Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Disclosed is a computer-implemented method of overlaying a representation of a medical instrument over a two-dimensional medical image. It finds at least one feature point along a detection line which is defined relative to the medical instrument in the medical image, calculates a geometrical quantity based on this feature point and adds the geometrical quantity to the two-dimensional medical image.

Disclosed in the present invention are a method and an apparatus for identification of imaging quality of fetal ultrasound images, the method including: acquiring parameters of fetal ultrasound images, used for identification of imaging quality of fetal ultrasound images; identifying an imaging score of fetal ultrasound images based on the parameters thereof; and identifying the imaging quality thereof based on the imaging score thereof. Obviously, it may lead to a quick and accurate identification of the imaging quality of fetal ultrasound images by automatically identifying the imaging quality thereof based on the imaging score thereof, thereby realizing quick and accurate management of the imaging quality thereof so as to facilitate to acquire fetal ultrasound images with high quality, which facilitates the acquisition of accurate fetal growth and development and may have an acknowledgment of the operational standardization of the personnel during the detection of fetal ultrasound images.

Image analysis method for quantitative assessment of a degree of coordination of uterine motion, comprising: obtaining a recording of a uterus; tracking, in the recording, at least two propagation waves of uterine motion in at least two different regions of the uterus and/or on at least two different times; and determining the degree of coordination of the uterine motion based on a similarity measure of at least two characteristics of the at least two propagation waves.

A system includes a processor circuit configured for communication with an external imaging device. The processor circuit receives, from the external imaging device, an image comprising a blood vessel within a patient. The processor circuit determines, using the image, a first location of the blood vessel with a restriction in blood flow caused by compression of the blood vessel by an anatomical structure within the patient and different than the blood vessel. The processor circuit generates a first graphical representation associated with the restriction. The processor circuit outputs, to a display in communication with the processor circuit, a screen display. The screen display includes the image and the first graphical representation at the first location of the blood vessel in the image.

The present invention is in the field of methods for determining material properties from foam samples. It relates to a computer-implemented method for determining a material property of a foam sample comprising (a) providing a representation of the sample, (b) extracting at least one structural feature from the representation, wherein the at least one structural feature comprises walls, struts, or nodes (c) providing the at least one structural feature to a material model suitable for obtaining at least one material property from the structural feature, and (d) outputting the at least one material property received from the material model.

Systems and methods are disclosed for remotely controlling a main processing console of an ultrasound system. In various embodiments, an ultrasound remote controller can be used to remotely control a main processing console of an ultrasound system. The ultrasound remote controller can include a user interface controller configured to provide one or more ultrasound control functions to a user remote from the main processing console. The control functions can be used to remotely control operation of the main console. Further, the user interface controller can be configured to receive input for the one or more ultrasound control functions from the user. The ultrasound remote controller can include a communication interface configured to transmit operational instructions to the main processing console for remotely controlling the operation of the main processing console through the ultrasound remote controller based on the user input for the one or more ultrasound control functions.

The disclosure describes imaging and therapy techniques comprising nanodroplets. More particularly, aspects of the disclosure relate to the use of nanodroplets to modify nanobubbles or microbubbles to provide improved imaging and/or therapeutic techniques and compositions.

Systems and methods for multi-level vascular imaging for construction and display of vasculature from large to small vessels and micro-vessels using a combination of varying resolution contrast enhanced ultrasound flow imaging modalities are disclosed. While one or more resolution flow imaging modes may be employed for imaging large to small vessels of a vascular tree within a large region of interest, a high resolution mode, such as super resolution imaging, constructed for delineation of the microvascular morphology and directional microcirculation is provided within one or more small ROIs placed in selected locations within the larger ROI.

A method and device for processing ultrasonic data from an industrial inspection device. Ultrasonic reflections from a high-resolution phased array are sampled at high-frequency to create a large volume of data. The data are converted to I/Q data and compressed to a manageable size. An external computer can beamform and render an image without restoring the compressed data to raw form. This method may be used for in-line inspection, downhole inspection, or ultrasonic testing.