A non-destructive process of inspecting an object can include positioning a first and second ultrasonic element relative to the body of the object and offsetting the first and second ultrasonic elements in a direction orthogonal to a longitudinal axis of the body. A further process of inspecting an object can include creating a map of the body of the object including at least one anomaly and providing a quality value associated with the body based on evaluation of one or more criteria selected from the group consisting of the type, number, size, shape, position, orientation, edge sharpness, and any combination thereof of the at least one anomaly. An ultrasonic system can include a first and second ultrasonic element and a processing element. The process element can be configured to create a map of the body including at least one anomaly and provide a quality value associated with the body based on evaluation of one or more criteria selected from the group consisting of the type, number, size, shape, position, orientation, edge sharpness, and any combination thereof of the at least one anomaly.

A method of detecting corrosion in a conduit or container comprises measuring the thickness of a wall of the conduit or container with one or more pulse-echo ultrasound devices, wherein the method comprises the following steps: (i) receiving signals indicative of A-scan data from the one or more pulse-echo ultrasound devices, wherein the A-scan data comprises a plurality of A-scan spectra; (ii) determining which of the A-scan spectra have a distorted waveform such that a reliable wall thickness measurement cannot be determined; (iii) analysing the A-scan spectra identified in step (ii) as having a distorted waveform to determine one or more A-scan spectral characteristics of each spectrum that are causing the distortion; (iv) resolving the waveform characteristics based on the determined spectral characteristics causing the waveform distortion so as to produce modified A-scan spectra; (v) determining thickness measurements of the wall based on the modified A-scan spectra; and (vi) determining the extent to which the wall has been corroded based on the thickness measurements determined in step (v) and additional thickness determined from A-scan spectra.

An ultrasound device, including a profile generator, an encoder configured to receive a profile signal from the profile generator, and an attenuator configured to receive a signal representing an output of an ultrasound sensor and coupled to the encoder to receive a control signal from the encoder, the attenuator including a plurality of attenuator stages, the attenuator configured to produce an output signal that is an attenuated version of the input signal.

An apparatus may include one or more optical fibers, one or more optical waveguides, and multiple resonator nodes arranged in an array of sensing locations. Each resonator node may include an optical coupling between an optical waveguide and an optical fiber having a set of resonant frequencies at a respective sensing location. Each resonator node may be further configured to communicate a set of signals corresponding to at least one shift in the set of resonant frequencies in the optical fiber at the respective sensing location.

A scanning device is provided. The scanning device includes a frame having a first portion and a second portion pivotably coupled to the first frame portion. The scanning device also includes a couplant source disposed in the first frame portion along with a couplant assembly. The couplant assembly includes a first couplant line disposed completely within the first frame portion and the second frame portion. The couplant assembly also includes a second couplant line extending from the first couplant line and out of the second frame portion at a first end of the second couplant line. The couplant assembly has a couplant line branch extending from the second couplant line where a sensor assembly of the ultrasound scanning device couples with the couplant line branch at an end opposite the second end of the second couplant line.

This present disclosure describes an ultrasound image display method and apparatus, a storage medium, and an electronic device. The method includes acquiring, by a device, an input signal by performing detection on a to-be-detected object, the input signal comprising a three-dimensional (3D) radio-frequency (RF) signal. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes performing, by the device, a modulus calculation on the 3D RF signal to obtain envelope information in a 3D ultrasound image, the modulus calculation being at least used for directly acquiring a 3D amplitude of the 3D RF signal; and displaying, by the device, the envelope information in the 3D ultrasound image, the envelope information being at least used for indicating the to-be-detected object.

Optical whispering gallery mode (WGM) resonator-based acoustic sensors, imaging systems that make use of the acoustic sensors, and methods of detecting ultrasound waves using the acoustic sensors are disclosed.

A scanning apparatus for imaging an object, comprising an ultrasound transducer comprising a transmitter configured to transmit ultrasound signals in a first direction towards an object and a receiver configured to receive reflected ultrasound signals from an object; and a backing block for absorbing ultrasound signals, located adjacent the transducer along a second direction opposite to the first direction; the backing block comprising an inner surface facing the transducer, the inner surface comprising a non-planar feature configured to increase the absorption of ultrasound signals by the backing block.

Described herein are systems and methods based on acoustic emission (AE) technology to monitor a concrete structure for a short interval and, based on signals acquired, estimate Alkali-silica reaction (ASR) progression status in the structure remotely and efficiently without halting any serviceability and operational activities of the structure, knowing the ASR progression status of the structure helps determine rehabilitation and future structural safety and serviceability of the structure.

An acoustic inspection system can be used to generate a surface profile of a component under inspection, and then can be used to perform the inspection on the component. The acoustic inspection system can obtain acoustic imaging data, e.g., FMC data, of the component. Then, the acoustic inspection system can apply a previously trained machine learning model to an encoded acoustic image, such as a TFM image, to generate a representation of the profile of one or more surfaces of the component. In this manner, no additional equipment is needed, which is more convenient and efficient than implementations that utilize additional components that are external to the acoustic inspection system.