Abstract: A method for automatic segmentation of intra-cochlear anatomy in post-implantation CT image of bilateral cochlear implant recipients includes coarsely segmenting a labyrinth with a labyrinth surface chosen from a library of inner ear anatomy shapes; creating a target specific ASM for each of the labyrinth and the SOIs using a set of inner ear anatomy surfaces selected from the library of inner ear anatomy shapes such that the set of inner ear anatomy surfaces has the smallest dissimilarity quantity with the coarsely localized labyrinth surface in the post-implantation CT image; refining the coarsely segmented labyrinth surface by performing an ASM-based segmentation of the labyrinth using the target-specific ASM of the labyrinth to obtain a segmented labyrinth; and fitting the points of the target-specific ASM of the SOIs to their corresponding points on the segmented labyrinth to segment the SOIs in the post-implantation CT image.

Abstract: A method for automatic segmentation of intra-cochlear anatomy in post-implantation CT image of bilateral cochlear implant recipients includes coarsely segmenting a labyrinth with a labyrinth surface chosen from a library of inner ear anatomy shapes; creating a target specific ASM for each of the labyrinth and the SOIs using a set of inner ear anatomy surfaces selected from the library of inner ear anatomy shapes such that the set of inner ear anatomy surfaces has the smallest dissimilarity quantity with the coarsely localized labyrinth surface in the post-implantation CT image; refining the coarsely segmented labyrinth surface by performing an ASM-based segmentation of the labyrinth using the target-specific ASM of the labyrinth to obtain a segmented labyrinth; and fitting the points of the target-specific ASM of the SOIs to their corresponding points on the segmented labyrinth to segment the SOIs in the post-implantation CT image.

Abstract: A method for automatic segmentation of intra-cochlear anatomy of a patient. The patient has an implanted ear and a normal contralateral ear. At least one computed tomography (CT) image is obtained to generate a first image corresponding to the normal contralateral ear and a second image corresponding to the implanted ear. Intra-cochlear surfaces of at least one first structure of interest (SOI) of the normal contralateral ear in the first image are segmented using at least one active shape model (ASM). Next, the segmented intra-cochlear surfaces in the first image is projected to the second image using a transformation function, thereby obtaining projected segmented intra-cochlear surfaces for the implanted ear in the second image.

Abstract: A method for automatic segmentation of intra-cochlear anatomy of a patient. The patient has an implanted ear and a normal contralateral ear. At least one computed tomography (CT) image is obtained to generate a first image corresponding to the normal contralateral ear and a second image corresponding to the implanted ear. Intra-cochlear surfaces of at least one first structure of interest (SOI) of the normal contralateral ear in the first image are segmented using at least one active shape model (ASM). Next, the segmented intra-cochlear surfaces in the first image is projected to the second image using a transformation function, thereby obtaining projected segmented intra-cochlear surfaces for the implanted ear in the second image.

Abstract: A method for programming a deep brain stimulator implanted in a target region of a brain of a living subject for optimal stimulation, wherein the deep brain stimulator comprises at least one electrode having a plurality of electrode contacts spaced apart from each other, and any portion of the brain of the living subject is identifiable by a set of corresponding spatial coordinates.

Abstract: A cortical surface registration procedure related to a diagnostic or surgical procedure. In one embodiment, the procedure includes the steps of pre-operatively obtaining a first textured point cloud of the cortical surface of a targeted region of a brain of a living subject, intra-operatively obtaining optically a second textured point cloud of the cortical surface of the brain of the living subject, and aligning the first textured point cloud of the cortical surface to the second textured point cloud of the cortical surface so as to register images of the brain of the living subject to the cortical surface of the living subject.

Abstract: A method for segmentation of an organ of a living subject with a variable shape and boundary and surrounded by structures and tissues in connection with an image containing the organ. In one embodiment, the method includes the steps of initializing a contour inside the organ in the image, introducing a speed function that is capable of accumulating spatial and temporal information of a propagating front of the contour, and evolving the contour toward the boundary of the organ using the introduced speed function so as to segment the organ.

Abstract: A method for classifying microelectrode recording signals. In one embodiment, the method includes the steps of performing wavelet transforms on each of the microelectrode recording signals to compute corresponding wavelet coefficients, respectively, extracting features from the computed wavelet coefficients for each of the microelectrode recording signals, respectively, and classifying the extracted features so as to classify the microelectrode recording signals.

Abstract: A cortical surface registration procedure related to a diagnostic or surgical procedure. In one embodiment, the procedure includes the steps of pre-operatively obtaining a first textured point cloud of the cortical surface of a targeted region of a brain of a living subject, intra-operatively obtaining optically a second textured point cloud of the cortical surface of the brain of the living subject, and aligning the first textured point cloud of the cortical surface to the second textured point cloud of the cortical surface so as to register images of the brain of the living subject to the cortical surface of the living subject.

Abstract: A method of creating an atlas that contains electrophysiological information related to at least one of a plurality of living subjects. In one embodiment, the method includes the steps of choosing a brain image volume as a common image volume of reference, acquiring electrophysiological information for a target of interest, relating the acquired electrophysiological information to spatial coordinates in the brain image volume of the target of interest, and registering the brain image volume of the target of interest to the common image volume of reference so as to create an atlas in which any spatial coordinates of the brain of the target of interest are related to atlas coordinates in the atlas such that the acquired electrophysiological information associated with the related spatial coordinates in the brain image volume of the target of interest can be related to atlas coordinates in the atlas, and vice versa.

Abstract: A method of optimal placement of a deep brain stimulator in a targeted region of a brain of a living subject for optimal deep brain stimulation. In one embodiment, the method includes the steps of nonmanually selecting an initial optimal position from, refining the nonmanually selected initial optimal position to determine a final position, and placing the deep brain stimulator at the final position in the targeted region of the brain of the living subject.