Abstract: Certain exemplary embodiments can comprise a method, which can comprise, automatically determining a target object from an image via an application of an iterative minimization algorithm to an energy function. Each iteration of the iterative minimization algorithm can comprise a comparison of a model with an estimated contour of the target object.

Abstract: A method for specifying design rules for a manufacturing process includes providing a training set of 3D point meshes that represent an anatomical structure, for each 3D point mesh, finding groupings of points that define clusters for each shape class of the anatomical structure, calculating a prototype for each shape class cluster, and associating one or more manufacturing design rules with each shape class prototype. The method includes providing a new 3D point mesh that represents an anatomical structure, calculating a correspondence function that maps the new 3D point mesh to a candidate shape class prototype by minimizing a cost function, calculating a transformation that aligns points in the new 3D point mesh with points in the candidate shape class prototype, and using the rules associated with the shape class prototype, if the candidate shape class prototype is successfully aligned with the new 3D point mesh.

Abstract: Certain exemplary embodiments comprise a method, which can comprise determining an image of a predetermined physiological structure of a patient. The image can be determined based upon a first set of image data of the predetermined physiological structure of the patient. The image can be based upon a second set of image data of the predetermined physiological structure of the patient. The image can be determined based upon an iteratively adjusted movement of the patient.

Abstract: A method of preventing arcing during bevel edge etching a semiconductor substrate with a plasma in a bevel etcher in which the semiconductor substrate is supported on a semiconductor substrate support comprises bevel edge etching the semiconductor substrate with the plasma in the bevel etcher while evacuating the bevel etcher to a pressure of 3 to 100 Torr while maintaining RF voltage seen at the wafer at a low enough value to avoid arcing.

Abstract: For resonance image data of an imaged subject, a method that first detects and estimates the dominant motions of k-space data (i.e., the motion vectors) and then constructs a graphical model for each estimated motion vector. The segments of the k-space that are determined to be corrupted by motion are restored by minimizing the energy associated with the corresponding graphical model. Consequently, the MR image of the imaged subject becomes free of motion artifacts.

Abstract: A method for segmenting a digitized ultrasound image includes providing a digitized in-phase/quadrature ultrasound image comprising a plurality of intensities defined on an N-dimensional grid, decorrelating the ultrasound image wherein spatial correlations are substantially reduced in the intensity data, modeling the decorrelated image intensities with a statistical distribution, propagating, an active contour in the image where the contour segments the image, where the contour is propagated based on the statistical distributions of intensity data inside and outside the active contour.

Abstract: A method of tracking a guidewire in video imagery includes: obtaining a first video image including pixels associated with features of a guidewire; selecting a set of parameters to define an open curve on the first video image; determining a feature map of the first video image using phase congruency; and updating the parameters of the open curve using the feature map to align the open curve to the pixels associated with the features of the guidewire.

Abstract: A method for detecting anatomical features in 3D ear impressions includes receiving a 3D digital image of a 3D ear impression, obtaining a surface of the ear impression from the 3D image, analyzing the surface with one or more feature detectors, the detectors adapted to detecting generic features, including peak features, concavity features, elbow features, ridge features, and bump features, and derived features that depend on generic features or other derived features, and forming a canonical ear signature from results of the detectors, where the canonical ear signature characterizes the 3D ear impression.

Abstract: A method for determining a degree of similarity between ear canal models includes receiving a first mesh model representing an inner surface of a first ear. A set of points is sampled within the first mesh model. Each of the sampled set of points is matched to a corresponding point of a second mesh model representing an inner surface of a second ear. A shape distance between the first mesh model and the second mesh model is calculated based on the matched sets of points. A determination of the degree of similarity between the inner surface of the first ear and the inner surface of the second ear is provided based on the calculated shape distance.

Abstract: A method for designing a prosthetic device includes acquiring a three-dimensional image of an anatomical surface. A rules script for automatically performing a plurality of image processing rules using a script interpreter is executed. For each particular rule of the plurality of rules, one or more anatomical features that are relevant to the particular rule using a surface shaping engine are determined, the one or more determined anatomical features are automatically segmented from the acquired three-dimensional image using a feature detector, and the particular image processing rule is performed on the acquired three-dimensional image based on the automatically segmented anatomical features using a CAD tool. A prosthetic device design is produced based on the three-dimensional image upon which the rules of the plurality of image processing rules have been performed.

Abstract: A method for temporally filtering medical images during a fluoroscopy guided intervention procedure includes providing a mask image, a fluoroscopy intervention image acquired at a current time during a medical intervention procedure, forming a subtraction image by subtracting the mask image from the intervention image, calculating a motion image of a moving structure in the subtraction image, forming a residual image by subtracting the motion image from the subtraction image, temporally filtering the residual image with a filtered image from a previous time, and adding the motion image to the temporally filtered residual image.

Abstract: A method for multiple image restoration includes receiving a plurality of images corrupted by noise, and initializing a reduced noise estimate of the plurality of images. The method further includes estimating a probability of distributions of noise around each pixel and the probability of the signal, estimating mutual information between noise on the plurality of images based on the probabilities of distributions of noise around each pixel and the joint distribution of noise, and updating each pixel within a search range to determine a restored image by reducing the mutual information between the noise on the plurality of images.

Abstract: A system and appertaining algorithm provide a cutting and shaping of the hearing aid shell using an Ellipsoidal Line Cut that increases the speed of detailing operations and enables a creation of more cosmetically appealing shells. A contour algorithm determines a projected contour on the bottom cut plane that corresponds in shape to a portion of the line cut plane contour, and a merger algorithm defines a line cut surface between the portion of the line cut plane contour and the projected contour. An elimination algorithm eliminates parts of the new hearing aid shell design that extend beyond boundaries defined by the original hearing aid shell design.

Abstract: Disclosed is a method and system for constructing, from a computerized tomography (CT) scan, an image relating to a physical structure. Projection data associated with the image is obtained and divided into a plurality of subsets. Filtered back projection (FBP) is then applied to each subset in the plurality of subsets. The image is constructed based on the application of the FBP to each subset in the plurality of subsets.

Abstract: A method of computing a continuous interpolation of a discrete set of three-dimensional (3D) balls, including generating an initial skin, wherein the initial skin is a surface comprised of splines and wherein the splines touch each ball along a circle that is tangent to the ball, solving a first differential equation to minimize the initial skin's surface area or solving a second differential equation to minimize a squared mean curvature of the initial skin's surface, wherein the result of solving the first or second differential equations is an updated skin; and repeating the steps of solving the first or second differential equations for the updated skin, and then, repeating the steps of solving the first or second differential equations for each subsequently updated skin until a desired skin is realized.

Abstract: A method and apparatus for rounding a sharp edge of a model of an object is disclosed whereby a ball is propagated in a desired direction along the edge to be smoothed. The position of the ball at each point in its propagation is noted and, as a result, a virtual tunnel through which the ball passed may be constructed. Points on the sides of the surface of the object in proximity to the sharp edge are then projected onto the virtual tunnel by connecting with a line each point in proximity to the sharp edge to the center of the tunnel. New projected points are created at each position on the surface of the tunnel where the lines intersect that surface. The original points along the sharp edge are then hidden or deleted and the points along the virtual tunnel are connected via well-known surface reconstruction methods. In this way, a sharp edge of a triangle mesh model are advantageously smoothed.

Abstract: The various embodiments provide apparatus and methods of removal of unwanted deposits near the bevel edge of substrates to improve process yield. The embodiments provide apparatus and methods with center and edge gas feeds as additional process knobs for selecting a most suitable bevel edge etching processes to push the edge exclusion zone further outward towards the edge of substrates. Further the embodiments provide apparatus and methods with tuning gas(es) to change the etching profile at the bevel edge and using a combination of center and edge gas feeds to flow process and tuning gases into the chamber. Both the usage of tuning gas and location of gas feed(s) affect the etching characteristics at bevel edge. Total gas flow, gap distance between the gas delivery plate and substrate surface, pressure, and types of process gas(es) are also found to affect bevel edge etching profiles.

Abstract: A method of bevel edge etching a semiconductor substrate having exposed copper surfaces with a fluorine-containing plasma in a bevel etcher in which the semiconductor substrate is supported on a semiconductor substrate support comprises bevel edge etching the semiconductor substrate with the fluorine-containing plasma in the bevel etcher; evacuating the bevel etcher after the bevel edge etching is completed; flowing defluorinating gas into the bevel etcher; energizing the defluorinating gas into a defluorination plasma at a periphery of the semiconductor substrate; and processing the semiconductor substrate with the defluorination plasma under conditions to prevent discoloration of the exposed copper surfaces of the semiconductor substrate upon exposure, the discoloration occurring upon prolonged exposure to air.

Abstract: A method and system for detecting the second bend plane of an ear canal surface is disclosed. A region of interest of the ear canal is defined between the first bend plane and the ear canal tip. A set of curves is defined in the region of interest and a set of high curvature points is detected from the set of curves. The second bend plane is detected using the set of high curvature points.

Abstract: A method and system for image quality assessment is disclosed. The image quality assessment method is a no-reference method for objectively assessing the quality of medical images. This method is guided by the human vision model in order to accurately reflect human perception. A region of interest (ROI) of medical image is divided into non-overlapping blocks of equal size. Each of the blocks is categorized as a smooth block, a texture block, or an edge block. A perceptual sharpness measure, which is weighted by local contrast, is calculated for each of the edge blocks. A perceptual noise level measure, which is weighted by background luminance, is calculated for each of the smooth blocks. A sharpness quality index is determined based on the perceptual sharpness measures of all of the edge blocks, and a noise level quality index is determined based on the perceptual noise level measures of all of the smooth blocks.