Abstract: A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.

Abstract: A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.

Abstract: A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.

Abstract: A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.

Abstract: A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.

Abstract: A method and apparatus for automated localization of at least one moving structure internal to a body is disclosed. The method in one example comprises acquiring a sequence of images of a region of the body, the region the body including the at least one moving structure, computing a motion map of a current frame of the sequence of the images, identifying a plurality of candidate pixels comprising the motion map, clustering the plurality of candidate pixels into at least one cluster, the at least one cluster corresponding to the at least one moving structure and computing a representative point of each of the at least one cluster.

Abstract: A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.

Abstract: A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.

Abstract: A method for registering a source image of an object with a target image of the object includes generating a mask image delineating a structure of interest from the source image, determining a distance map for the mask image, determining a shape representation by identifying an iso-value on the distance map such that level curves correspond to the characteristics of a desired shape, iteratively calculating a similarity metric corresponding to a region of overlap between the level curve based shape representation and the second image resulting in a registration transform, applying the registration transform to the target image to co-register the source image with the target image, and displaying the co-registered source image and the target image on a display device.

Abstract: A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.