Abstract: Disclosed is a method for defining a common reference system in a record of volume data that represents an area of a patient's jaw and is captured by means of an X-ray imaging process and a record of surface data, at least some of which represents the same area of the patient's jaw and which is captured by means of a process for measuring visible surfaces. Volume data and surface data are unhidden on a screen. An object, especially a tooth, which is recognizable in both the volume data and the surface data, is superimposed on each other as congruently as possible in a preliminary positioning step. A volume structure characterizing the object is extracted from the volume data, particularly as a type of edge image, and is made to overlap as much as possible with a corresponding surface structure of the surface data by means of a transformation function, the overlap of the volume structure being adjusted to the surface structure in iterative steps by optimizing a predefined quality level.

Abstract: A method for compensating respiratory motion in coronary fluoroscopic images includes finding a set of transformation parameters of a parametric motion model that maximize an objective function that is a weighted normalized cross correlation function of a reference image acquired at a first time that is warped by the parametric motion model and a first incoming image acquired at a second time subsequent to the first time. The weights are calculated as a ratio of a covariance of the gradients of the reference image and the gradients of the first incoming image with respect to a root of a product of a variance of the gradients of the reference image and the variance of the gradients of the first incoming image. The parametric motion model transforms the reference image to match the first incoming image.

Abstract: A system for displaying lung ventilation information, the system comprising an input (12) and a processing unit (15). The input being provided for receiving multiple CT images (71) of a lung, each CT image (71) corresponding to one phase of at least two different phases in a respiratory cycle. The processing unit (15) being configured to compare CT images (71) corresponding to different phases in the respiratory cycle for determining a deformation vector field for each phase, to generate for each phase a ventilation image (72) based on the corresponding deformation vector field, to spatially align the ventilation images (72), and to generate for at least one common position (62) in each one of the aligned ventilation images (72), a function (81) of a time course of a ventilation value for said common position (62), each ventilation value in the function (81) being based on the deformation vector fields corresponding to the aligned ventilation images (73).

Abstract: Multiple candidates are optimized in medical device or feature tracking. Possible locations of medical devices or features for each of a plurality of different times are received. The possible locations of devices are modeled using a probability function. An iterative solution to obtain the maximum of the probability function determines the possible locations to be used as the locations of the medical devices or features for each time. Where two or more medical devices or features are provided with a geometric relationship, such as being connected by a detected guide wire, the probability function may account for the geometric relationship, such as a geodesic distance between the possible locations for the two medical devices.

Abstract: Featured are methods for non-invasive assessment of vascular reactivity. The methods of the invention use phase contrast magnetic resonance imaging angiography and use the image data thereby acquired to measure shear rate, radius of the vasculature and flow through the vasculature. According to one aspect, such acquisition of image data occurs before and during, an arterial occlusion and according to another aspect such acquisition of image data occurs before during and after arterial occlusion. The disclosed methods of the invention allow for reproducible, non-invasive diagnosis of early stage indicators of atherosclerosis.

Abstract: A data structure for use by a computer system for processing medical image data and representing at least one first region of a patient includes at least one computer-detected feature of interest. The data structure includes a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.

Abstract: A method includes generating a kinetic parameter value for a VOI in a functional image of a subject based on motion corrected projection data using an iterative algorithm, including determining a motion correction for projection data corresponding to the VOI based on the VOI, motion correcting the projection data corresponding to the VOI to generate the motion corrected projection data, and estimating the at least one kinetic parameter value based on the motion corrected projection data or image data generated with the motion corrected projection data. In another embodiment, a method includes registering functional image data indicative of tracer uptake in a scanned patient with image data from a different imaging modality, identifying a VOI in the image based on the registered images, generating at least one kinetic parameter for the VOI, and generating a feature vector including the at least one generated kinetic parameter and at least one bio-marker.

Abstract: Apparatus and methods are described for use with an image of blood vessels of a subject. In response to a user designating a single point on the image (a) a target portion of a blood vessel is automatically identified in the vicinity of the designated point, and (b) quantitative vessel analysis is performed on the target portion of the blood vessel. An output is generated based upon the quantitative vessel analysis. Other embodiments are also described.

Abstract: A process for detecting the edges of collimator blades in digital radiography images in the first pass detects the edges of the collimator blades using original image, and the in the second pass repeats edge detection using an image enhanced by a histogram matching technique, for example. The edge detection using an enhanced image may also be repeated any number of times in cases of complex anatomy or when selected radiographic techniques does do not provide sufficient imaging data. The results of the second pass, or the collection of the results of multiple second passes, are then combined with the result from the first pass to form a list of the potential blade edge candidates. A desirable number of edges are then selected from the combined list to form a polygon which encloses the target area of the image, thereby providing the shutter area.

Abstract: When reconstructing low-collimation nuclear scan data (18) (e.g., SPECT) into a nuclear image volume (19), a spatial frequency-dependent (SFD) filter function is applied in Fourier space to the reconstructed image (19) to improve image resolution given a predefined number of reconstruction iterations and/or to reduce the number of reconstruction iterations required to achieve a predetermined level of image resolution. Size of an object to be imaged is determined, and the SFD filter function is determined or generated based on signal power spectrum (and/or modulated transfer function) data, object size, and desired image quality (or number of reconstruction iterations). The SFD filter function amplifies higher-energy components (e.g., corresponding to a lesion or tumor, or the like) of the spatial frequency spectrum to improve viability in a low collimated nuclear image (19) using fewer reconstruction iterations.

Abstract: A method for concentrating and isolating nucleated cells, such as a maternal and fetal nucleated red blood cells (NRBC's), in a maternal whole blood sample. The invention also provides methods and apparatus for preparing to analyze and analyzing the sample for identification of fetal genetic material as part of prenatal genetic testing. The invention also pertains to methods and apparatus for discriminating fetal nucleated red blood cells from maternal nucleated red blood cells obtained from a blood sample taken from a pregnant woman.

Abstract: An information processing apparatus and an information processing method including a deformation shape model generation unit configured to generate, from information about a first shape and a first position of a feature region in a target object under a first deformation condition, a deformation of the first shape with the position of the feature region as a reference as a model, and a deformation estimation unit configured to, based on information about a second shape and a second position corresponding to the feature region in the target object under the second deformation condition, align the first position with the second position to estimate deformation from the first shape to the second shape using the model.

Abstract: A method is disclosed of providing time dependent three dimensional imaging of a region of a patient comprising blood vessels in a perfusion bed.

Abstract: The present disclosure relates to acquiring image data of a subject and selecting image data to be displayed. The image data can include a plurality of frames that relate to a specific location of a tracking device positioned within the subject. The determined location of the tracking device can be used to determine which frame of the image data to display at a selected time.

Abstract: A system and method are provided for reconstructing images from limited or incomplete data, such as few view data or limited angle data or truncated data (including exterior and interior data) generated from divergent beams. In one aspect of the invention, the method and apparatus iteratively constrains the variation of an estimated image in order to reconstruct the image. As one example, a divergent beam may be used to generate data (“actual data”). As discussed above, the actual data may be less than sufficient to exactly reconstruct the image by conventional techniques, such as FBP. In order to reconstruct an image, a first estimated image may be generated. Estimated data may be generated from the first estimated image, and compared with the actual data. The comparison of the estimated data with the actual data may include determining a difference between the estimated and actual data. The comparison may then be used to generate a new estimated image.

Abstract: A method of surgical modeling is disclosed. A set of related two-dimensional (2D) anatomical images is displayed. A plurality of anatomical landmarks is identified on the set of related 2D anatomical images. A three-dimensional (3D) representation of at least one prosthesis is scaled to match a scale of the 2D anatomical images based at least in part on a relationship between the anatomical landmarks. 3D information from the at least one prosthesis along with information based on at least one of the plurality of anatomical landmarks is utilized to create procedure-based information. A system for surgical modeling is also disclosed. The system has a prosthesis knowledge-based information system, a patient anatomical-based information system, a user interface, and a controller. The controller has an anatomical landmark identifier, a prosthesis-to-anatomical-feature relator, and a procedure modeler.

Abstract: Embodiments provide methods and systems for quantitative imaging of blood perfusion in living tissue. A method provides for obtaining an optical microangiography (OMAG) image of a sample, wherein the image has an OMAG background sample; digitally reconstructing a homogeneous ideal static background tissue; replacing the OMAG background sample with the digitally reconstructed homogeneous ideal static background tissue; correlating two or more neighboring A-lines with the digitally reconstructed homogeneous ideal static background tissue; and measuring a phase difference between the two or more neighboring A-lines to quantify blood perfusion in the sample. Methods using digital reconstruction to reduce random phase noise in phase-resolved Doppler OCT are also provided.

Abstract: A computer-implemented method for combinational computer aided diagnosis (C-CAD) includes providing volume data of tissue, providing a database of disease and pathologies, and providing action items for processing the volume data. The method further comprises selecting at least two diseases of interest for the volume data, selecting at least one action item to be performed for each selected disease, determining a set of decision rules based on an output of a selected action item, and producing a combinational report predicting of the tissue of the volume data.

Abstract: Apparatus and methods are described for use with an input angiogram image of a device inserted inside a portion of subject's body, the angiogram image being acquired in the presence of contrast agent. At least one processor (11) includes background-image-generation functionality (13) configured to generate a background image in which a relative value is assigned to a first pixel with respect to a second pixel, at least partially based upon relative values of surroundings of the first pixel and the surroundings of the second pixel in the input image. Cleaned-image-generation functionality (14) generates a cleaned image in which visibility of the radiopaque portions of the device is increased relative to the input image, by dividing the input image by the background image. Output-generation functionality (15) drives a display (16) to display an output based upon the cleaned image. Other applications are also described.

Abstract: Certain embodiments provide an automatic diagnosis support apparatus includes extracting a plurality of parameters associated with a predetermined object by using medical information acquired by a medical image diagnosis apparatus and extracting the plurality of parameters for each disease associated with a disable-bodied person by using medical information associated with the disable-bodied person, calculating a ruler associated with each disease case by executing an MT system using the plurality of parameters for each disease associated with the disable-bodied person, calculating a distance between the object and a state space of the disable-bodied person associated with the each disease by executing the MT system using a plurality of parameters associated with the object, determining a disease type of the object by using the ruler and a distance between the object and a state space of a disable-bodied person, and generating diagnosis support information based on the determination result.

Abstract: An image data processing system automatically indicates an image of a digitally subtracted Angiography (DSA) image sequence is associated with at least one of, arterial, venous, or capillary phases of blood flow. The system includes an interface for acquiring data representing a DSA sequence of digitally subtracted images enhancing vessel structure. An image data processor automatically indicates an image of the DSA sequence is associated with at least one of, arterial, venous, or capillary phases of blood flow by determining individual minimum luminance intensity level values of individual images of the DSA sequence and using the determined individual minimum luminance intensity level values in identifying images of the DSA sequence are associated with at least one of, arterial, venous, or capillary phases of blood flow. An output processor automatically assigns an attribute to image data to identify vessel phase in response to the identifying images of the DSA sequence.

Abstract: The present invention describes a method for rendering and displaying a curved planar reformat (CPR) view (7?) of a blood vessel's 3D tubular structure (1), wherein the viewing direction of the curved planar reformat view (7?) is coupled to the viewing angle on a segmented or raw representation of the 3D tubular structure's rendered voxel volume to be visualized or, alternatively, to the C-arm geometry of a 3D rotational angiography device's C-arm system (6). The proposed method thus enables measurements on the X-ray image which do not suffer from spatial foreshortening and do not need to be calibrated. Thereby, said coupling can be performed bidirectional. According to a first aspect of the proposed method, this means that the viewing direction of the aforementioned curved planar reformat view (7?) follows the viewing angle on a segmented or raw representation of the 3D tubular structure's rendered voxel volume to be visualized, or vice versa.

Abstract: Method and sequence for locating anomalous features in medical images in which medical images are supplied by an external source such as a CAT or XRAY scan machine or other similar device. A sequence of specific measurements is executed on the supplied data to obtain metrics relating to the images. The metrics are then compared to the corresponding values in an accompanying database resulting in an anomalous/not anomalous determination. Anomalous determinations are presented to the test operator for final analysis along with supplemental historical data. In application to all types of medical imagery, potential anomalies are quickly located resulting in an efficient and more accurate diagnosis.

Abstract: Provided are a method of determining a brightness value of a target area on an optical image, and a computer-readable recording medium including a program for executing the method on a computer. Target brightness values of a plurality of target areas in an optical image are accurately compared with each other by plotting a graph with brightness values depending on positions within a subject.

Abstract: A medical image processing apparatus includes a difference calculator, a removal part, a first statistical processing part, and an estimation part. The difference calculator receives a plurality of medical image data with different imaging positions and obtains the difference between the plurality of medical image data, thereby generating difference image data that represents the difference. The removal part removes the region corresponding to a structure from the difference image data. The first statistical processing part obtains the first standard deviation of pixel values of each pixel of the difference image data with the region corresponding to the structure removed. The estimation part estimates the second standard deviation of the medical image data based on the first standard deviation. The medical image processing apparatus can estimate noise level of medical image data.

Abstract: Apparatus and methods are described for use with a plurality of angiographic image frames of a moving lumen of a subject, including aligning the image frames with each other. Using the aligned image frames, a time it takes a contrast agent to travel a known distance through the lumen is determined. At least partially in response thereto, a characteristic of the lumen is determined, and, in response to the determined characteristic, an output is generated on a display. Other applications are also described.

Abstract: A determination method for reinitialization of a temporal sequence of fluoroscopic images of an examination region of an examination object is provided. The examination region comprises a vascular system including arteries and/or veins. An acquisition time is assigned to each of the images representing a given distribution of a substance in the examination region at the acquisition time. A computer receives the temporal sequence of the images, determines an evaluation image corresponding spatially on a pixel-by-pixel basis to the images, and calculates a differential value between a pixel of the evaluation image at a time and a pixel at a preceding time during a time characteristic of the sequence. A reinitialization of the temporal sequence of the images is performed at a specific time and thereafter the determination method is started over and/or repeated. The specific time is determined as a function of at least one previously calculated differential value.

Abstract: A protrusion of at least a part of a surface of an internal part of a human or animal body is detected from three dimensional digital data representing the surface or the part. A surface region is detected from the three dimensional digital data. The surface region has at least one point at which a first and second normal curvature intersect that both have an original curvature value that is larger than zero or both have an original curvature value that is smaller than zero. The second normal curvature has a curvature value that is closer to zero than the curvature value of the first normal curvature. The second normal curvature is digitally modified such that it has a modified curvature value that is closer to zero than its original curvature value. The modification the surface region is digitally deformed such that a deformed surface region is formed. The extent of deformation of the deformed surface region is compared to the detected surface region to determine an amount of protrusion.

Abstract: Method for registering a three dimensional (3D) pre acquired image coordinates system with a Medical Positioning System (MPS) coordinate system and a two dimensional (2D) image coordinate system, the method comprising acquiring a 2D image of a volume of interest, the volume including an organ, the 2D image being associated with the 2D coordinate system, acquiring MPS points within the organ, the MPS points being associated with the MPS coordinate system, the MPS coordinate system being registered with the 2D coordinate system, extracting a 3D image model of the organ from a pre acquired 3D image of the volume of interest, estimating a volumetric model of the organ from the acquired MPS points, and registering the 3D coordinate system with the MPS coordinate system by matching the extracted 3D image model and the estimated volumetric model of the organ.

Abstract: Provided are an X-ray analyzer and a mapping method for an X-ray analysis which, in a inspection for a harmful substance contained in, for example, a material or a composite electronic component, enable determination as to whether a sample is normal or abnormal to be performed visually based on an image obtained by the X-ray mapping analysis. In the X-ray analyzer, an X-ray mapping image of a sample which is confirmed to be normal in advance is obtained as a reference mapping image. A mapping analysis is performed on a inspection sample. A difference from the reference mapping image is obtained for each pixel, to thereby display a difference mapping image. A region in which the amount of specific element is larger than a reference amount is displayed with high brightness, and hence an abnormal portion may be easily found.

Abstract: A method for simulating a blood flow in a vascular segment of a patient is proposed. A 3D image dataset of an examination region is recorded by a radiographic diagnostic device for generating a 3D vascular model. Contrast agent propagation in the examination region is captured by a dynamic 2D angiography method for generating a real 2D angiography recording. A CFD simulation of the blood flow is performed in the 3D vascular model based on a blood flow parameter for generating a virtual 2D angiography recording. A degree of correspondence between the real and the virtual 2D angiography recordings is determined from identical angulation and adjusted recording geometry of the patient and compared with predefinable tolerance values. The CFD simulation is iteratively optimized while changing the blood flow parameter as a function of the comparison. The degree of correspondence is outputted when the optimum CFD simulation is achieved.

Abstract: Apparatus and methods are described for use with a lumen including, without generating a virtual three-dimensional model of the lumen, and by performing image processing on two-dimensional angiographic images, determining blood velocity within the lumen, and determining geometry of the lumen at a given location. A value of a current flow-related parameter at the location is determined based upon the determined blood velocity and the geometry of the lumen at the location. An indication of a value of a second flow-related parameter of the subject is received, and a value of a luminal-flow-related index of the subject at the location is determined, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter. Other applications are also described.

Abstract: A method of extracting at least one time-value curve to determine a protocol in an imaging procedure using an imaging system, includes: determining a first N-dimensional data set of pixel values of a portion of a body of the patient at a first time using the imaging system, wherein N is an integer; determining at least a second N-dimensional data set of pixel values of the portion at a second time using the imaging system; computing a predetermined number of correlated segments of the imaged portion corresponding to a predetermined number of regions of interest of the patient by computing a similarity metric of a time series of pixel values; computing the at least one time-value curve for at least one of the regions of interest; and determining a protocol for a diagnostic scan using the image system based at least in part upon data from the time value curve.

Abstract: A method quantifies cardiac volume flow for an imaging sequence. The method includes receiving data representing three-dimensions and color Doppler flow data over a plurality of frames, constructing a ventricular model based on the data representing three-dimensions for the plurality of frames, the ventricular model including a sampling plane configured to measure the cardiac volume flow, computing volume flow samples based on the sampling plane and the color Doppler flow data, and correcting the volume flow samples for aliasing based on volumetric change in the ventricular model between successive frames of the plurality of frames.

Abstract: Apparatus and methods are described for imaging a portion of a body of a subject that undergoes a motion cycle. A plurality of image frames of the portion are acquired. The image frames are enhanced with respect to a first given feature of the image frames, by (a) image tracking the image frames with respect to the first given feature, (b) identifying a second given feature in each of the image frames, and (c) in response to the identifying, reducing visibility of the second given feature in the image frames. The image frames that (a) have been image tracked with respect to the first given feature, and (b) have had reduced therein the visibility of the second given feature, are displayed as a stream of image frames. Other embodiments are also described.

Abstract: Methods and computer program products for quantitative three-dimensional (“3D”) image correction in optical coherence tomography. Using the methods and computer program products, index interface (refracting) surfaces from the raw optical coherence tomography (“OCT”) dataset from an OCT system can be segmented. Normal vectors or partial derivatives of the curvature at a refracting surface can be calculated to obtain a refracted image voxel. A new position of each desired refracted image voxel can be iteratively computed. New refracted corrected voxel positions to an even sampling grid can be interpolated to provide corrected image data. In some embodiments, clinical outputs from the corrected image data can be computed.

Abstract: A system provides a roadmap image displaying a vessel structure using an imaging system to acquire data representing multiple temporally sequential individual images of vessels of a region of interest of patient anatomy in the presence of a contrast agent. An image data processor generates multiple sequential cumulative images corresponding to the individual images and an individual current cumulative image corresponds to a current image of the individual images. The current cumulative image comprises cumulative pixel luminance values and an individual cumulative pixel luminance value is generated from luminance values of pixels, spatially corresponding to the individual cumulative pixel and present in images comprising a subset of the individual images. The subset comprises contiguous images of the temporally sequential individual images acquired preceding the current image and including the current image. An output processor provides the multiple sequential cumulative images to a destination.

Abstract: The present invention provides a method for real-time tracking of moving flexible surfaces and an image guided surgical robotic system using this tracking method. A vision system acquires an image of the moving flexible surface and identifies and tracks visual features at different times. The method involves computing both rigid and stretching transformations based on the changing positions of the visual features which are then used to track any area of interest on the moving flexible surface as it evolves over time. A robotic surgical system using this real-time tracking is disclosed.

Abstract: Systems and methods for extracting information about an organism of interest, such as an atlas of the organism of interest; a storage device for at least temporarily storing an image of the organism of interest; and an operating device that automatically creates a map of the image of the organism of interest and automatically compares the map of the image to the atlas of the organism.

Abstract: A method of medical image registration includes obtaining a first medical image generated before a medical surgery; obtaining a second medical image generated in real time during the medical surgery; extracting landmark points of at least two adjacent anatomical objects recognizable in the second medical image among a plurality of anatomical objects near an organ of interest of a patient from the first medical image and the second medical image; and registering the first medical image and the second medical image based on a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the first medical image and a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the second medical image.

Abstract: Apparatus and methods are described for imaging a portion of a body of a subject that undergoes a motion cycle, including acquiring a plurality of image frames of the portion of the subject's body. A given feature is identified in at least some of the image frames. At least some image frames are image tracked with respect to the feature, and the image frames that have been image tracked with respect to the given feature are displayed as a stream of image frames. Visibility of a periphery of the displayed stream of image frames is at least partially reduced, by applying a mask to the displayed stream of image frames. Other applications are also described.

Abstract: A magnetic resonance imaging (MRI) methodology is provided for simultaneous measurement of dynamic susceptibility contrast (DSC) MRI and dynamic contrast enhanced (DCE) MRI perfusion and permeability parameters using a combination of dual echo and spiral acquisition techniques with no contrast agent preload. T1 and T2/T2* leakage effects are eliminated, thereby permitting accurate measurement of blood volume, blood flow and vascular permeability which are used in evaluating tumor angiogenesis.

Abstract: A method is disclosed for determining a planar examination area based on the recording of a first and also a second three-dimensional medical image. In at least one embodiment, the two images each map the least one common examination area, wherein the second image was recorded via a radiopharmaceutical and via a different modality from the first image. The first image is segmented so that the examination area in the segmented first image is represented by a two-dimensional surface, through which a determination of a distance between the image elements of the second image and the image elements of the segmented first image forming the surface is made possible by use of a common coordinate system of the two images. Finally image elements of the second image are assigned to the image elements of the segmented, first image forming the surface, depending on a criterion relating to the distance.

Abstract: A method is disclosed for processing an output image of an examination object, with the output image having been reconstructed from measuring data acquired during a relative rotational movement between a radiation source of a computed tomography system and the examination object. An image frequency division of an output image takes place in at least a first and a second image. In at least one embodiment, the first image is changed by way of a first function, with the first function effecting a contrast intensification within the first image, and the changed first image and the second image are merged together.

Abstract: A CT angiography apparatus compensates for respiratory motion. During a helical scan, a radiation source and a detector generate data sets corresponding to a plurality of sub-volumes of a blood vessel over a plurality of cardiac cycles. Sub-volume data sets corresponding to a selected cardiac phase are reconstructed into a plurality of sub-volume images. Characteristic points in the sub-volume images are identified. A computer routine or processor calculates a respiratory motion vector based on the identified characteristic points in a plurality of the sub-volume images. An image reconstruction routine or processor reconstructs the original sub-volume data in the selected cardiac phase into a volume image representation using the calculated respiratory motion vector.

Abstract: A medical image processing apparatus includes a first extraction part, an adding part, a first specifying part, and a second specifying part. The first extraction part extracts an air region from volume data after receiving volume data representing a region including an organ under observation. The adding part adds pixel values of the pixels in the air region along a predetermined projection direction to generate projection image data representing the distribution of the added value of pixel values. The first specifying part specifies a first characteristic point from the projection image data. The second specifying part specifies, as a second characteristic point, a point on a line passing a first characteristic point in an air region.

Abstract: A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.

Abstract: An angiographic method is provided. The method includes: identification of a relevant part in acquired angiography 4D sequences which exhibit a vascular disorder or change; determination of a centerline for the part; ascertainment of lines parallel and surrounding the centerline; specification of perpendicular cross-sections; determination of voxels; ascertainment of bolus curves as a function of time for each voxel; which intersects one of the cross-sections; determination of a time for each voxel; measurement of the true Euclidean distance between voxels at the positions along the centerline and the parallel lines; division of the measured distance by the time difference; determination of second speed components, running transversely, proportional to the relative change in mass for each voxel; and calculation of the blood flow in the relevant part of the vascular system on the basis of the speed components.

Abstract: A medical image processing apparatus includes a vessel running data generating unit, a lesion site detecting unit, a vessel dominant region data generating unit, a lesion site dominant region data generating unit, and a diagnostic image data generating unit. The vessel running data generating unit generates vessel running data of a vessel. The lesion site detecting unit detects positional information of a lesion site in the vessel. The vessel dominant region data generating unit generates vessel dominant region data indicating a region dominated by the vessel in a region provided with nutrition. The lesion site dominant region data generating unit generates lesion site dominant region data indicating a region dominated by the lesion site in the region provided with nutrition. The diagnostic image data generating unit generates diagnostic image data by superimposing the vessel dominant region data and the lesion site dominant region data on morphological image data.

Abstract: A method automatically scores calcium in the aorta and other arteries of the body using calcium plaque definitions that include subject specific in vivo blood/muscle density measurements, subject specific voxel statistical parameters and 2D and 3D voxel connectivity criteria to automatically identify the plaques. The images are optionally calibrated with external phantoms or internal reference tissue. Aortic calcium is identified automatically without manual marking. Potential false plaques from bone are automatically excluded. A 3D coordinate system provides the specific coordinates of the detected plaques, which are displayed in a plaque map for follow-up exams or ease in plaque review.