Provided is a device for elasticity detection, comprising a processor (1), an imaging device (2), an ultrasonic transducer (3) and a puncturing device (4). The ultrasonic transducer (3) is connected to the processor (1) and is configured to detect and obtain morphology characteristic information and elasticity characteristic information of a tissue. The imaging device (2) is connected to the processor (1) and is configured to obtain a morphology image and an elasticity image of the tissue according to the morphology characteristic information and the elasticity characteristic information, respectively, under the control of the processor (1), and merge and display the elasticity image in the morphology image. The puncturing device (4) is connected to the processor (1) and is configured to determine a puncture position according to guidance of the merged image and perform a puncturing and sampling on the tissue.

A control system for controlling an ultrasonic probe includes a module for assigning address parameters respectively to ultrasonic transducers of the probe according to a physical position order of the ultrasonic transducers, a module for arranging the address parameters in an activation sequence, and a module for generating activating signals each corresponding to a respective address parameter. Sequential two address parameters in the activation sequence correspond to two ultrasonic transducers that are non-sequential to each other in the physical position order. Each activating signal is transmitted to a respective ultrasonic transducer that is assigned with the address parameter to which the activating signal corresponds.

An ultrasonic diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire an image of a subject based on a reflected echo signal obtained from reflection of an ultrasonic signal, which is transmitted from an ultrasonic probe, from the subject, identify an acquisition position in the subject at which the image has been acquired, identify a time phase in which the image has been acquired, and cause a display to display an acquisition range of the image on the subject in at least one specific time phase area based on the identified acquisition position and time phase.

A cryosurgical system including a computer system programmed with software configured to perform the following steps: a) capturing at least one first view of a region of interest in a human body; b) capturing at least one second view of the region of interest; c) outlining the region of interest and at least one area outside the region of interest with the assistance of an operator; d) constructing a 3-dimensional model of the region of interest and the at least one area outside the region of interest utilizing the at least one first view and the at least one second view of the region of interest; and e) utilizing the 3-dimensional model of the region of interest and the at least one area outside the region of interest to determine at least one cryosurgical probe placement location.

An intraoral scanner system includes an intraoral scanner having an imaging device and a sensing face, and a computing device, communicatively coupled to the intraoral scanner. The computing device receives a first intraoral images of a three-dimensional intraoral object of a patient generated by the intraoral scanner corresponding to an intraoral scanning of the three-dimensional intraoral object of the patient. The computing device registers a first intraoral image of the first intraoral images relative to a second intraoral image of the first intraoral images using a model of the three-dimensional intraoral object that existed prior to the intraoral scanning.

Systems and methods for real-time tracking of photoacoustic sensing are provided. In one aspect, a method for performing in vivo analysis of a subject is provided. The method includes directing an electromagnetic excitation toward a subject to be analyzed, and acquiring, with an ultrasound probe, data about resultant waves caused by the electromagnetic excitation. The method also includes processing the acquired data to extract information related to properties of tissues in the subject, and comparing the information related to the properties of tissues in the subject using a set of criteria. The method also includes generating a report about a condition of the subject based on the comparison of the information related to properties of the tissues in the subject.

An imaging apparatus includes a transducer, a detecting device and a processor. The transducer includes an emitter and receiver configured to detect a property of an object being scanned at a scanning location. The detecting device is configured to detect a position of the transducer relative to the object being scanned. The processor is configured to obtain, from the transducer, scan information representative of the property when the transducer is positioned at a first position; obtain, form the detecting device, position information representative of the position of the transducer relative to the object being scanned when the transducer is disposed in the first position; determine a coordinate location from the position information; associate the coordinate location with the scan information; and cause the coordinate location associated with the scan information to be stored in a storage.

Methodology, with a programmable-processor imaging system, for control and determination of breast lesion viscoelastic properties with the use of a creep-like test. Two dimensional reconstruction maps are used for different parameters of a linear viscoelastic model. Description of different aspects of the test used on live subjects and suitability of a 1-D inversion model in capturing different viscoelasticity parameters. An automated methodology for the selection of a region of interest derived only from the appearance of the breast lesion on pre-compressed B-mode images. Based on the ROI and estimated viscoelasticity parameters, contrast values are determined that facilitate the enhanced differentiation of breast mass. Employing the methodology in a large group of patients provides better understanding of variations of different viscoelasticity parameters in different types of breast lesion and helps to identify new biomarkers for enhanced differentiation of benign from malignant cases.

Systems and methods are provided for projection profile enabled computer aided detection (CAD). Volumetric ultrasound dataset may be generated, based on echo ultrasound signals, and based on the volumetric ultrasound dataset, a three-dimensional (3D) ultrasound volume may generated. Selective structure detection may be applied to the three-dimensional (3D) ultrasound volume. The selective structure detection may include generating based on a projection of the three-dimensional (3D) ultrasound volume in a particular spatial direction, a two-dimensional (2D) image; applying two-dimensional (2D) structure detection to the two-dimensional (2D) image, to identify structure candidates associated with a particular type of structures; selecting for each identified structure candidate, a corresponding local volume within the three-dimensional (3D) ultrasound volume; applying three-dimensional (3D) structure detection to each selected local volume; and identifying based on applying the three-dimensional (3D) structure detection, one or more structure candidates that match the particular type of structures.

Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the first ultrasound data and the second ultrasound data.