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公开(公告)号:US20220008044A1
公开(公告)日:2022-01-13
申请号:US17371717
申请日:2021-07-09
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI
Abstract: A method for estimating an ultrasonic attenuation parameter of a region in a medium includes a transmission step in which at least one pulse is transmitted in the medium by a transducer, and a reception step in which data is acquired by a transducer in response to the pulse. The method includes a processing step in which the data is processed by the processing unit for providing backscattered acquisition data of the region, and a function determination step in which an auto-correlation function of the backscattered acquisition data is determined which is a function of depth in the spatio-temporal domain, the autocorrelation function being determined at a lag of zero. The method includes an attenuation estimation step in which an ultrasonic attenuation parameter is estimated based on said auto-correlation function. The method is implemented by a processing unit associated to at least one ultrasound transducer.
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2.
公开(公告)号:US20240037746A1
公开(公告)日:2024-02-01
申请号:US18333921
申请日:2023-06-13
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI , Bo ZHANG
IPC: G06T7/00
CPC classification number: G06T7/0014 , G06T2207/10136 , G06T2207/30068 , G06T2207/30096
Abstract: The disclosure relates to a method of linking ultrasound image data associated with a medium with other image data associated with the medium. The method comprises: estimating deformability properties of the medium based on the ultrasound data and linking the ultrasound image data with the other image data based on the deformability properties.
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公开(公告)号:US20240264296A1
公开(公告)日:2024-08-08
申请号:US18624596
申请日:2024-04-02
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI , William LAMBERT
CPC classification number: G01S7/52077 , G01S15/8918 , A61B8/5269
Abstract: Examples relate to a method for processing beamformed data of a medium. The beamformed data includes a first set of beamformed data associated with a first spatial region and a second set of beamformed data associated with a second spatial region, and the method includes estimating the clutter caused by the second spatial region at the first set.
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公开(公告)号:US20230101818A1
公开(公告)日:2023-03-30
申请号:US17950373
申请日:2022-09-22
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI
IPC: G01S15/89
Abstract: The invention relates to a method for processing a set of signals of a transducer device comprising a respective set of transducer elements, the method comprising the following steps: a processing step in which the received set of signals is processed to a plurality of synthetic waves, and an output step in which the plurality of synthetic waves is outputted through a plurality of channels.
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公开(公告)号:US20230098305A1
公开(公告)日:2023-03-30
申请号:US17910144
申请日:2021-03-24
Applicant: HOLOGIC, INC. , SUPERSONIC IMAGINE
Inventor: Shawn ST. PIERRE , Christophe FRASCHINI
Abstract: Systems and methods for mapping a region of interest within breast tissue utilize multiple layers of information to produce a unique digital fingerprint of breast tissue. X-ray and ultrasound imaging is combined with elastography and Doppler to create an architectural map of a breast including coordinates to mark one or more regions of interest. The architectural map can be utilized during future imaging procedures and surgeries to automatically and virtually indicate the location of previously biopsied lesions. The architectural map can be displayed on a user interface of a computing device to guide a user to the region of interest during imaging.
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6.
公开(公告)号:US20220163646A1
公开(公告)日:2022-05-26
申请号:US17474650
申请日:2021-09-14
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI , Bo ZHANG
Abstract: A method for compensating a depth-dependent attenuation in ultrasonic signal data of a medium and a system for performing the method. The method is implemented by a processing system (8), the method comprising the following: processing (c), in which ultrasound signal data is processed by the processing unit for providing in-phase and quadrature phase (IQ) data of the medium, and attenuation compensation (f), in which a phase of the IQ data is compensated as a function of a respective frequency shift amount for each of a plurality of different depths (z1, z2, zn) in the medium, such that the IQ data spectrum is recentered across the plurality of different depths.
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7.
公开(公告)号:US20200256988A1
公开(公告)日:2020-08-13
申请号:US15780914
申请日:2015-12-01
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI
Abstract: Disclosed is an imaging method for producing an image of a region inside a medium by an array of transducers, including the a transmission step of a plurality of waves inside the medium, a reception step for acquiring a set of data, a beamforming step providing a plurality beamformed pixel values depending on various transmit weighting vectors, and a combining step for combining the beamformed pixel values into a pixel value of each pixel in the image. The transmit weighting vectors are different and orthogonal one to another one.
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公开(公告)号:US20230184913A1
公开(公告)日:2023-06-15
申请号:US18064096
申请日:2022-12-09
Applicant: SUPERSONIC IMAGINE
Inventor: Christophe FRASCHINI , William LAMBERT
CPC classification number: G01S7/52077 , G01S15/8918 , A61B8/5269
Abstract: Examples relate to a method for processing beamformed data of a medium. The beamformed data includes a first set of beamformed data associated with a first spatial region and a second set of beamformed data associated with a second spatial region, and the method includes estimating the clutter caused by the second spatial region at the first set.
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公开(公告)号:US20230098785A1
公开(公告)日:2023-03-30
申请号:US17800766
申请日:2021-02-19
Applicant: HOLOGIC, INC. , SUPERSONIC IMAGINE
Inventor: Shawn ST. PIERRE , John LAVIOLA , Helene SPORTOUCHE , Christophe FRASCHINI
Abstract: Examples of the present disclosure describe systems and methods for implementing real-time artificial intelligence (AI) for physical biopsy marker detection. In aspects, the physical characteristics for one or more biopsy site markers may be used to train an AI component of an ultrasound system. The trained AI may be configured to identify deployed markers. When information relating to the characteristics of a deployed marker is input into the ultrasound system, the trained AI may process the received information to create one or more estimated images of the marker, or identify echogenic properties of the marker. During an ultrasound of the site comprising the deployed marker, the AI may use the estimated images and/or identified properties to detect the shape and location of the deployed marker.
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