A tissue positioning system for contouring a patient tissue volume includes an axially displaceable interface having a surface configured to engage a breast or other tissue volume. A low pressure source applies a partial low pressure to the surface of the displaceable interface to secure the tissue volume to the surface, and the axially displaceable interface is biased to pull and contour the tissue volume when the tissue volume is secured to the surface. The axially displaceable interface is typically mounted on a telescoping support and the biasing is provided by the same low pressure used to secure the tissue volume.

A sound wave is transmitted to a subject from one or more transducers in an transducer array in which a plurality of the transducers are arranged. A measured sound pressure measured by a plurality of transducers for the sound wave transmitted through an imaging region of the subject is received from the transducers. The measured sound pressure is processed to generate a transmitted wave image in the imaging region. A simulated sound wave having a sound pressure changing with time is generated from a simulated sound source, the sound pressure when the simulated sound wave is transmitted through the imaging region and reaches a plurality of simulated detectors is obtained by calculation as a calculated sound pressure, and the transmitted wave image is sequentially corrected using the calculated sound pressure with the transmitted wave image as an initial image.

Ultrasound tomography imaging methods for imaging a tissue medium with one or more ultrasound transducer arrays comprising a plurality of transducers, wherein said transducers comprise source transducers, receiving transducers. The methods include assigning a phase value or time delay to source transducers, exciting the transducers and calculating a search direction based on data relating to the excited transducers.

Ultrasound tomography imaging methods for imaging a tissue medium with one or more ultrasound transducer arrays comprising a plurality of transducers, wherein said transducers comprise source transducers, receiving transducers. The methods include assigning a phase value or time delay to source transducers, exciting the transducers and calculating a search direction based on data relating to the excited transducers.

For shear wave imaging with ultrasound, the apparent pulse repetition frequency is increased by combining displacements from different lateral locations. Different combinations based on different shear wave velocities and corresponding time shifts and/or attenuations and corresponding scalings are tested to find a smooth displacement profile for the combination. Once the smooth displacement profile is found, the corresponding shear wave velocity is estimated or determined.

A method for detecting movements of a plurality of points (P) of a surface (21), comprising a measuring step during which an incident ultrasonic wave is emitted into the air towards the surface and an ultrasonic wave reflected into the air by the surface (21) is detected. During the measuring step, each measuring point is illuminated by the incident ultrasonic wave at a multiplicity of angles of incidence, and the reflected ultrasonic wave is detected by a network of receiving transducers (3) comprising a plurality of ultrasonic receiving transducers (3a). The movements of the surface are determined at a measuring point by determining a delay and/or a phase shift between two beam-forming signals for said measuring point.

An image pixel array captures and infrared image of an interference between an imaging signal and a reference wavefront. A display pixel array generates an infrared holographic imaging signal and the image pixel array receives the infrared imaging signal through the display pixel array.

With a detector in which detection elements are placed in a spherical shape, a uniform resolution area is narrow. An acoustic-wave acquisition apparatus is equipped with a detector including a plurality of detection elements that receive acoustic waves from a subject, the receiving surfaces of at least some of the detection elements being at different angles. The apparatus includes a scanning unit configured to move at least one of the subject and the detector to change the relative position of the subject and a highest-resolution area determined depending on the placement of the detection elements.

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.

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.