detector; and a medical image processing unit configured to generate medical images corresponding to the two dose types recognized by the X-ray detector.

Abstract: Disclosed is a method for detecting an infection stage of anthracnose pathogen with pre-analysis capacity, comprising: obtaining a plurality of sample sensing data sequences; obtaining a sample citrus leaf image; obtaining a first prediction result; if the first prediction result is that the sample citrus crop is not infected by anthracnose, obtaining sample Raman spectral data and sample hyperspectral data; obtaining a first judgment result, and obtaining a second judgment result; performing labeling to obtain second training data; training a neural network model to obtain a second anthracnose prediction model; obtaining a plurality of to-be-analyzed sensing data sequences; obtaining a to-be-analyzed citrus leaf image; obtaining a second prediction result; if the second prediction result is that the to-be-analyzed citrus crop is not infected by anthracnose, obtaining a third prediction result.

Abstract: An airfoil assembly for a gas turbine engine according to an example of the present disclosure includes, among other things, an airfoil that has an airfoil section extending from a root section. The airfoil section extends between a leading edge and a trailing edge in a chordwise direction and extends between a tip portion and the root section in a radial direction, and the airfoil section defining a pressure side and a suction side separated in a circumferential direction. A platform includes a first and second platform portions attached to the root section. Each of the first and second platform portions includes a shoe section and a platform section extending in the circumferential direction from the shoe section to establish a gas path surface, and the shoe sections of the first and second platforms are circumferentially arranged on opposed sides of the root section to capture the root section in a root cavity established between the shoe sections. A method of assembly is also disclosed.

Abstract: A method, apparatus, and system for managing a composite structure. A set of component models is created for a set of components in the composite structure. A set of embedded reinforcement element models is placed within the set of component models for the set of components in the composite structure to form a composite structure model for the composite structure. The set of embedded reinforcement element models is for a set of embedded reinforcements embedded within the set of components in the composite structure. A structural analysis of the composite structure is performed using the composite structure model formed by the set of component models and the set of embedded reinforcement element models, wherein the set of embedded reinforcement element models enables modeling at least one of a deformation or a failure of embedded reinforcements.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: Systems and methods are provided for reconstructing a three-dimensional result image data set from computed tomography from a plurality of two-dimensional images that create an image of an object undergoing examination from a particular imaging angle, The imaging angles of all the images lie within a restricted angular range. A three-dimensional artifact-reduced image data set is provided based on the two-dimensional images using an algorithm for reducing artifacts that are the result of a restriction of the angular range. The result image data set is reconstructed using a reconstruction algorithm that processes both the artifact-reduced image data set and the two-dimensional images as input data.

Abstract: An image processing apparatus obtains segment definition information that defines a plurality of segments obtained by dividing a human body along a body axis, and obtains a three-dimensional image including a plurality of slice images indicating cross sections of a subject. The image processing apparatus identifies, based on the segment definition information, a segment to which a cross section corresponding to at least one slice image among the slice images included in the image belongs, and calculates a coordinate value of the at least one slice image, based on the identified segment and a reference coordinate system in which a coordinate value is defined for each of the segments.

Abstract: A method of imaging includes obtaining a plurality of dynamic sinograms, each dynamic sinogram representing detection events of gamma rays at a plurality of detector elements, summing the plurality of dynamic sinograms to generate an activity map based on a radioactivity level of the gamma rays; reconstructing, using the plurality of dynamic sinograms, a plurality of dynamic images, each of the plurality of dynamic images corresponding to one of the each of the plurality of dynamic sinograms, and generating, using the plurality of dynamic sinograms and the activity map, at least one parametric image.

Abstract: A patient-specific arthroplasty system comprising a database comprising preoperative data, ligament balancing tool data, and postoperative data associated with a plurality of patients, a preoperative evaluation module that receives preoperative data for a given patient, an analysis engine that analyzes the database, receives the preoperative data, and generates a surgical recommendation based on the preoperative data of the given patient and the analysis of the database, and a pin positioning block module that receives the surgical recommendation and determines a pin positioning block based on the surgical recommendation.

Abstract: A method and system for processing a diffraction pattern image obtained in an electron microscope are disclosed.

Abstract: A method for removing artifacts from an image reconstructed from scanner data according to embodiments includes: performing a forward projection p to update an estimated object image; determining a transfer function f? that represents the effect of scatter and beam hardening; modifying the forward projection p using the transfer function f? to provide a modified forward projection p?; and performing an iterative image reconstruction process using the modified forward projection p? to generate a reconstructed image.

Abstract: The present disclosure relates to a method for detecting a fibre misalignment in an elongated structure, such as a wind turbine blade component. The elongated structure has a length along a longitudinal direction and comprises a plurality of stacked reinforcing fibre layers. The plurality of fibre layers comprises fibres having an orientation aligned, unidirectionally, substantially in the longitudinal direction. The method comprises scanning a surface of the elongated structure for identifying one or more surface irregularities, selecting one or more regions of interest comprising said one or more surface irregularities, examining said region of interest using penetrating radiation, and determining a position and/or size of the fibre misalignment based on said examining step.

Abstract: Disclosed is a method for the quantification of pulmonary vessels by lobe, the method including extracting, at extraction unit, pulmonary vessels based on a medical image, locating, at analysis unit, voxels of pulmonary vessels with respect to the surface of a lobe, and quantifying, at calculation unit, the extracted pulmonary vessels.

Abstract: A method for using computed tomography for non-destructive evaluation of a part, comprising: providing a computed tomography system; loading predetermined computed tomography system setup information; customizing settings with predetermined algorithmic parameters and functions depending on part features; processing projection counts; processing prior knowledge data relevant to the part; creating masking data from the customized settings; pre-processing reconstruction results based on the customized settings; performing algorithmic adjustments based on prior knowledge data and part geometry; performing algorithm adjustments during iterations; and post-processing reconstruction results.

Abstract: Graphical interactive prediction evaluation is provided. An extrapolation threshold value is computed using an extrapolation threshold function with an explanatory variable value of each of a plurality of explanatory variables read for each observation vector of a plurality of observation vectors. A model is fit to the observation vectors. Model results are presented in a display that include a first value for each explanatory variable. An indicator of a second value of at least one of the explanatory variables that is different from the first value is received. An extrapolation value is computed using an extrapolation function with the second value and the first value of others of the explanatory variables. The extrapolation value is compared to the extrapolation threshold value. An extrapolation indicator is presented in the display when the comparison indicates that the second value is an extrapolation.

Abstract: There are provided an ultrasound image generating apparatus, which generates a high-quality ultrasound image even in a deep portion of a subject, and a control method thereof. In an ultrasound image (Img), for a portion (Ar1) equal to or less than a depth threshold value (D1), a real scanning line (L1) obtained from an acoustic wave echo signal is used. In the ultrasound image (Img), for a portion (Ar2) deeper than the depth threshold value (D1), an interpolation scanning line (L2) located between the real scanning lines (L1) is generated from an acoustic wave echo signal having a positional deviation between a focusing position of ultrasound waves and an observation target position. Also for a portion deeper than the interpolation scanning line (L2), a high-quality ultrasound image (Img) is obtained.

Abstract: A method of characterizing a part including obtaining an X-ray tomography image of the part and then a step of correlating the image with a reference wherein the correlation step includes searching among a predefined set of X-ray tomography image transformations for a transformation that minimizes the difference between the image and the reference in order to characterize the inside of the part.

Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.

Abstract: Systems and methods for generating a training example to train artificial intelligence software to automatically determine a centerline of an elongated structure of three dimensional images. One system includes an electronic processor configured to receive a plurality of reference points for a subset of a plurality of slices of a first three dimensional image. Each of the plurality of reference points marks a centerline of the elongated structure within one of the subset of the plurality of slices. The electronic processor is configured to determine an order of the plurality of reference points and fit a spline curve to the plurality of reference points based on the order of the reference points to create the training example. The electronic processor is further configured use the training example to train the artificial intelligence software to automatically determine a centerline of an elongated structure in a second three dimensional medical image.

Abstract: A method is for providing a normalized image. The method includes receiving a non-normalized image including first pixels and non-normalized intensities, each of the first pixels being characterized by one of the non-normalized intensities. Furthermore, the method includes determining a subtraction histogram, the subtraction histogram being configured to map a first intensity to the difference between the relative frequency of the first intensity and the relative frequency of a second intensity, the first intensity being one of the non-normalized intensities and the second intensity being one of the non-normalized intensities. Furthermore, the method includes providing a normalized image including second pixels and normalized intensities based on the non-normalized image and based on the subtraction histogram, each of the second pixels being characterized by one of the normalized intensities.

Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.

Abstract: A method of non-destructive testing of an aeronautical component, including a righting processing including Generation of a median surface of the component extracted from a tomographic volume, the median surface dividing the component into two parts, Determination of a field of normal vectors normal to the median surface, Flattening of the median surface to form a flattened median surface in a plane, Reconstruction of a righted volume containing the component righted about the flattened median surface, the reconstruction being performed by mapping between voxels of the righted volume along directions orthogonal to the flattened median surface and between voxels of the volume along the normal vectors of the median surface which are associated with these respective orthogonal directions, Analysis of the righted volume thus obtained so as to identify the anomalies of the component.

Abstract: The present disclosure discloses medical imaging devices and suspension gantries thereof. An example medical imaging device includes a suspension gantry and a rotatable C-arm which is connected with the suspension gantry and provided with an imaging chain. The suspension gantry includes a suspension base, a first rotating arm configured to be connected to the suspension base and rotatable around a first axis, and a second rotating arm configured to be connected to the first rotating arm and rotatable around a second axis. The rotatable C-arm is configured to be connected with the second rotating arm and be rotated around a third axis.

Abstract: A method for geometric calibration of a radiography apparatus acquires tomosynthesis projection images of patient anatomy from a detector and an x-ray source translated along a scan path. An epipolar geometry is calculated according to the relative position of the detector to the scan path by estimating a direction for epipolar lines that extend along an image plane that includes the detector. A region of interest of the patient anatomy that is a portion of each projection image and is fully included within each projection image in the series is defined. A consistency metric is calculated for estimated epipolar lines extending within the ROI. The method iteratively adjusts the epipolar line estimation until the consistency metric indicates accuracy to within a predetermined threshold. A portion of a tomosynthesis volume is reconstructed and displayed.

Abstract: The present teaching relates to interactive medical image processing for surgical procedure planning. In one example, a three dimensional (3D) image of a kidney is obtained. The three dimensional image is rendered on a display screen. An input is received from a user specifying a location with respect to a representation of the kidney in the rendered three dimensional image. A representation of an instrument is rendered on the display screen based on the location. The instrument is automatically aligned with an infundibulum pathway of calyx at the location with respect to the kidney. A graphical line extension is rendered on the display screen to visualize the alignment of the instrument. One or more measurements related to the kidney are determined based on the location and an anatomical structure of the kidney.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: The present disclosure provides a method for training a neural network that extracts a feature of an image by using data related to a difference between image, and an apparatus using the same. A neural network training method performed by a computing device according to an exemplary embodiment of the present disclosure includes: acquiring a reference image photographed with a first setting with respect to an object and a first comparison image photographed with a second setting with respect to the object; acquiring feature data of the reference image from a first neural network trained by using the reference image; acquiring feature data of a first extract image from a second neural network, wherein the second neural network is trained by using the first extract image formed from data related to a difference between the reference image and the first comparison image; and training a third neural network by using the feature data of the reference image and the feature data of the first extracted image.

Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.

Abstract: Carrying forward a spine label between studies is provided. In some embodiments, a first medical image of a subject's spine is provided. With the first image at least one label identifying a feature of the spine is provided. The first medical image is displayed to a user with the at least one label. At least one change is received from the user to the at least one label, yielding at least one updated label. The at least one updated label is applied to a second medical image. A three dimensional representation of the updated label is displayed.

Abstract: Skull inhomogeneity may be quantified in accordance with the skull density measured in skull images acquired using a conventional imager; the quantified inhomogeneity may then be used to determine whether the patient is suitable for ultrasound treatment and/or determine parameters associated with the ultrasound transducer for optimizing transskull ultrasound treatment.

Abstract: A system and method for magnetic resonance imaging is provided. The method may include: determining a scanning parameter, wherein the scanning parameter includes one or more predetermined values; obtaining one or more MR signal sets based on the one or more predetermined values; generating one or more original images based on the one or more MR signal sets, wherein an original image corresponds to an MR signal set; determining one or more virtual values associated with the scanning parameter; and generating one or more virtual images based on the one or more virtual values and the one or more original images, wherein a virtual image corresponds to a virtual value.

Abstract: A method for tomosynthesis volume reconstruction acquires at least a prior projection image of the subject at a first angle and a subsequent projection image of the subject at a second angle. A synthetic image corresponding to an intermediate angle between the first and second angle is generated by a repeated process of relating an area of the synthetic image to a prior patch on the prior projection image and to a subsequent patch on the subsequent projection image according to a bidirectional spatial similarity metric, wherein the prior patch and subsequent patch have n×m pixels; and combining image data from the prior patch and the subsequent patch to form a portion of the synthetic image. The generated synthetic image is displayed, stored, processed, or transmitted.

Abstract: According to an embodiment of the application, a method is provided for selecting an algorithm for correcting at least one image artifact in an image data record acquired by a medical imaging system and representing at least one region of interest of a subject under examination. The method includes identifying from the image data record at least one object element causing the image artifact and lying inside the region of interest of the subject under examination; determining from the image data record at least one characteristic describing the object element; determining an artifact correction algorithm on the basis of the at least one characteristic; and applying the artifact correction algorithm to the image data record. An embodiment of the application also provides a corresponding data processing facility and a medical imaging system.

Abstract: According to one or more embodiments, a method, a computer program product, and a computer system for detecting and characterizing aortic pathologies are provided. The method may include receiving, by a computer, one or more tomograph scan images corresponding to a patient's aorta. The one or more received tomograph scan images may be analyzed by the computer for one or more image features associated with one or more aortic pathologies, such as aortic dissection or an aortic aneurysm. One or more image features associated with the one or more aortic pathologies may be identified in the one or more analyzed tomograph scan images, which may allow the determination of an aortic pathology associated with the patient's aorta based on the identification of the image features. A portion of the aorta and one or more branch arteries corresponding to the determined aortic pathology may then be identified.

Abstract: Methods and systems for automatically scoring diagnoses associated with clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a diagnosis associated with an image of a patient from the at least one data source over the interface. The diagnosis is for an anatomical structure represented in the image. The electronic processor is also configured to receive a pathology result for the patient for the anatomical structure generated after the diagnosis from the at least one pathology result source over the interface. The electronic processor is also configured to automatically generate a score based on a comparison of the diagnosis and the pathology result. The electronic processor is also configured to display the score within a graphical user interface.

Abstract: In a method and apparatus for magnetic resonance imaging, a first diagnostic imaging scan is executed that includes a recording of first set of magnetic resonance scan data from a first subregion of an examination region, and a second diagnostic imaging scan is executed that includes a recording of a second set of magnetic resonance scan data from a second subregion of the examination region. A navigator scan is executed chronologically between the first diagnostic imaging scan and second diagnostic imaging scan, wherein the navigator scan includes a recording of at least two navigator slices arranged on opposite sides of the examination region.

Abstract: Methods and systems for automatically scoring diagnoses associated with clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a diagnosis associated with an image of a patient from the at least one data source over the interface. The diagnosis is for an anatomical structure represented in the image. The electronic processor is also configured to receive a pathology result for the patient for the anatomical structure generated after the diagnosis from the at least one pathology result source over the interface. The electronic processor is also configured to automatically generate a score based on a comparison of the diagnosis and the pathology result. The electronic processor is also configured to display the score within a graphical user interface.

Abstract: A medical system includes a plurality of movable elements, a first control element for controlling a first type of movement and at least one further control element for controlling a further type of movement. The first control element is assigned to a first number of movable elements for controlling the first type of movement and the further control elements are assigned to a further number of movable elements for controlling the further type of movement. The control elements each include an input unit having at least two selection elements for selecting the movable element to be controlled.

Abstract: Various embodiments are described herein for methods, devices and systems that can be used to determine a breast density value from an input image of patient's breast. In one example embodiment, the breast density value is calculated by receiving an input image corresponding to the digital mammogram, removing metadata information from the input image to generate an intermediate image, generating a region of interest (ROI) image based on the intermediate image, extracting values for predictor variables based on the metadata information, the intermediate image and the ROI image, and calculating breast density based on the values of the predictor variables. The breast density value is calculated based on a breast density model.

Abstract: A portable x-ray computed tomography (CT) system may utilize algebraic reconstruction techniques (ART) to produce 3D volume images from tens of shots or less. The system may be deployed as desired where x-ray source and detector positions are not known beforehand. A fast, accurate matrix may be formed relating voxels to detector pixels via a modified ray tracing algorithm, eliminating artifacts caused by approaches using rough approximations. Masking or recombination may be performed to remove detector pixels that are not part of a region of interest (ROI) or lump the pixels together as one unknown, significantly reducing matrix size, and hence, computation time. The positions and orientations of the x-ray source and detector may be treated as unknowns and refined to optimize a volume image metric. For example, the optimized metric could be image contrast, image sparsity, or total variation.

Abstract: A diagnostic endoscopic imaging support apparatus includes a three-dimensional image data obtaining section that obtains three-dimensional image data of a subject, a tubular tissue shape data obtaining section that extracts and obtains tubular tissue shape data representing a shape of a tubular tissue in the subject from the three-dimensional image data obtained by the three-dimensional image data obtaining section, an endoscope route data obtaining section that obtains endoscope route data representing a route of an endoscope inserted into the subject, and a matching section that performs matching between the tubular tissue shape data and the endoscope route data.

Abstract: The exemplary embodiments of the present disclosure are described and illustrated below to encompass methods and devices for designing patient specific prosthetic cutting jigs and, more specifically, to devices and methods for segmenting bone of the knee and the resulting cutting guides themselves. Moreover, the present disclosure relates to systems and methods for manufacturing customized surgical devices, more specifically, the present disclosure relates to automated systems and methods of arthroplasty cutting guides, systems and methods for image segmentation in generating computer models of knee joint.

Abstract: A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data thereby to determine a deformation field, and a region identification unit configured to identify at least one region for which the deformation field is approximately homogeneous, and, for at least part of at least one identified region, to obtain a substantially homogeneous approximation of the deformation field.

Abstract: Disclosed are systems, devices, and methods for marking a main carina and a trachea of a patient, an exemplary method comprising importing slice images of a chest of the patient, generating a three-dimensional (3D) model based on the imported slice images, displaying the 3D model in a graphical user interface (GUI), locating the main carina by viewing 2D images of the 3D model in an axial orientation, marking the main carina in one of the 2D images of the 3D model, adjusting a view plane of the 3D model around a rotation axis defined by the marked location of the main carina to adjust the view plane from an axial orientation to a coronal orientation while keeping the main carina in the view plane to thereby display the entire trachea on the GUI, and marking an upper end of the trachea in one of the 2D images of the 3D model.