Abstract: An electronic exchange system network includes a trader site having an automated trading system capable of submitting orders and/or quotes to an exchange site. The automated trading system determines whether an order or quote should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices. The theoretical buy and sell prices are derived from, among other things, the current market price of the security underlying the option. The theoretical buy and sell prices are calculated when underlying factors that contribute to the theoretical prices change. Computation times of the theoretical prices may be reduced by using precalculated values and/or using interpolation and extrapolation. Other techniques may be used in addition or in the alternative to speed automatic decision-making. In addition, a system of checks may be conducted to ensure accurate and safe automated trading.

Abstract: A method and system for spatio-temporal (4D) modeling of an object includes sampling the 4-D model at one point in time to create a 3-D model. This 3-D model is then fit based on user-supplied guide points, image forces (e.g., image edges) and prior shape models. Once the 3-D model fit is completed the full 4-D shape model is updated. Cardiac images can be spatio-temporally modeled to determine LV conditions.

Abstract: An electronic exchange system network includes a trader site having an automated trading system capable of submitting orders to an exchange site. The automated trading system determines whether an order should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices. The theoretical buy and sell prices are derived from, among other things, the current market price of the security underlying the option. A look-up table stores a range of theoretical buy and sell prices for a given range of current market price of the underlying security. Accordingly, as the price of the underlying security changes, a new theoretical price may be indexed in the look-up table, thereby avoiding calculations that would otherwise slow automated trading decisions. Other techniques may be used in addition or in the alternative to speed automatic decision-making. In addition, a system of checks may be conducted to ensure accurate and safe automated trading.

Abstract: A system and method for tracking and classifying the left ventricle of the heart using cine-delayed enhancement magnetic resonance (Cine-DEMR) are provided. The method for tracking the left ventricle comprises: delineating myocardial borders of the left ventricle in an image of a first phase of a cardiac cycle of the heart; registering the image of the first phase with an image of a second phase of the cardiac cycle; copying the myocardial borders from the first phase onto the second phase; fitting the myocardial borders of the first phase to myocardial borders of the second phase; and refining the myocardial borders of the second phase.

Abstract: A system and method for automatically determining the standard cardiac image views as defined by the American Heart Association from volumetric data of the chest including the heart. The system and method can be used by a health practitioner to quickly see the two dimensional views from which a diagnosis is generally made. The left ventricle is detected. Then the relative orientation of the right ventricle is determined and the standard cardiac views are determined.

Abstract: For diagnosis and treatment of cardiac disease, images of the heart muscle and coronary vessels are captured using different medical imaging modalities; e.g., single photon emission computed tomography (SPECT), positron emission tomography (PET), electron-beam X-ray computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound (US). For visualizing the multi-modal image data, the data is presented using a technique of volume rendering, which allows users to visually analyze both functional and anatomical cardiac data simultaneously. The display is also capable of showing additional information related to the heart muscle, such as coronary vessels. Users can interactively control the viewing angle based on the spatial distribution of the quantified cardiac phenomena or atherosclerotic lesions.

Abstract: A system and method for patient-specific coronary territory mapping are provided, the system including an adapter unit for receiving three-dimensional (“3D”) image data, a modeling unit in signal communication with the adapter unit for fitting a geometric model to the received data and segmenting coronary vessels from the received data, and a mapping unit in signal communication with the modeling unit for mapping the segmented vessels to the surface of the model; and the method including receiving 3D image data, fitting a geometric model to the received data, segmenting coronary vessels from the received data, and mapping the segmented vessels to the surface of the model.

Abstract: A method and device for image processing to determine image characteristics includes operations of segmenting of first images to create segmentation contours corresponding to the first images; and registering the segmented first images to second images. Further, operations of transferring the segmentation contours from the first images to second images; and fitting the transferred segmentation contours in the second images are performed.

Abstract: A method for the generation of a 3D statistical shape model for a left ventricle of a heart generating an average left ventricle by aligning the datasets, selecting landmarks, and setting weights expressing confidence for each landmark, and determining a statistical model from a set of aligned shape model by principle component analysis.

Abstract: A method and system for spatio-temporal (4D) modeling of an object includes sampling the 4-D model at one point in time to create a 3-D model. This 3-D model is then fit based on user-supplied guide points, image forces (e.g., image edges) and prior shape models. Once the 3-D model fit is completed the full 4-D shape model is updated. Cardiac images can be spatio-temporally modeled to determine LV conditions.

Abstract: A method, system, and apparatus of determining optimal viewing planes for cardiac image acquisition, wherein the method includes acquiring a set of sagittal, axial, and coronal images of a heart, where the axial and coronal images intersect with the sagittal image orthogonally, and where the heart has a natural axis and a left ventricle (“LV”) with a bloodpool, a bloodpool border, and an apex. The method also includes making a map of the bloodpool border, and using the map to create a full coordinate frame oriented along the natural axis.

Abstract: A system and method for acquisition-time modeling and automated post-processing are provided, where the system includes a processor, a user interface in signal communication with the processor for receiving preliminary scan data, a modeling unit in signal communication with the processor for fitting a model to the preliminary scan data, an imaging adapter in signal communication with the processor for receiving detailed scan data, and a detection unit in signal communication with the processor for detecting expected features in the detailed scan data; and the method includes receiving preliminary scan data, fitting a model to the preliminary scan data, receiving detailed scan data responsive to the model, and checking for expected features in the detailed scan data.

Abstract: A method and system for medical image acquisition are provided, where the method includes acquiring an image of the region of interest, acquiring a model for a region of interest, and fitting the model to the image; the system includes a modeling unit for modeling a region of interest; an acquisition unit in signal communication with the modeling unit for acquiring an image of the region of interest; and a fitting unit in signal communication with the acquisition unit for fitting the model to the image.

Abstract: The present invention relates to a system of modeling a three dimensional target object which is represented by a plurality of cross-sectional images in order to provide a representative corresponding three dimensional model. The invention selects an initial model from a plurality of available initial models. This selection involves identifying an initial model based on physical similarity to the target object and then superimposing an initial model upon the target object, for each of the plurality of cross-sectional images. A determination is then made of an intersection contour of the initial model and a cross-sectional image of the target object and the determined intersection contour is refined in order to more closely delineate the target object. By sub-sampling points which represent the refined determined intersection contour, the invention obtains a sub-sampled contour dataset.

Abstract: A system and method for imaging and identifying non-viable myocardial tissue in a patient's myocardium is disclosed. Images of a section of the myocardium are obtained. An endocardial border and epicardial border of the section of the myocardium is segmented. The section of the myocardium is divided into sectors. One or more selected features of the sectors of the myocardial wall are measured and applied to a decision surface. A determination is made as to whether each sector contains viable or non-viable myocardial tissue. An image that shows each sector of the myocardial wall and an indication of its viability is displayed.

Abstract: A method for the generation of a 3D statistical shape model for a left ventricle of a heart generating an average left ventricle by aligning the datasets, selecting landmarks, and setting weights expressing confidence for each landmark, and determining a statistical model from a set of aligned shape model by principle component analysis.

Abstract: A method for registration of magnetic resonance (MR) and computed topography (CT) images, in accordance with the present invention includes providing MR images having a region of interest delineated by first contours and providing CT images having the region of interest delineated by second contours. A pre-existing model of the region of interest is also provided. The pre-existing model is fit to the first contours or the second contours to provide a first resultant model. The first resultant model is then copied to provide a copied model. The copied model is fit to the other of the first contours and the second contours to provide a second resultant model. By rotating and translating the first resultant model and the second resultant model, the first resultant model and the second resultant model are registered.

Abstract: The present invention relates to a system of modeling a three dimensional target object which is represented by a plurality of cross-sectional images in order to provide a representative corresponding three dimensional model. The invention selects an initial model from a plurality of available initial models. This selection involves identifying an initial model based on physical similarity to the target object and then superimposing an initial model upon the target object, for each of the plurality of cross-sectional images. A determination is then made of an intersection contour of the initial model and a cross-sectional image of the target object and the determined intersection contour is refined in order to more closely delineate the target object. By sub-sampling points which represent the refined determined intersection contour, the invention obtains a sub-sampled contour dataset.

Abstract: A method of modeling a structure comprises the steps of initializing a parametric component of a hybrid model from a volumetric image, the volumetric image comprising image planes, creating starting points for two dimensional segmentations at intersections between the parametric component and the image planes, segmenting a boundary of the structure by applying active contours, sampling the active contours to create a dataset and parametrically and locally fitting the hybrid model to the dataset to represent the structure.

Abstract: A system for analyzing motion contains an overall model that includes local deformations and a scaleable default model having a global component and parametric offsets. The offsets provide two features. First, they help to form an expected model shape which facilitates appropriate model data correspondences. Second, they scale with the global component to maintain the expected shape even in the presence of large global deformations. The system is applied to the recovery of a 3-D object from a volunteer dataset of tagged images.