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 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.