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: 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 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.

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 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 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 technique is provided for imaging based on localization of fluorescence in a medium. The technique includes illuminating the medium with an excitation light to excite fluorescence, scanning the medium at a plurality of locations via an ultrasonic beam, modulating a portion of the emitted light from the fluorescence via the ultrasonic beam at each of the plurality of locations, differentially detecting the modulated light at a boundary of the medium, and reconstructing an image from the detected signal.

Abstract: Methods and systems and computer program products for automatically segmenting the volume of interest from intensity images are provided. The method for segmenting a volume of interest in an intensity image receives the intensity image and the scanner acquisition parameters used to acquire the intensity image. The method then scales the contrast of the intensity image based, at least in part, on the scanner acquisition parameters. The method segments the intensity image based, at least in part, on image data of the intensity image and the scanner acquisition parameters, to obtain the volume of interest.

Abstract: A method and system for fluorescence imaging of a target in a subject comprising a scattering medium is provided. The method comprises illuminating one or more points on a surface of the scattering medium using an illumination source, wherein the plurality of points define an illumination region, collecting emitted light from an illumination region and an area away from the illumination region, and generating an image of the scattering medium using the emitted light.

Abstract: A method and system for fluorescence imaging of a target in a subject comprising a scattering medium is provided. The method comprises illuminating one or more points on a surface of the scattering medium using an illumination source, wherein the plurality of points define an illumination region, collecting emitted light from an illumination region and an area away from the illumination region, and generating an image of the scattering medium using the emitted light.