Abstract:
An ultrasound imaging apparatus (200, 600) may include at least one controller (210, 610) which may be configured to: acquire ultrasound data of an anatomical region-of-interest (ROI), the ultrasound data including at least two frames acquired at different times over an interval of time as a push force is applied to induce movement in the anatomical ROI; determine a correlation between at least two of the acquired frames and form corresponding correlation coefficients; generate a correlation coefficient (CC) map based upon the determined correlation information between the at least two frames; and distinguish fluid from tissue within the CC map based upon a comparison of the correlation coefficients with at least one threshold value.
Abstract:
The embodiments disclose an ultrasound system comprising: a probe configured to obtain ultrasound data relating to scanning region including at least part of a pleural interface of a lung; and a data analyzer, configured to automatically detect information for determining lung sliding and/or lung point using one or more cross correlation maps derived from the data. The embodiments also disclose a method thereof.
Abstract:
An embodiment of this invention provides an ultrasound device and a method of assessing a bone of a subject. The ultrasound device assesses a bone of a subject in at least two modes comprising a first mode and a second mode. The ultrasound device comprises: a selecting unit configured to select a mode from the at least two modes; a first ultrasound probe configured to transmit an ultrasound signal to the bone; a second ultrasound probe configured to receive the ultrasound signal from the bone; an assessing unit configured to derive a first parameter indicating one or more characteristics of the bone based on the selected mode and the ultrasound signal received by the second ultrasound probe; and a coupler for coupling the first ultrasound probe and the second ultrasound probe, the coupler being configured to be switched to a first configuration in the first mode and to a second configuration in the second mode. A face of the first ultrasound probe and a face of the second ultrasound probe are oriented in substantially a same direction in the first configuration, and in substantially an opposite direction in the second configuration. An embodiment of this invention improves the flexibility of usage of the ultrasound assessment device.
Abstract:
The present disclosure describes ultrasound imaging systems and methods configured to identify lung abnormalities by determining a uniformity characteristic of a region of interest within ultrasound image frames. Systems can include an ultrasound transducer configured to acquire echoes responsive to ultrasound pulses transmitted toward a pulmonary target region. A processor coupled with the transducer may be configured to generate an image frame from the acquired echoes and determine a uniformity characteristic of the region of interest below a pleural line in the image frame. The processor may also be configured to determine a presence or absence of a lung abnormality, e.g., lung consolidation, within the region of interest based on a value of the uniformity characteristic. If a lung abnormality has been determined to be present, the processor can generate an indicator of the same, which may be displayed on a user interface in communication with the processor.
Abstract:
Extracorporeal motion (130) relative to a medical subject being imaged is detected, through the imaging or from motion detectors on the imaging probe, and either backed out of the medical images so that it can be determined whether lung sliding exists or measured to determine whether lung sliding detection is to be suspended due to excessive extracorporeal motion. Image sub-regions (164, 168) corresponding to respective ones of the images are selected for image-to-image comparison such that the selected sub-regions contain only body tissue that is, with respect to imaging depth in the acquiring of the images, shallower than an anatomical landmark within the images. Based on a result of the comparing, lung sliding detection that entails examining image data deeper than the landmark may be initialized. A motion sensor may detect the extracorporeal motion and, based on its output: pair-wise co-register (170) images to an extent of backing out the effect of the extracorporeal motion and/or determine whether to suspend deciding as to whether lung sliding is, during the respiration, occurring in the subject.
Abstract:
Ultrasound-based acoustic streaming for deciding whether material is fluid is dependent upon any one or more of a variety of criteria. Examples are displacement, speed, temporal or spatial flow variance, progressive decorrelation, slope or straightness of accumulated signal to background comparisons over time, and relative displacement to adjacent soft tissue. Echogenicity-based area identification is combinable with the above movement characteristic detection in the deciding. Fluid pool identification is performable from the area-limited acoustic streaming testing and ultrasound attenuation readings. Candidates from among the areas are screenable based on specific shapes or bodily organs detected. Natural flow can be excluded from streaming detection by identification of blood vessels. Processing for each FAST ultrasound view, or for the entire procedure, is performable automatically, without need for user intervention or with user intervention to identify suspected areas.
Abstract:
Extracorporeal motion (130) relative to a medical subject being imaged is detected, through the imaging or from motion detectors on the imaging probe, and either backed out of the medical images so that it can be determined whether lung sliding exists or measured to determine whether lung sliding detection is to be suspended due to excessive extracorporeal motion. Image sub-regions (164, 168) corresponding to respective ones of the images are selected for image-to-image comparison such that the selected sub-regions contain only body tissue that is, with respect to imaging depth in the acquiring of the images, shallower than an anatomical landmark within the images. Based on a result of the comparing, lung sliding detection that entails examining image data deeper than the landmark may be initialized. A motion sensor may detect the extracorporeal motion and, based on its output: pair-wise co-register (170) images to an extent of backing out the effect of the extracorporeal motion and/or determine whether to suspend deciding as to whether lung sliding is, during the respiration, occurring in the subject.
Abstract:
Ultrasound image devices, systems, and methods are provided. In one embodiment, an ultrasound imaging system includes an interface coupled to an ultrasound imaging component and configured to receive a plurality of image data frames representative of a subject's body including at least a portion of a lung; a processing component in communication with the interface and configured to determine a metric for each image data frame of the plurality of image data frames based on a threshold comparison; and determine a dynamic air bronchogram (AB) condition of the subject's body based on a variation across the metrics of the plurality of image data frames. In one embodiment, the processing component is configured to determine differential data frames based on differences across consecutive image data frames of the plurality of image data frames; and determine a dynamic AB condition of the subject's body based on the differential data frames.
Abstract:
A system, method and a tangible, non-transitory computer readable medium adapted to be executed by a processor for providing contrast enhanced ultrasound (CEUS) images is described. The CEUS system includes an ultrasound probe adapted to provide the ultrasound images; a processor; a tangible, non-transitory computer-readable medium that stores instructions, which when executed by the processor causes the processor to: determine out-of-plane frames of the ultrasound images; remove the out-of-plane frames from the ultrasound images based on a criterion to provide an optimized set of frames; and a display in communication with the processor and configured to display the optimized set of frames.
Abstract:
The invention relates to a method of calculating a displacement of an object of interest comprising a step of calculating (101) a displacement model of said object of interest from adjacent images of a set of pre-acquired images of said object of interest, said displacement model reflects the position of said object of interest along the time. The method is characterized in that the method further comprises the following. A step of determining (102) a first sub-set of images (S1) from said set of pre acquired images within one periodical time cycle of said set of pre-acquired images on the basis of the displacement model. A first step of identifying (103) a second sub-set of images (S2) from newly-acquired images, wherein images in said second sub-set of images (S2) are consecutive and have the same most similar image in said first sub-set of images (S1), wherein a first set of similarity levels is determined by comparing a given image in said newly acquired images with each image of said first sub-set of images (S1), and wherein said most similar image has the largest similarity level in said first set of similarity levels. A first step of selecting (104) a given image in said second sub-set of images (S2) as a first reference image (I1). A second step of identifying (105) a third sub-set of images (S3) from said newly-acquired images, wherein images in said third sub-set of images (S3) are consecutive and have the same most similar image in said first sub-set of images (S1), wherein a set of similarity levels is determined by comparing a given image in said newly acquired images with each image of said first sub-set of images (S1), and wherein said most similar image has the largest similarity level in said set of similarity levels. A second step of selecting (106) a given image in said third sub-set of images (S3) as a second reference image (I2). A step of calculating (107) the displacement between said second reference image (I2) and said first reference image (I1). The invention also relates to a corresponding system of displacement calculation.