Methods and systems for modulation and mapping of brain tissue in a subject using an ultrasound assembly are provided. An exemplary method for modulation uses an ultrasound assembly including a housing and an ultrasound transducer joined to the housing. The method includes securing the housing to the head of the subject with the ultrasound transducer aligned with a region of the brain tissue to target the region of the brain tissue for modulating, and providing focused ultrasound at an acoustic pressure to the targeted region using the ultrasound transducer to induce cavitation proximate the targeted region. The method further includes detecting a cavitation signal magnitude from the induced cavitation corresponding to the acoustic pressure and modulating the targeted region.

An ultrasound diagnostic device generates a frame reception signal by compounding sub-frame reception signals acquired from a subject body through an ultrasound probe. The sub-frame reception signals are generated through sub-scans composing an ultrasound scan. Between the sub-scans, a range in the scanned subject body differs due to a different ultrasound beam steering angle used. The diagnostic device includes a control circuit with a reception signal acquirer acquiring sub-frame reception signals, and a map creator creating sub-frame enhancement maps corresponding to the sub-frame reception signals, the maps created by calculating, for a pixel region reception signal, an enhancement amount according to a characteristic value calculated based on the pixel region reception signal. The diagnostic device also includes an enhancement-applied reception signal generator generating an enhancement-applied frame reception signal by compounding pixel region reception signals considering the enhancement amount included in at least one sub-frame enhancement map.

An ultrasound diagnostic apparatus 1 includes: a data acquisition unit 3 that repeatedly transmits an ultrasound beam to a subject a plurality of times in a range over a plurality of scanning lines to acquire a time-series data string of reflected waves from the subject; an analysis target data selection unit 7 that estimates the amount of relative positional deviation of a scatterer of the subject which is included in the time-series data string and excludes time-series data satisfying an exclusion condition based on the amount of positional deviation of the scatterer from the time-series data string to select analysis target data; an MTI filter unit 8 that removes a clutter component from the analysis target data; and a blood flow information estimation unit 9 that analyzes the analysis target data from which the clutter component has been removed to estimate blood flow information of the subject.

Rather than rely on variation from physician to physician and limited imaging information for assessing plaque vulnerability of a patient, medical imaging and other information are used by a machine-implemented classifier to predict plaque rupture. Anatomical, morphological, hemodynamic, and biochemical features are used in combination to classify plaque.

The present disclosure relates to noninvasive methods for detecting liver fibrosis. Disclosed herein are noninvasive liver fibrosis detection methods that use Doppler Ultrasound devices and a physics-based machine learning method. Further disclosed herein are methods for detecting liver fibrosis in a subject by detecting and measuring the presence of a shift in the frequency of blood flow in the hepatic vein as compared to the frequency of blood flow in the portal vein.

The present disclosure relates to noninvasive methods for detecting liver fibrosis. Disclosed herein are noninvasive liver fibrosis detection methods that use Doppler Ultrasound devices and a physics-based machine learning method. Further disclosed herein are methods for detecting liver fibrosis in a subject by detecting and measuring the presence of a shift in the frequency of blood flow in the hepatic vein as compared to the frequency of blood flow in the portal vein.

A diagnostic contrast composition includes a carrier fluid and a non-decaying gas-evolving fluid incorporated in the carrier fluid. The gas-evolving fluid has a vapor pressure sufficient to evolve the gas from a circulatory system within a lung of a patient. The gas-evolving fluid is a composition containing a sufficient quantity of atoms with an atomic number higher than 8 to provide an increased absorption sufficient to increase a Hounsfield Unit measurement in an image in a CT imaging system. The gas-evolving fluid is selected from the group consisting of xenon gas, krypton gas, sulfur hexafluoride, a perfluorocarbon, a brominated perfluorocarbon, and combinations thereof. The carrier fluid is selected from the group consisting of water, saline, saline comprising one or more blood proteins, and saline comprising dissolved lipids.

Provided is an ultrasound diagnosis apparatus including an image processor configured to generates an ultrasound image on the basis of an ultrasound signal, an image outputter configured to display the ultrasound image generated by the image processor on the basis of a plurality of parameters, a sound outputter configured to output Doppler sound of the ultrasound image, and a controller configured to control a volume of the Doppler sound on the basis of at least one of the plurality of parameters.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging and ancillary information to the ultrasound imaging. At least two quantitative measurements of a subject, including at least one measurement taken using ultrasound imaging, as part of quantified information can be identified. One of the quantitative measurements can be compared to a first predetermined standard, included as part of ancillary information to the quantified information, in order to identify a first initial value. Further, another of the quantitative measurements can be compared to a second predetermined standard, included as part of the ancillary information, in order to identify a second initial value. Subsequently, the quantitative information can be correlated with the ancillary information using the first initial value and the second initial value to determine a final value that is predictive of a disease state of the subject.

Intravascular ultrasound (IVUS) imaging devices, systems, and method are provided. In one embodiment, an IVUS imaging device includes a flexible elongate member configured to be positioned within a lumen of a patient, the flexible elongate member comprising a proximal portion and a distal portion; and an imaging assembly disposed at the distal portion of the flexible elongate member. The imaging assembly includes a first ultrasound transducer operating at a first center frequency; and a second ultrasound transducer operating at a second center frequency different from the first center frequency.