An ultrasonic diagnostic apparatus according to the present disclosure is configured so that a probe including transducers is connectable thereto and performs predetermined measuring processing on a subject's region of interest. The apparatus includes a controller, which performs transmission processing, in which an ultrasonic wave is transmitted toward the subject including the region of interest by driving the probe, and received signal processing, in which frames are generated based on the probe's received signals representing the ultrasonic wave reflected from the subject including the region of interest, a number of times at mutually different times, thereby generating multiple frames, which selects at least two frames under measurement to be subjected to measurement from the multiple frames, which extracts measurable ranges, where the measuring processing can be carried out, based on respective received signals obtained from the region of interest represented in the at least two frames under measurement, and which combines those measurable ranges together to perform predetermined measuring processing on the region of interest.

Devices, systems, and methods for controlling an intravascular imaging device are provided. For example, in one embodiment a method includes communicating a control signal to an actuator of the intravascular imaging device to cause oscillation of an imaging element of the intravascular imaging device, wherein the intravascular imaging device further includes an acoustic marker; receiving imaging data from the imaging element of the intravascular imaging device; identifying the acoustic marker in the imaging data by determining a correlation between the imaging data and a template representative of the acoustic marker; adjusting an aspect of the control signal based on identifying the acoustic marker; and communicating the adjusted control signal to the actuator of the intravascular imaging device.

Methods and systems for producing an electrophysiological map of a heart of a patient are disclosed. An example method may include determining a target location and an orientation of a catheter tip, confirming that the tip is located at the target location, measuring the heart parameter value at each of the target locations, and superimposing a plurality of representations of the heart parameter value. Confirmation that the tip of the catheter is located at a target location can be accomplished by comparing the current location of the tip with the target location, a corresponding heart parameter value being measured at each of the target locations by a heart parameter sensor, and the representations of the heart parameter value being superimposed on an image of the heart at the target location to produce the electrophysiological map.

An image processing apparatus (10) is disclosed that comprises a processor arrangement (16) adapted to receive image data corresponding to a region of interest (1) of a patients cardiovascular system, said image data comprising a temporal sequence (15) of intravascular ultrasound images acquired (150) at different phases of at least one cardiac cycle of said patient, said intravascular ultrasound images imaging overlapping volumes of the patients cardiovascular system; implement a spatial reordering process of said temporal sequence of intravascular ultrasound images by evaluating the image data to select at least one spatial reference (6, V.sub.ref) associated with said temporal sequence of intravascular ultrasound images; estimating a distance to the at least one spatial reference for each of the intravascular ultrasound images of said temporal sequence; and reordering said temporal sequence of intravascular ultrasound images into a spatial sequence of intravascular ultrasound images based on the estimated distances; and generate an output comprising said spatial sequence of intravascular ultrasound images. Also disclosed are a method and computer program product to configure an image processing apparatus accordingly.

According to one embodiment, an ultrasonic diagnostic apparatus includes processing circuitry. The processing circuitry acquires first echo data in a first mode, and acquires second echo data in a second mode. The processing circuitry sequentially generates a first image including a B-mode image based on the first echo data in the first mode, and sequentially generates a second image not including a B-mode image based on the second echo data in the second mode. The processing circuitry sequentially generates a third image from pre-acquired volume data. The processing circuitry directs a display to sequentially display the first image and the third image in the first mode, and to sequentially display the second image and the third image in the second mode.

A medical image diagnosis apparatus according to an embodiment includes processing circuitry configured to acquire signals from a subject over time, calculate a first similarity representing a similarity of the signals between frames with respect to each of a plurality of frames and a plurality of positions and calculate a second similarity representing a similarity of change of the first similarity over time between the positions, and output the second similarity.

An embodiment of the invention may include a method, computer program product and system for analyzing cardiac function of a patient. An embodiment may include receiving a plurality of digital image representations of cardiac function at rest. An embodiment may include receiving a plurality of digital image representations of cardiac function at stress. An embodiment may include selecting a digital image representation of cardiac function at rest and a corresponding digital image representation of cardiac function at stress. An embodiment may include aligning the selected representation of cardiac function at rest with the selected corresponding representation of cardiac function at stress. An embodiment may include identifying a difference between the selected representation of cardiac function at rest and the selected corresponding representation of cardiac function at stress based on a displayed overlay of the aligned representations.

A physiological information system includes a patient monitor configured to acquire a vital sign based on a vital sign signal of a subject, and an ultrasonic measuring apparatus configured to acquire ultrasonic images based on ultrasonic waves transmitted toward the subject and received from the subject. The patient monitor includes a storage device configured to store measured data of the vital signs in association with measurement dates and times, and to store the ultrasonic images in association with image capture timings, and a controller configured to display a screen on a display section based on data, including the measured data and the ultrasonic images, stored in the storage device.

An ultrasound image processing apparatus includes an image processor arrangement that receives a plurality of ultrasound images. Each ultrasound image shows an invasive medical device relative to an anatomical feature during a cardiac cycle. At different phases of the cardiac cycle, the anatomical feature has a different shape. The ultrasound processing apparatus compiles groups of the ultrasound images with ultrasound images in each group belonging to the same phase of the cardiac cycle. The ultrasound image processing apparatus generates an augmented ultrasound image from one of the ultrasound images by removing a shadow region on the anatomical feature of interest caused by the invasive medical device based on a displacement of the invasive medical device.

An ultrasound imaging system may analyze images of a cardiac cycle for quality prior to analyzing an m-mode image associated with the images. In some examples, the number of cardiac cycles acquired by the ultrasound imaging system is determined by a user. In some examples, the ultrasound imaging system may detect a septum in the ultrasound images and automatically select line through the septum for which the m-mode image is generated. The ultrasound imaging system may analyze the m-mode image to determine a myocardial propagation speed measurement. In some examples, a report may be provided to a user. In some examples, outlier speed measurements may be omitted from the report.