Koninklijke Philips Corporation N.V.

Shiwei Zhou

Jingping Xu

Shougang Wang

Balasundar Iyyavu Raju

John Petruzzello

Hua Xie

Vijay Thakur Shamdasani

Ajay Anand

Rajendra Singh Sisodia

Ramon Quido Erkamp

Shriram Sethuraman

Nagaraju Bussa

Krishnamoorthy Palanisamy

Vikram Basawaraj Patil Okaly

Sheng-Wen Huang

Shankar Mosur Venkatesan

Jean-luc Robert

Anthony M Gades

Sushanth Govinahallisathyanarayana

Theodore James Letavic

Mckee Dunn Poland

John Douglas Fraser

Vijay Parthasarathy

Emil George Radulescu

Pallavi Vajinepalli

Celine Firtion

Jean-Luc Robert

Lalit Gupta

Ying Wu

Benoit Dufort

Ganesan Ramachandran

Balasudar Iyyavu Raju

Sushanth Govinahalli Sathyanarayana

Yin Hui Deng

The embodiments disclose an ultrasound system comprising: a probe configured to obtain ultrasound data relating to a 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.

Device and method for automatic pneumothorax detection

A method for aligning spatially different subvolumes of ultrasonic data of a blood vessel comprising: acquiring temporally discrete signals of a blood vessel with elements of a two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a first position with respect to the blood vessel during the acquiring; Doppler processing the temporally discrete signals received from each transducer element to produce spectral Doppler data of the scanning depth opposed by each transducer element; producing a first three dimensional map of the spectral Doppler data in spatial relationship to the position of the array with respect to the blood vessel; acquiring temporally discrete signals of the blood vessel with elements of the two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a second position with respect to the blood vessel during the acquiring; Doppler processing the temporally discrete signals received from each transducer element to produce spectral Doppler data of the scanning depth opposed by each transducer element; producing a second three dimensional map of the spectral Doppler data in spatial relationship to the position of the array with respect to the blood vessel; aligning the first three dimensional map with the second three dimensional map on the basis of one or more regions of matching spectral Doppler data of the two map; and producing a combined three dimension map of the blood flow of the vessel from the aligned first and second three dimensional maps.

Method for aligning spatially different subvolumes of ultrasonic data of a blood vessel

An ultrasound exposure safety processor is configured for spatially relating respective definitions of an imaging zone, and an extended dead-tissue zone that includes both a dead-tissue zone and a surrounding margin. Based on whether a push pulse focus is to be within the extended dead-tissue zone, the processor automatically decides a level of acoustic power with which the pulse is to be produced. If the pulse focus is to be within the extended dead-tissue zone, the pulse may be produced with a mechanical index (MI), a thermal index (TI), and/or a spatial-peak-temporal-average intensity (IspTA) that exceeds respectively 1.9, 6.0 and 720 milliwatts per square centimeter. The imaging zone may be definable interactively to dynamically trigger the deciding and the producing, with push pulse settings being dynamically derived automatically. A display of multiple push pulse sites allows user manipulation of spatial definition indicia to dynamically control displacement tracking.

Ultrasound shear wave elastography featuring therapy monitoring

The present invention proposes an ultrasound system and a method of detecting lung sliding on the basis of a temporal sequence of ultrasound data frames of a first region of interest. The first region of interest includes a pleural interface of a lung. A sub-region identifier () is configured to identify, for each of the ultrasound data frames, a sub-region of a scanned region of the ultrasound data frame, the sub-region comprising at least part of the pleural interface; a lung sliding detector () is configured to derive a parametric map for the sub-region on the basis of at least two ultrasound data frames of the temporal sequence, parametric values of the parametric map indicating a degree of tissue motion over the at least two ultrasound frames; wherein the lung sliding detector is further configured to extract data of the sub-regions from the at least two ultrasound data frames, and to derive the parametric map on the basis of the extracted data.

Ultrasound system and method for detecting lung sliding

Extracorporeal motion () 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 () 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 () 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.

Distinguishing lung sliding from external motion

A non-imaging diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe () with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

System for automated screening of carotid stenosis

An ultrasound imaging apparatus () may include at least one controller () 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.

Automated blood pool identification system and method of operation thereof

A diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

Doppler ultrasound system for diagnosing carotid stenosis

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.

Acoustic streaming for fluid pool detection and identification

The present invention proposes an ultrasound imaging system and method for measuring a property of a region of interest in a subject by using shear wave, wherein an ultrasound probe is configured to sequentially transmit, to each of a plurality of focal spots () in the region of interest, a push pulse () for generating a shear wave (), each of the plurality of focal spots having a mutually different depth value (z, z, z), and to receive ultrasound echo signals adjacent () to each of the plurality of focal spots; a shear wave detector is configured to derive, for each of the plurality of focal spots, a first parameter indicating a property of the generated shear wave, based on the received ultrasound echo signals; and a property estimator is configured to estimate a second parameter indicating the property of the region of interest as a function of the derived first parameters.

Ultrasound system and method for measurement using shear wave

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.

Ultrasound motion-estimation includes issuing multiple ultrasound pulses, spaced apart from each other in a propagation direction of a shear wave, to track axial motion caused by the wave. The wave has been induced by an axially-directed push. Based on the motion, autocorrelation is used to estimate an axial displacement. The estimate is used as a starting point () in a time-domain based motion tracking algorithm for modifying the estimate so as to yield a modified displacement. The modification can constitute an improvement upon the estimate. The issuing may correspondingly occur from a number of acoustic windows, multiple ultrasound imaging probes imaging respectively via the windows. The autocorrelation, and algorithm, operate specifically on the imaging acquired via the pulses used in tracking the motion caused by the wave that was induced by the push, the push being a single push. The algorithm may involve cross-correlation over a search area incrementally increased subject to an image matching criterion (S).

Autocorrelation guided cross-correlation in ultrasound shear wave elastography

The present invention relates to an ultrasound elastography system () for providing an elastography measurement result of an anatomical site () a corresponding method. The system () is configured to visualize a suitability for shear wave elastography of the region of interest () to the user within the ultrasound image () and/or to recommend an elastography acquisition plane () for conducting shear wave elastography to the user. By this, proper selection of a location for an elastography measurement may be supported.

Elastography measurement system and method

Existing gas pocket detection approaches are based on visual observations of B-mode ultrasound images showing comparisons between normal soft tissue and gas pockets, which are time-consuming and dependent on operator experience. The present invention proposes an ultrasound system and a method of detecting a gas pocket. The ultrasound system comprises: an ultrasound probe () for transmitting an ultrasound signal toward the ROI and acquiring an ultrasound echo signal reflected from the ROI along a plurality of scanning lines; an obtaining unit () for obtaining a second harmonic component of the ultrasound echo signal for each depth of a plurality of depths along each scanning line of the plurality of scanning lines; and a deriving unit () for deriving a change in a center frequency of the second harmonic component along with the depth.

Method and apparatus for detecting a gas pocket using ultrasound

A device images time-wise in parallel using transducer elements of a group. The elements are of a current group and imaging is time-wise sequential by group. The groups may be spatially disposed with respect to each other so as to mutually intermesh element-wise. The imaging may include volumetric imaging. The device may be configured for not collectively using any of the elements to focus, nor to steer, a beam used in the imaging. The device may further be operable to transition between spacing states at least one of which is characterized by a respective minimum, nonzero, degree of intra-group, element-to-element non-adjacency, or may be fixed at a selected spacing state. The transitioning may be automatic, in response to input indicative of blood vessel size and/or depth.

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Yorktown Heights, NY, United States of America

Shiwei Zhou