Abstract: An image processing apparatus comprises: shape obtaining means for obtaining information indicating a surface shape of a target object; discrimination means for discriminating a contact portion and a noncontact portion between the target object and an imaging surface of an ultrasonic probe which captures an ultrasonic image of the target object; position and orientation obtaining means for obtaining information indicating a position and orientation of the ultrasonic probe at the time of imaging; and alignment means for estimating deformation of the target object based on information indicating the surface shape, a discrimination result obtained by the discrimination means, and information indicating the position and orientation, and aligning the surface shape with the ultrasonic image.

Abstract: An apparatus for use in performing imaging a region of a patient's body including a first imaging system for acquiring first imaging information including a first region of interest using a first imaging modality, a second imaging system for acquiring second imaging information including a second region of interest using a second imaging modality, a first drive system for selectively moving at least a portion of one of the first and second imaging systems relative to an imaging reference frame, wherein the first drive system is operative to move one of the first and second imaging systems independent of movement of the other of the first and second imaging systems.

Abstract: A method for processing a sequence of a plurality of projection images of an object of interest is provided. The method, being recursive, comprises defining, a priori, a sparse image and a series of models for breaking down the object as a sum of a sparse component and of a complementary non-sparse component; initializing a sparse image depending on the sparse image defined a priori and initializing the series of models for breaking down the object; reconstructing an image of the sparse component of the decomposition model of the object from acquired projection images and from the initialized sparse image; and updating the sparse image so that, during the iterations, the reconstruction of the image of the sparse component gradually reintroduces the complementary component into the sparse image, in order to obtain a complete image of the non-sparse object.

Abstract: Certain embodiments of the present invention provide a system and method for temporally aligning a plurality of cardiac image sequences. The method includes performing a locally linear embedding algorithm on a first set of cardiac image sequences and on a second set of cardiac image sequences. A graphical representation is created for the first set of cardiac image sequences and the second set of cardiac image sequences. A determination is made whether the first set of cardiac image sequences and the second set of cardiac image sequences were generated from a similar point of view. If a similar point of view is found, the first graphical representation and the second graphical representation are aligned using a minimization function. If a similar point of view is not found, the graphs are aligned with a template and then aligned with each other using the minimization function.

Abstract: A first processed signal is extracted by extracting an input spatial frequency component corresponding to a periodic pattern by performing filtering processing on an image signal. A subject component of an image included in the extracted first processed signal is extracted from the first processed signal. A second processed signal is extracted by subtracting the first processed signal from the image signal and also by adding the extracted subject component to the image signal.

Abstract: An image generating unit generates a medical image. A deciding unit detects a reaching time at which a contrast agent has reached a predetermined region of the medical image. The deciding unit sets a color map in which the reaching time is associated with a hue based on a first inflow time corresponding to a first designation region set to the medical image and a second inflow time corresponding to a second designation region. A generating unit generates a hue conversion image in which a hue is allocated to each region of the medical image based on the color map and the reaching time in each region of the medical image. A control unit displays the hue conversion image through a monitor.

Abstract: A method for surgical planning is disclosed. A set of related two-dimensional (2D) anatomical images or 3D images is displayed. A plurality of anatomical landmarks are identified on the set of anatomical images. A three-dimensional (3D) representation of a parent prosthesis is scaled to match a scale of the 2D anatomical images based at least in part on a relationship between the anatomical landmarks. A 2D representation of the scaled 3D parent prosthesis is displayed on at least one of the 2D anatomical images. A system for surgical planning 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. The controller also has a prosthesis-to-anatomical-feature relator. The controller is configured to display a set of related two-dimensional (2D) anatomical images from the patient anatomical-based information system on the user interface.

Abstract: The invention relates to the field of digital processing of x-ray images and can be used in digital subtraction angiography to compensate for impact of involuntary patient movement and movement of internal organs on image of the vascular system. The technical result of the claimed invention is the improvement of diagnostic value of subtraction angiographic images by eliminating artifacts caused by the motility of anatomical structures. Technical result is achieved by the that at the stage of digital images registration a search for characteristic details is performed for each image. According to the shift of the said details determine expectable shift of a patient organs. Then perform segmentation of image from the pre-contrast series in the region of homogenous warping; for each region a geometrical transformation is calculated and corresponding geometrical transformations are performed for each region of a series of pre-contrast digital images.

Abstract: A system and method for automatic detection of an object feature, such as a lesion, across a plurality of sets of image data, taken from the same subject, which may optionally be a human patient but which may also optionally be any type of animal or a non-biological subject.

Abstract: A multiple modality imaging system 10 for cardiac imaging includes an x-ray scanner 24,30 which acquires contrast enhanced CT projection data of coronary arteries with a laterally offset flat panel detector and a SPECT imaging scanner 40a,40b, which shares the same examination region and gantry as the x-ray scanner, acquires nuclear projection data of the coronary arteries. A CT reconstruction processor 34 generates a 3D coronary artery image representation, at least one planar coronary artery angiogram, and a 3D attenuation correction map from the acquired CT projection data. A SPECT reconstruction processor 44 corrects the acquired nuclear projection data based on the generated attenuation correction map and generates a SPECT image representation of the coronary arteries from the corrected nuclear projection data. A fusion processor 54 combines the nuclear image representation, the 3D vessel image representation, and the at least one planar vessel angiogram into a composite image.

Abstract: A method of angiographic evaluation of a flow diverter in a region of interest having abnormal flow in a vessel of interest, the method using digital division angiogram images at a first segment at or near a proximal end of the region of interest and at a second segment at or near a distal end of the region of interest, and observing differences in flow seen at said first and second segments.

Abstract: An interventional roadmap method with optimization of the mask face is proposed. At least two empty images and at least two fill images are recorded in a mask phase A with a matrix-type array of pixels and stored. The empty and fill images are processed such that the gray values of each pixel of the x-ray images from mask phase A are arranged in ascending order. A mask image is computed from the processed empty and fill images such that the smallest gray values are averaged and from which the mask image will be formed. At least one current x-ray image is recorded and subtracted from the mask image to create roadmap images.

Abstract: A method for registering a 2-D DSA image to a 3-D image volume includes calculating a coarse similarity measure between a 2-D DRR of an aorta and a cardiac DSA image, and a 2-D DRR of a coronary artery and the cardiac DSA image, for a plurality of poses over a range of 2-D translations. Several DRR-pose combinations with largest similarity measures are selected as refinement candidates. The similarity measure is calculated between the refinement candidate DRRs and the DSA, for a plurality of poses over a range of 3-D translations and in-plane rotations. One or more DRR-pose combinations with largest similarity measures are selected as final candidates. The similarity measure between the final candidate DRRs the DSA are calculated for a plurality of poses over a range of 3D translations and 3D rotations, and a DRR-pose combination with a largest similarity measure is selected as a final registration result.

Abstract: 2-D projection images show the variation over time of the distribution of a contrast medium in an examination subject. Each projection image comprises pixels having pixel values corresponding to one another in the projection images that are determined by identical areas of the examination subject. A computer subdivides an image that is to be displayed from the projection images into parcels in one perfusion region. For each parcel, the computer determines a characteristic value and, based on the characteristic value, a projection color. It assigns the projection color to the parcel. The characteristic value is determined based on the pixel values occurring in the parcel of the projection image or their differences from the pixel values of a corresponding parcel of another projection image. The computer outputs a subarea of the projection image containing the perfusion region. It represents each parcel of the perfusion region in its assigned projection color.

Abstract: A computed tomography system has a support stage constructed and arranged to support a subject while under observation, an x-ray illumination system arranged proximate the support stage to illuminate the subject with x-rays, an x-ray detection system arranged proximate the support stage to detect x-rays after they pass through the subject and to provide signals based on the detected x-rays, and a data processing system in communication with the x-ray detection system to receive the signals from the x-ray detection system. The computed tomography system has a dynamic mode of operation and a scanning mode of operation. The data processing system extracts information concerning a dynamic process of the subject based on signals from both the dynamic mode and the scanning mode of operation.

Abstract: A method for performing multi-level eye registration comprising: obtaining a first initial reference eye image by a first diagnostic device and defining a reference coordinate system; obtaining a second eye image by a surgery device, said second eye image being obtained in a pre-surgery phase before the surgery has started; performing a first registration between said first eye image and said second eye image to obtain a first registration result; obtaining a third eye image by said surgery device, said third eye image being obtained after surgery has started; performing a second registration between said second eye image and said third eye image to obtain a second registration result; combining said first and second registration results to obtain a combined registration result to thereby obtain a registration between said initial reference eye image obtained by said diagnostic device and said third eye image obtained by said surgery device after surgery has started.

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: 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 maybe 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 thermally inducing and monitoring changes to localized regions of tissue by illuminating a volume of tissue with a first beam of X-rays, detecting portions of the first beam that passed through the volume, generating a first image signal from the portions of the first beam detected, applying heat to at least a localized region of tissue within the volume after the illuminating and detecting, illuminating the volume with a second beam of X-rays, detecting portions of the second beam that passed through the volume during the illuminating with the second beam, generating a second image signal from the portions of the second beam detected, and generating a difference image signal based upon a comparison of the first and second image signals. The difference image signal provides information of changes in X-ray attenuation by localized regions of tissue within the volume due to the application of heat.

Abstract: A novel and useful system and method of detecting the best candidate frames for diagnosis out of a series of coronary angiograms frames. The mechanism analyzes the motion of the visible arteries in the sequence of angiogram frames to identify the local minimas of the differences between sequential frames. Wavelet transform coefficients are generated for each frame and used to quantify the differences between every two sequential frames to detect minimal differences (which correspond to minimal motion). The optimal end-systole and end-diastole frames are selected from these local minima frames.

Abstract: Extracting a branch structure and a surrounding structure area in which a surrounding structure of the branch structure exists from a three-dimensional medical image, setting an attention branch structure in the branch structure, estimating an attention surrounding structure area functionally associated with the attention branch structure from the surrounding structure area based on the branch structure, obtaining an evaluation value in the attention surrounding structure area, and generating a mapped image which is an image generated by mapping the evaluation value in the attention surrounding structure area to a morphological image representing morphology of at least one of the attention branch structure and the attention surrounding structure area.

Abstract: In the present methods, the automatic detection of polyps is converted into a 2D pattern recognition problem using conformal mapping and direct volume rendering. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D plane using conformal mapping. Ray casting is used to determine sub-surface density values and the flattened image is rendered using a volume rendering technique with a translucent electronic biopsy transfer function. Polyp candidates are detected by a clustering method which identifies regions of elevated sub-surface density. The potential for false positives is reduced by analyzing the volumetric shape and texture features of the polyp candidate regions.

Abstract: Embodiments of the invention relate to a method, system, and computer program product to automate image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.

Abstract: Embodiments of the invention relate to automating image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.

Abstract: In an imaging method and a tomosynthesis apparatus, a two-dimensional low-energy image of the predetermined volume segment is obtained after administration of a contrast agent, followed by a two-dimensional high-energy image and then a high-energy tomosynthesis of the predetermined volume segment is obtained with a high total radiation dose that is significantly higher than the low radiation dose. The two-dimensional low-energy image is subtracted from the two-dimensional high-energy image to generate a result with which the concentration of the contrast agent is visible. Additionally, in a time interval in which an enrichment or a washing-out of the contrast agent occurs within the predetermined volume segment, a tomosynthesis of the predetermined volume segment is automatically implemented to show the concentration of the contrast agent in the predetermined volume segment.

Abstract: An image-based biomarker is generated using image features obtained through object-oriented image analysis of medical images. The values of a first subset of image features are measured and weighted. The weighted values of the image features are summed to calculate the magnitude of a first image-based biomarker. The magnitude of the biomarker for each patient is correlated with a clinical endpoint, such as a survival time, that was observed for the patient whose medical images were analyzed. The correlation is displayed on a graphical user interface as a scatter plot. A second subset of image features is selected that belong to a second image-based biomarker such that the magnitudes of the second image-based biomarker for the patients better correlate with the clinical endpoints observed for those patients. The second biomarker can then be used to predict the clinical endpoint of other patients whose clinical endpoints have not yet been observed.

Abstract: A data management system automatically manages image buffers to produce images for angiography using a first memory portion, a second memory portion and an image data processor. The first memory portion stores first image frame data representing minimum luminance values of individual pixels of a sequence of medical images. The second memory portion stores second image frame data comprising a difference between the minimum luminance values and corresponding maximum luminance values. The image data processor processes data representing an acquired X-ray image frame of a catheterized vessel using a stored frame of maximum or minimum pixel luminance values and the second image frame data to provide an image with enhanced visualization of a catheter in a vessel.

Abstract: A medical imaging device and a method for providing an image representation supporting inaccurate positioning of an intervention device in a vessel intervention procedure is proposed. Therein, an anatomy representation (AR) of a vessel region of interest and at least one angiogram X-ray image (RA) and a live fluoroscopy X-ray image (LI) are acquired.

Abstract: A system for providing automatic diagnosis and decision support includes: a medical image database; generative learning and modeling modules that build distributional appearance models and spatial relational models of organs or structures using images from the medical image database; a statistical whole-body atlas that includes one or more distributional appearance models and spatial relational models of organs or structure, in one or more whole-body imaging modalities, built by the generative learning and modeling modules; and discriminative learning and modeling modules that build two-class or multi-class classifiers for performing at least one of organ, structure or disease detection or segmentation.

Abstract: A system, method, and apparatus includes a computer readable storage medium with a computer program stored thereon having instructions that cause a computer to access a first anatomical image data set of an imaging subject acquired via a morphological imaging modality, access a functional image data set of the imaging subject acquired via a functional imaging modality, register the first anatomical image data set to the functional image data set, segment the functional image data set based on the functional image data set, define a binary mask based on the segmented functional image data set, and apply the binary mask to the first anatomical image data set to construct a second anatomical image data set and an image based thereon. The second anatomical image data set is substantially free of image data of the first anatomical image data set correlating to an area outside the region of physiological activity.

Abstract: A method and system for coronary artery detection in 3D cardiac volumes is disclosed. The heart chambers are segmented in the cardiac volume, and an initial estimation of a coronary artery is generated based on the segmented heart chambers. The initial estimation of the coronary artery is then refined based on local information in the cardiac volume in order to detect the coronary artery in the cardiac volume. The detected coronary artery can be extended using 3D dynamic programming.

Abstract: A method of reducing noise in an image, comprising: a) for each pixel being examined in the image, selecting a set of search pixels; b) calculating a value of one or more features of a neighborhood of each search pixel, and a value of corresponding features of a neighborhood of the pixel being examined; and c) calculating a reduced noise grey value for each pixel being examined, based on raw or transformed grey values of its search pixels, with greater sensitivity to those with one or more feature values similar to those of the pixel being examined; wherein calculating the value of at least one feature comprises calculating a characteristic of a distribution of raw or transformed grey values of pixels in the neighborhood, other than a mean grey value of all pixels in the neighborhood.

Abstract: A device, system and method for automatic detection of contractile activity of a body lumen in an image frame is provided, wherein image frames during contractile activity are captured and/or image frames including contractile activity are automatically detected, such as through pattern recognition and/or feature extraction to trace image frames including contractions, e.g., with wrinkle patterns. A manual procedure of annotation of contractions, e.g. tonic contractions in capsule endoscopy, may consist of the visualization of the whole video by a specialist, and the labeling of the contraction frames. Embodiments of the present invention may be suitable for implementation in an in vivo imaging system.

Abstract: According to one embodiment, an image processing apparatus includes a level storage module, an instruction receiving module, a switching module, and a resolution increasing module. The level storage module stores a super-resolution level in association with a video mode that indicates definition to display a video signal. The super-resolution level indicates intensity of super-resolution conversion, in which from a video signal having first resolution, a video signal is obtained that has second resolution higher than the first resolution. The instruction receiving module receives an instruction specifying a video mode. The switching module switches a video mode to the specified video mode. The resolution increasing module performs the super-resolution conversion at a super-resolution level corresponding to the specified video mode.

Abstract: Extraction means configured to extract a blood vessel region from medical image data, detection means configured to perform evaluation regarding the shape or signal value distribution information in the periphery of a blood vessel including blood vessel contour points and the margin of blood vessel contour points in the blood vessel region extracted by the extraction means and detecting an abnormal portion on the basis of the evaluation result, and display means configured to display information regarding the abnormal portion detected by the detection means are provided.

Abstract: A method for segmenting a first object from a bounding object within a digital image identifies pixels between first and second endpoint pixels. A volume of interest is defined spanning at least a portion of the object. Pixels within the volume of interest are partitioned into a first subset of pixels that are neither the first object nor bounding object pixels and second subset of pixels that are not contained in the first subset. A spatially varying two-phase segmentation process segments the first object from the bounding object within the second subset of pixels according to the location of each subject pixel within the second subset relative to pixels in the first subset of pixels. The first object segmentation is refined according to the subject pixel location relative to the segmented bounding object and to the first subset of pixels. A segmented image is formed according to the refined segmentation.

Abstract: High resolution time sequences of 3D images that show the dynamics of a time varying changes are provided. The 3D time series of images representing an object that include time varying changes may be produced from lower dimensional image time sequences, such as 2D images. The 2D images may be generated using angiography and may include fluid flow information (e.g., arrival times). The fluid flow information may be provided, for example, by injecting a chemical into the fluid and analyzing its position in the object or body over time. A varying contrast model may be applied to determine the location of the chemical at different points in time which may assist in detecting an ailment.

Abstract: An ultrasound diagnostic apparatus includes an ultrasound probe, a location sensor that detects a location of the ultrasound probe, and a location calculation device configured to calculate a location of echo data in a first three-dimensional coordinate system having a certain point as an origin based on the probe location. A deformation calculation device performs a deformation calculation to deform a shape of the body tissue in either an ultrasound image or a medical image captured by a medical imaging apparatus other than the ultrasound diagnostic apparatus to a shape of the body tissue of the other image. A display image control device performs a coordinate conversion between the coordinate system of the ultrasound image and a coordinate system of the medical image and displays a deformed image based on the deformation calculation and the other image about a same cross-section on a display device.

Abstract: A method for imaging objects is disclosed. In at least one embodiment, the method includes using a first and a second imaging method which differ at least in regard to the spatial resolution or sensitivity. Furthermore, in at least one embodiment, the method includes generating an overview image at least by the first or the second imaging method; simultaneously planning the measurement of the first and the second imaging method on the basis of the overview image; and simultaneously conducting the planned measurements of the first and the second imaging method. A device which conducts at least one embodiment of the method is also disclosed.

Abstract: A system and method for obtaining perfusion images is disclosed. The system and method includes hardware and software for determining physiological characteristics of a patient and determining imaging parameter values for an imaging modality based on the patient's physiological characteristics. The system also includes a controller operative to receive the imaging parameter values for controlling an X-ray device. The X-ray device is coupled with the controller and acquires projection images of the patient, and outputs the projection images to a perfusion evaluation computer for evaluating the perfusion of an region of interest represented in the projection images. The perfusion rate of the region of interest is then output to an output device, such as a display or printer.

Abstract: A medical image processing system includes an angiographic image acquisition unit, a volume data generation unit, a vessel extraction unit, a sorting unit, and an image synthesis unit. The angiographic image acquisition unit acquires an angiographic image on a region including a blood vessel. The volume data generation unit three-dimensionally reconstructs the angiographic image to generate volume data. The vessel extraction unit extracts blood vessels on the basis of the volume data. The sorting unit sorts collateral circulations and ischemic blood vessels on the basis of the blood vessels. The image synthesis unit applies different image processes to the collateral circulations and the ischemic blood vessels, and generates a synthesized image.

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 systems for color flow dynamic frame persistence in ultrasonic imaging are provided.

Abstract: Positioning images are created by a projection-image creating unit before imaging, and the positioning images are grouped and stored by a projection-image storage unit for each preset. When imaging is started, a positioning-information calculating unit calculates positioning parameters using the positioning images stored in the projection-image storage unit. An analysis-image-for-synthesis creating unit creates an analysis image using the positioning parameters, and an analysis-image synthesizing and displaying unit synthesizes the analysis image with a live image and displays a synthesized image. When an imaging direction of an X-ray angiography apparatus is changed, a positioning-information updating unit directly updates the positioning parameters based on an amount of change of the imaging direction.

Abstract: An apparatus for reconstructing an image from the derivative of a sinogram includes means (26) for multiplying a projection orientation unit vector field (24) with the derivative to form an oriented derivative, means (28) for back-projecting the oriented derivative, and means (30-40) for Riesz transforming the back-projected oriented derivative.

Abstract: A method for three-dimensional esophageal reconstruction includes acquiring a first X-ray image from a first angle with respect to a subject using a first X-ray imager. At least a second X-ray image is acquired from a second angle, different than the first angle, with respect to the subject using a second X-ray imager. Additional X-ray images may be acquired from additional angle. A three-dimensional model of the esophagus is generated from the at least two X-ray images acquired at different angles. A set of fluoroscopic X-ray images is acquired using either the first X-ray imager or the second X-ray imager. The three-dimensional model of the esophagus is registered to the acquired set of fluoroscopic X-ray images. The three-dimensional model of the esophagus is displayed overlaying the set of fluoroscopic X-ray images.

Abstract: In the image acquisition mode, desired past images are registered in an image table. A past image selected from the past images registered in the table is displayed as a reference image together with a live image in a predetermined form. Selecting another image registered in the image table at an arbitrary timing will display another past image upon replacing the reference image.

Abstract: A medical image processing device of the invention includes: an image acquisition unit that acquires three-dimensional image data including a moving organ; an image display unit that displays the three-dimensional image data as a three-dimensional image; an object-to-be-measured setting unit that sets a desired object to be measured on the three-dimensional image displayed on the image display unit; a diagnostic index calculating unit that calculates the amount of displacement of the three-dimensional image data in each time phase for the desired object to be measured and calculates a diagnostic index on the basis of the amount of displacement calculated in each time phase; and a control unit that performs control to display the diagnostic index on the image display unit.

Abstract: Methods for vessel segmentation and tracking using 7D MRI flow image data incorporate information from the velocity field and the magnitude. A vessel tracking methods selects a time containing sufficient blood flow through a vessel, uses the magnitude image to determine the vessel boundary and uses the velocity image to define the vessel direction. A method for segmenting tubular and circular objects segments the objects into separate vessels and then uses the velocity data to reunite the objects, where touching components are evaluated by the velocity field where they are connected. If vectors point towards the other component, the two components are reconnected. An advection-diffusion method based on fluid dynamics performs a fluid dynamics simulation with image forces according to the Navier-Stokes equations. With the 7D data, the vector field is available from the flow data, from the time point at which maximal flow occurs in the vessel of interest.

Abstract: Certain embodiments of the present invention provide a method for correlating data including: receiving from a tracking subsystem a first data set including a tracked position of an object; receiving from an imaging subsystem a second data set including an image of the object; and comparing automatically at least a portion of the first data set with at least a portion of the second data based at least in part on the tracked position of the object and the image of the object. In an embodiment, the comparing automatically the first data set with the second data set is performable in real-time. In an embodiment, the method further includes registering the first data set with the second data set. In an embodiment, the tracking subsystem tracks the object electromagnetically, at least in part. In an embodiment, the imaging subsystem includes an x-ray imaging subsystem. In an embodiment, the first data set is generatable by the tracking subsystem substantially in real-time.