Abstract: A method of analyzing an image of a volume of tissue to determine a risk of developing breast cancer using a volume averaged sound speed within the volume. A method of determining a response to a treatment plan by determining a volume and a volume averaged sound speed of a region of interest within a volume of breast tissue and generating a combined metric from the volume and the volume averaged sound speed over the plurality of instances of time. A method of analyzing an image of a volume of tissue of a breast by applying a spatial filter to at least one ultrasound tomography image at the computing system and generating a stiffness map from the at least one ultrasound tomography image.

Abstract: Described herein are systems, and methods for aiding a user to classify a volume of tissue. A system as described herein may comprise: a plurality of parameters associated with image characteristics related to one or more images of a volume of tissue; a plurality of probabilities each associated with a potential classification of a region of the volume of tissue and each related to one or more parameters of the plurality of parameters, wherein the plurality of probabilities are assumed to be independent of one another; and a graphical display visible to a user, the display comprising a graphical representation of a subset of relevant parameters of the plurality of parameters, wherein the graphical representation informs a classification of the region of the volume of tissue, and wherein a probability of the classification is represented visually.

Abstract: A method and system for analyzing stiffness in a volume of tissue, the method including: emitting acoustic waveforms toward the volume of tissue with an array of ultrasound transmitters; detecting, with an array of ultrasound receivers, a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue; generating, from the set of acoustic signals, a sound speed map and an acoustic attenuation map of a region of the volume of tissue, generating a stiffness map derived from combination of a set of sound speed parameter values of the sound speed map and a corresponding set of acoustic attenuation parameter values of the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region; and at a display in communication with the computer processor, rendering a stiffness image of the volume of tissue, based upon the stiffness map.

Abstract: This application presents a system and related methods that analyze a volume of tissue using ultrasound waveform tomography imaging. By using frequency-domain waveform tomography techniques and a gradient descent algorithm, the system can reconstruct the sound speed distributions of a volume of tissue, such as breast tissue, of varying densities with different types of lesions. By allowing sound speed to have an imaginary component that characterizes sound attenuation, the system can classify the different types of lesions with a fine granularity.

Abstract: A method and device are provided for determining a mode of detection of an element that reflects ultrasonic waves, wherein it comprises at least the following steps: For each point P of a given volume Zr, determining an ultrasonic field value Aijm (P) for N emitter-receiver pairs (i, j) and for one detection mode m, computing a number C m ? ( P , n ? ) = ? i , j = 1 N ? ? c ij m ? ( P , n ? ) of reflections of the wave where c ij m = { 1 if ? ? ? n ? ij m ? ( P ) · n ? ? = 1 0 if ? ? not with {right arrow over (n)}ijm(P) the normal formed by the “forward” direction {right arrow over (d)}i and the “backward” direction {right arrow over (d)}j of the ultrasonic wave emitted and reflected by the reflecting element, computing the energy value Em(P,{right arrow over (n)}) for each point P of the zone Zr, with {right arrow over (n)} and for a plurality of modes m with E m ? ( P , n ? ) = ? i , j = 1

Abstract: A method and system for generating an enhanced image of a volume of tissue, the method comprising: emitting acoustic waveforms toward the volume of tissue; detecting a set of acoustic signals derived from acoustic waveforms interacting with the volume of tissue; generating, from the set of acoustic signals, an initial model representing a distribution of an acoustomechanical parameter across a region of the volume of tissue; extracting a set of frequency components, from the set of acoustic signals; generating a first simulated wavefield with a first frequency component of the set of frequency components; generating an updated model of the initial model with the first simulated wavefield; iteratively refining the updated model with a set of simulated wavefields associated with the set of frequency components until a threshold condition is satisfied, thereby producing a final model; and generating the enhanced image from the final model of the volume of tissue.

Abstract: A system and method for optimising the preparation of dental restorations is provided. The system comprises a dental restoration surface processing unit, a dental restoration assessment unit, a database comprising a treatment parameters database and a processing protocols database, a processor operationally coupled to said dental restoration surface processing unit and a protocol selector. The method treats a dental restoration surface using the system and according to one or more selected processing protocol.

Abstract: A method and system for analyzing stiffness in a volume of tissue, the method including: emitting acoustic waveforms toward the volume of tissue with an array of ultrasound transmitters; detecting, with an array of ultrasound receivers, a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue; generating, from the set of acoustic signals, a sound speed map and an acoustic attenuation map of a region of the volume of tissue, generating a stiffness map derived from combination of a set of sound speed parameter values of the sound speed map and a corresponding set of acoustic attenuation parameter values of the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region; and at a display in communication with the computer processor, rendering a stiffness image of the volume of tissue, based upon the stiffness map.

Abstract: A method and system for analyzing stiffness in a volume of tissue, the method including: emitting acoustic waveforms toward the volume of tissue with an array of ultrasound transmitters; detecting, with an array of ultrasound receivers, a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue; generating, from the set of acoustic signals, a sound speed map and an acoustic attenuation map of a region of the volume of tissue, generating a stiffness map derived from combination of a set of sound speed parameter values of the sound speed map and a corresponding set of acoustic attenuation parameter values of the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region; and at a display in communication with the computer processor, rendering a stiffness image of the volume of tissue, based upon the stiffness map.

Abstract: This application presents a system and related methods that analyze a volume of tissue using ultrasound waveform tomography imaging. By using frequency-domain waveform tomography techniques and a gradient descent algorithm, the system can reconstruct the sound speed distributions of a volume of tissue, such as breast tissue, of varying densities with different types of lesions. By allowing sound speed to have an imaginary component that characterizes sound attenuation, the system can classify the different types of lesions with a fine granularity.

Abstract: A method and system for imaging a volume of tissue and defining a tissue boundary comprising: receiving a baseline dataset representative of a first set of signals interacting with a medium; receiving a reconstruction dataset representative of a second set of signals interacting with the medium and the volume of tissue present in the medium; determining a set of direct emitter-receiver pairs, each defining a direct trajectory that does not pass through the volume of tissue; from the set of direct emitter-receiver pairs, determining a set of tangential emitter-receiver pairs, each defining a bounding vector comprising a tangent point along the tissue boundary; determining a set of interior pixels, of the reconstruction dataset, characterized by a set of pixel locations within the tissue boundary; and reconstructing pixels of the set of interior pixels, thereby transforming the baseline and the reconstruction datasets into an image rendering of the volume of tissue.

Abstract: The actuated leg prosthesis comprises a knee member, a socket connector provided over the knee member, an elongated trans-tibial member having a bottom end under which is connected an artificial foot, and a linear actuator. A first pivot assembly allows to operatively connect the trans-tibial member to the knee member. A second pivot assembly allows to operatively connect an upper end of the actuator to the knee member. A third pivot assembly allows to operatively connect a bottom end of the actuator to the bottom end of the trans-tibial member. The prosthesis can be provided as either a front actuator configuration or a rear actuator configuration.

Abstract: A method and system for generating an enhanced image of a volume of tissue, the method comprising: emitting acoustic waveforms toward the volume of tissue; detecting a set of acoustic signals derived from acoustic waveforms interacting with the volume of tissue; generating, from the set of acoustic signals, an initial model representing a distribution of an acoustomechanical parameter across a region of the volume of tissue; extracting a set of frequency components, from the set of acoustic signals; generating a first simulated wavefield with a first frequency component of the set of frequency components; generating an updated model of the initial model with the first simulated wavefield; iteratively refining the updated model with a set of simulated wavefields associated with the set of frequency components until a threshold condition is satisfied, thereby producing a final model; and generating the enhanced image from the final model of the volume of tissue.

Abstract: A method and system for analyzing stiffness in a volume of tissue, the method including: emitting acoustic waveforms toward the volume of tissue with an array of ultrasound transmitters; detecting, with an array of ultrasound receivers, a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue; generating, from the set of acoustic signals, a sound speed map and an acoustic attenuation map of a region of the volume of tissue, generating a stiffness map derived from combination of a set of sound speed parameter values of the sound speed map and a corresponding set of acoustic attenuation parameter values of the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region; and at a display in communication with the computer processor, rendering a stiffness image of the volume of tissue, based upon the stiffness map.

Abstract: The present invention discloses an instrumented prosthetic foot for use with an actuated leg prosthesis controlled by a controller, the instrumented prosthetic foot comprising a connector to connect the instrumented prosthetic foot to the leg prosthesis, an ankle structure connected to the connector, a ground engaging member connected to the ankle, at least one sensor for detecting changes in weight distribution along the foot, and an interface for transmitting signals from the sensor to the controller.

Abstract: Certain aspects of the present disclosure provide methods for distributed sensing and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation.

Abstract: The invention relates to a method for cultivating microorganisms, particularly of the type that comprises the step of seeding a culture medium with one or more microorganism strains, and the step of cultivating the medium thus seeded, characterized in that it comprises, during the entirety or a portion of the cultivation, the two following and simultaneous adjustments: adjusting the amount of oxygen dissolved in the medium to a given dissolved-oxygen setpoint; adjusting the value of the redox potential Eh of the medium to a given setpoint value Eh.

Abstract: A method and system for imaging a volume of tissue and defining a tissue boundary comprising: receiving a baseline dataset representative of a first set of signals interacting with a medium; receiving a reconstruction dataset representative of a second set of signals interacting with the medium and the volume of tissue present in the medium; determining a set of direct emitter-receiver pairs, each defining a direct trajectory that does not pass through the volume of tissue; from the set of direct emitter-receiver pairs, determining a set of tangential emitter-receiver pairs, each defining a bounding vector comprising a tangent point along the tissue boundary; determining a set of interior pixels, of the reconstruction dataset, characterized by a set of pixel locations within the tissue boundary; and reconstructing pixels of the set of interior pixels, thereby transforming the baseline and the reconstruction datasets into an image rendering of the volume of tissue.

Abstract: A method for imaging a volume of tissue in a scan region, including: emitting, from transmitting transducers, acoustic waveforms toward the volume of tissue; detecting, with detecting transducers, a plurality acoustic signals derived from acoustic waveforms interacting with the volume of tissue; generating from the detected acoustic signals a plurality of variable attenuation maps, in which each variable attenuation map corresponds to acoustic signals detected by a respective detecting transducer and includes a plurality of variable attenuation coefficients mapped to the scan region; modifying at least a portion of the detected acoustic signals based on one or more variable attenuation maps; and generating a reflection rendering of the volume of tissue based on the modified acoustic signals.