Abstract: A magnetic resonance imaging (MRI) system, comprising: a magnetic resonance imaging scanner configured to generate a plurality of signals for forming at least one magnetic resonance image of a soft tissue region from a subject under observation, wherein the at least one magnetic resonance image provides at least one integrating feature to facilitate automatic segmentation; a signal processing system in communication with the magnetic resonance imaging scanner to receive the plurality of signals; and a data storage unit in communication with the signal processing system, wherein the data storage unit contains at least one template corresponding to the soft tissue region, wherein the signal processing system is adapted to process the plurality of signals received from the magnetic resonance imaging scanner to automatically perform segmentation for the soft tissue region of the subject under observation by utilizing the at least one template and the at least one integrating feature.

Abstract: A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one anatomical substructure and more than one constituent tissue type; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit is configured to store a parcellation atlas comprising spatial information of the at least one substructure in the tissue region, wherein the signal processing system is adapted to: reconstruct an image of the tissue region based on the imaging signal; parcellate, based on the parcellation atlas, the at least one anatomical substructure in the image; segment the more than one constituent tissue types in the image; and automatically identify, in the image, a portion of the at least one anatomical substructure that correspond to one

Abstract: An embodiment in accordance with the present invention provides a system and method for a three-dimensional interface for interacting with a database. The three-dimensional interface can include an interactive three-dimensional atlas depicting an element of anatomy, machine, device, or other object. Given the three-dimensional nature of the atlas, a user can zoom in on particular areas to view them with more specificity. Different structural points of the anatomy are labeled with names or coordinates, such that the user can select one of the structural points and search a database for information related to that specific structural point. The user can also use specific keywords to search with respect to the specific structural point selected. The three-dimensional interface and atlas are displayed to the user on a computing device that can either house the database within its memory or alternately communicate with the database over a network.

Abstract: A magnetic resonance imaging (MRI) system, comprising: a magnetic resonance imaging scanner configured to generate a plurality of signals for forming at least one magnetic resonance image of a soft tissue region from a subject under observation, wherein the at least one magnetic resonance image provides at least one integrating feature to facilitate automatic segmentation; a signal processing system in communication with the magnetic resonance imaging scanner to receive the plurality of signals; and a data storage unit in communication with the signal processing system, wherein the data storage unit contains at least one template corresponding to the soft tissue region, wherein the signal processing system is adapted to process the plurality of signals received from the magnetic resonance imaging scanner to automatically perform segmentation for the soft tissue region of the subject under observation by utilizing the at least one template and the at least one integrating feature.

Abstract: A method of iteratively screening a sample of electrolytic capacitors having a predetermined rated voltage is provided. The method can include measuring a first leakage current of a first set of capacitors, calculating a first mean leakage current therefrom, and removing capacitors from the first set having a first leakage current equal to or above a first predetermined value, thereby forming a second set of capacitors. The second set can be subjected to a burn in heat treatment where a test voltage can be applied, then a second leakage current of the second set of capacitors can be measured and a second mean leakage current can be calculated. Capacitors having a second leakage current equal to or above a second predetermined value can be removed from the second set, forming a third set of capacitors. Because of such iterative screening, the capacitors in the third set have low failure rates.

Abstract: A non-invasive imaging system, comprising: an imaging scanner; a signal processing system in communication with the imaging scanner to receive an imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores template data corresponding to a tissue region of a subject under observation, wherein the signal processing system is adapted to compute, using the imaging signal and the template data, refined template data corresponding to the tissue region, and wherein the refined template data incorporates subpopulation variability information associated with the tissue region such that the signal processing system provides an image of the tissue region in which a substructure is automatically identified taking into account the subpopulation variability information.

Abstract: A non-invasive medical imaging system includes: an imaging scanner capable of generating an imaging signal from a subject under observation inside the imaging scanner; a signal processing system in communication with the imaging scanner, and a data storage unit in communication with the signal processing system, wherein the data storage unit is suitable for storing a first image corresponding to a tissue region of the subject, wherein the signal processing system is capable of generating a second image encoding the tissue region of the subject by performing a reconstruction based on the imaging signal, the imaging signal acquired at a later time than the first image; wherein the signal processing system is constructed to receive the imaging signal from the imaging scanner and the first image from the data storage unit respectively, wherein the signal processing system is adapted to provide a registered first image by registering the first image to the second image via a transformation in a space of diffeomorp

Abstract: An embodiment of the current invention includes a non-invasive imaging system, comprising: an imaging scanner suitable to generate an image representing a tissue region of a subject under observation, the tissue region having at least one substructure and the image comprising a plurality of image voxels; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit is configured to store: an atlas comprising spatial information of the at least one substructure in the tissue region, and a database comprising a plurality of pre-stored medical images representing the tissue region, and wherein the signal processing system is adapted to: identify, based on the atlas and for each of the at least one substructure, a corresponding portion of image voxels in the image; provide a computed quantification of the corresponding portion of image voxels for

Abstract: A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a precursor abnormality in the subject under observation.

Abstract: A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one anatomical substructure and more than one constituent tissue type; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit is configured to store a parcellation atlas comprising spatial information of the at least one substructure in the tissue region, wherein the signal processing system is adapted to: reconstruct an image of the tissue region based on the imaging signal; parcellate, based on the parcellation atlas, the at least one anatomical substructure in the image; segment the more than one constituent tissue types in the image; and automatically identify, in the image, a portion of the at least one anatomical substructure that correspond to one

Abstract: A non-invasive medical imaging system includes: an imaging scanner capable of generating an imaging signal from a subject under observation inside the imaging scanner; a signal processing system in communication with the imaging scanner, and a data storage unit in communication with the signal processing system, wherein the data storage unit is suitable for storing a first image corresponding to a tissue region of the subject, wherein the signal processing system is capable of generating a second image encoding the tissue region of the subject by performing a reconstruction based on the imaging signal, the imaging signal acquired at a later time than the first image; wherein the signal processing system is constructed to receive the imaging signal from the imaging scanner and the first image from the data storage unit respectively, wherein the signal processing system is adapted to provide a registered first image by registering the first image to the second image via a transformation in a space of diffeomorp

Abstract: A non-invasive imaging system, comprising: an imaging scanner; a signal processing system in communication with the imaging scanner to receive an imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores template data corresponding to a tissue region of a subject under observation, wherein the signal processing system is adapted to compute, using the imaging signal and the template data, refined template data corresponding to the tissue region, and wherein the refined template data incorporates subpopulation variability information associated with the tissue region such that the signal processing system provides an image of the tissue region in which a substructure is automatically identified taking into account the subpopulation variability information.

Abstract: A non-invasive imaging system, including: a non-invasive imaging scanner; a signal processing unit in communication with the imaging scanner to receive an imaging signal from a subject under observation; and a data storage unit in communication with the signal processing unit, wherein the data storage unit stores template data corresponding to a tissue region of the subject, and wherein the signal processing unit is adapted to generate a surface map to encode a property of a subvolume of the tissue region using the template data.

Abstract: A magnetic resonance imaging (MRI) system, comprising: a magnetic resonance imaging scanner configured to generate a plurality of signals for forming at least one magnetic resonance image of a soft tissue region from a subject under observation, wherein the at least one magnetic resonance image provides at least one integrating feature to facilitate automatic segmentation; a signal processing system in communication with the magnetic resonance imaging scanner to receive the plurality of signals; and a data storage unit in communication with the signal processing system, wherein the data storage unit contains at least one template corresponding to the soft tissue region, wherein the signal processing system is adapted to process the plurality of signals received from the magnetic resonance imaging scanner to automatically perform segmentation for the soft tissue region of the subject under observation by utilizing the at least one template and the at least one integrating feature.

Abstract: A method of generating a normalized image of a target head from at least one source 2D image of the head. The method involves estimating a 3D shape of the target head and projecting the estimated 3D target head shape lit by normalized lighting into an image plane corresponding to a normalized pose. The estimation of the 3D shape of the target involves searching a library of 3D avatar models, and may include matching unlabeled feature points in the source image to feature points in the models, and the use of a head's plane of symmetry. Normalizing source imagery before providing it as input to traditional 2D identification systems enhances such systems' accuracy and allows systems to operate effectively with oblique poses and non-standard source lighting conditions.

Abstract: An apparatus and method for processing images with regions representing target objects involves registering a first and a second image, where the second image contains a target object. The method comprises the steps of identifying a region in the second image containing one or more image data elements representing the target object, transforming the second image to reduce the size of the region containing the target object, and registering the first image and the second image. Another embodiment comprises the steps of identifying a region in the second image containing one or more image data elements representing a target object. After identifying this region, the first and second images are registered using a first transform component that filters one or more data elements in the second image that are contained in the identified region, and a second transform component that includes one or more data elements in the second image that are contained in the identified region.

Abstract: A system according to the invention identifies image data points defining a curve. The method comprises the steps of determining a start point and an end point for the curve, establishing a search space that includes at least the start point, the end point, and other image data elements comprising the curve, and searching the search space using a dynamic programming algorithm to locate image data elements corresponding to the curve. Another embodiment consistent with the present invention identifies image data points defining a curve. The method comprises the steps of determining a start point and an end point for the curve, generating a model of the curve, establishing a search space that includes at least the start point, the end point, and other image data elements comprising the curve, and searching the search space using a dynamic programming algorithm and the model for the curve to locate image data elements corresponding to the curve.

Abstract: An apparatus and method for image registration of a template image with a target image with large deformation. The apparatus and method involve computing a large deformation transform based on landmark manifolds, image data or both. The apparatus and method are capable of registering images with a small number of landmark points. Registering the images is accomplished by applying the large deformation transform.

Abstract: A method and apparatus for classifying population states based on shape characterizations of sub-manifolds of points, curves, surfaces, or sub-volumes. A structure is examined using, for example, clinical imaging techniques such as CT, MRI, or Ultrasound. The image is then subjected to a transform function to generate a map of the new image. The new image map which contains information regarding the shape of the structure is compared to average shapes characterizing population groups. If the shape of the new image falls within a best match probability with an average shape, the new image is classified as a member of the population characterized by the average shape. Each population represents a specific classification state. Thus, if the shape of the new structure resembles the average shape of a population group, the new shape is classified as the same population state as the other structures displaying the same shape characteristics.

Abstract: An apparatus and method for image registration involves computing a first transform based on landmark manifolds, using a distance measure, computing a second transform from the distance measure and the first transform. Registering the images is accomplished by applying the second transform.