Abstract:
Embodiments for aligning a volume to a standard alignment are provided. One example method of aligning a volume constructed from captured image data to a standard orientation includes determining an orientation and a scale of the volume based on a comparison of a volume model representing the volume to captured image data of the volume over time and adjusting the volume according to the determined orientation and scale.
Abstract:
A method for automatically monitoring fetal head descent in a birth canal is presented. The method includes segmenting each image in one or more images into a plurality of neighborhood components, determining a cost function corresponding to each neighborhood component in the plurality of neighborhood components in each of the one or more images, identifying at least two structures of interest in each image in the one or more images based on the cost function, wherein the at least two structures of interest include a pubic ramus and a fetal head, measuring an angle of progression based on the at least two structures of interest, and determining the fetal head descent in the birth canal based on the angle of progression.
Abstract:
Embodiments for aligning a volume to a standard alignment are provided. One example method of aligning a volume constructed from captured image data to a standard orientation includes determining an orientation and a scale of the volume based on a comparison of a volume model representing the volume to captured image data of the volume over time and adjusting the volume according to the determined orientation and scale.
Abstract:
A method for automatically monitoring fetal head descent in a birth canal is presented. The method includes segmenting each image in one or more images into a plurality of neighborhood components, determining a cost function corresponding to each neighborhood component in the plurality of neighborhood components in each of the one or more images, identifying at least two structures of interest in each image in the one or more images based on the cost function, wherein the at least two structures of interest include a pubic ramus and a fetal head, measuring an angle of progression based on the at least two structures of interest, and determining the fetal head descent in the birth canal based on the angle of progression.
Abstract:
A system and method for imaging a subject are disclosed. A plurality of edge points corresponding to a set of candidate structures are determined in each image frame in a plurality of 3D image frames corresponding to a volume in the subject. A target structure is detected from the set of candidate structures by applying constrained shape fitting to the edge points in each image frame. A subgroup of image frames including the target structure is identified from the 3D frames. A subset of edge points corresponding to the target structure is determined in each of the subgroup of image frames. A plurality of 2D scan planes corresponding to the subset of edge points is determined, and ranked using a determined ranking function to identify a desired scan plane. A diagnostic parameter corresponding to the target structure is measured using a selected image frame that includes the desired scan plane.