A method for visualizing and targeting anatomical structures inside a patient utilizing a handheld screen device may include grasping the handheld screen device and manipulating a position of the handheld screen device relative to the patient. The handheld screen device may include a camera and a display. The method may also include orienting the camera on the handheld screen device relative to an anatomical feature of the patient by manipulating the position of the handheld screen device relative to the patient, capturing first image data of light reflecting from a surface of the anatomical feature with the camera on the handheld screen device, and comparing the first image data with a pre-operative 3-D image of the patient to determine a location of an anatomical structure located inside the patient and positioned relative to the anatomical feature of the patient.

A system for screening and diagnostics of cellular tissue includes a system controller, an ultrasound apparatus, an electromechanical positioning apparatus, and an image analyzer communicably coupled together. The electromechanical positioning apparatus includes an articulated arm, and the ultrasound apparatus includes a scan head coupled to an end of the articulated arm. The system controller controls the electromechanical positioning apparatus to move the scan head adjacent the cellular tissue while controlling the ultrasound apparatus to generate a first set of ultrasound images of the cellular tissue. The image analyzer analyzes the ultrasound images, and in response to identifying a potential abnormality, the electromechanical positioning apparatus is controlled to move the scan head to a position adjacent the location of the potential abnormality, where the electromechanical positioning apparatus and the ultrasound apparatus are controlled to generate a second set of ultrasound images of the potential abnormality.

Embodiments of the present disclosure relate to techniques for neuromodulation delivery. Based on image data acquired from the subject, control parameters controlling energy application of neuromodulating energy may be dynamically changed during the course of the delivery to maintain desired characteristics of the neuromodulating energy. For example, the beam of the neuromodulating energy may be dynamically adjusted to account for movement of an organ during breathing. In another embodiment, a desired region of interest is identified within the subject based on a trained neural network and the acquired image data.

An intravascular blood flow sensing system is provided. The system includes an intravascular catheter or guidewire with a flow sensor that obtains flow data of blood flow within a blood vessel. The system includes a processor circuit that communicates with the intravascular catheter or guidewire. The processor circuit receives the flow data from the intravascular catheter or guidewire, determine a plurality of values based on the flow data, and outputs a plot of the plurality of values to a display. The plot includes peak associated with coronary reactivity testing (CRT). The processor circuit can also automatically change between a louder volume and a softer volume for audio output of the flow data. The processor circuit can additional communicate with a device other than the flow sensor (e.g., ECG, pressure sensor, etc.), and graphical representations of the flow data and the data received from the other device can be independent scaled.

The present disclosure describes an ultrasound imaging system configured to identify a scan line pattern for imaging an object or feature thereof. The system may include a controller that controls a probe for imaging a volume of a subject by transmitting and receiving ultrasound signals in accordance with a plurality of scan line patterns. One or more processors communicating with the probe may generate a plurality of image data sets based on the signals received at the probe, each data set corresponding to a discrete scan line pattern. These data sets are assessed for a target characteristic specific to the object targeted for imaging. One the data set that includes the target characteristic is identified, the one or more processors select the scan line pattern that corresponds the identified image data set. This scan line pattern may then be used for subsequent imaging of the volume to view the object.

An elastography device includes a probe with a single ultrasound transducer; or a plurality of ultrasound transducers, and a low frequency vibrator arranged to induce a displacement of said single ultrasound transducer or plurality of ultrasound transducers towards a tissue. The device is configured to emit a sequence of ultrasound pulses and to acquire echo signals received in response to track how elastic waves, induced by the displacement, travel in the tissue. The device is configured to generate, for one or more of the ultrasound pulses emitted a temporal offset upon emission, and/or a temporal offset upon reception, so that a difference thereof varies as a function of 2.d/.sub.Vus, where d is the displacement of the single transducer or plurality of ultrasound transducers, and where .sub.Vus is the speed of ultrasound in said tissue.

Ultrasound methods provide for the motion tracking of both vessel wall motion and blood flow (e.g., with use of high frame rate ultrasound pulse echo data and speckle tracking both wall motion and flow can be tracked simultaneously). Ultrasound systems provide for the motion tracking of both vessel wall motion and blood flow (e.g., with use of high frame rate ultrasound pulse echo data and speckle tracking both wall motion and flow can be tracked simultaneously).

A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape. The regional leaflet stress distributions may be predicted in normal and diseased (regurgitant) mitral valves using the techniques of the invention.

A method and system for deriving one or more hemodynamic parameters based on blood-velocity and arterial diameter measures, or parameters proportional thereto, each sampled recurrently or continuously over a time period to obtain for each a data series spanning a time window (i.e. a waveform). This is used, preferably in combination with at least one further physiological parameter, for example heart rate, to derive one or more hemodynamic parameters. A transfer function or machine learning model is used to process the inputs to obtain the estimated hemodynamic parameters.

Information relevant to a state of a tissue in a subject (state information) is provided with technology reducing the amount of memory and computation necessary at the time of extracting the information. An ultrasonic wave is transmitted towards a subject, a transmission wave transmitted through the subject or a reflection wave reflected on the subject is received. A reception signal is generated on the basis of the transmission wave or the reflection wave. A tissue region candidate, of a region indicating a tissue of the subject, is set on the basis of the reception signal. State information, which is information relevant to a state of the tissue in the tissue region candidate, is calculated on the basis of the reception signal and the tissue region candidate. An ultrasonic image reflecting the state information is generated on the basis of the state information and displayed.