A method of quantifying a 3D fractional moving blood volume (3D-FMBV) in a tissue volume of a subject using an ultrasound system, including acquiring images of the tissue volume from a power Doppler scan of the tissue volume; applying image enhancement settings to the images; segmenting an organ, tissue or region thereof from the image data; determining geometric partitions of the segments based on distance from the transducer head of the ultrasound system; and computing a 3D-FMBV using a 3D-FMBV analysis algorithm from the partitions.

In an example, a system includes an ultrasound sensor configured to transmit ultrasound energy and receive ultrasound energy reflected in a region of a patient and one or more processors configured to generate a reference ultrasound image of the region of the patient based on a portion of the ultrasound energy that was received by the ultrasound sensor prior to a medical instrument or medical device causing obstruction in the received ultrasound energy, generate a live ultrasound image based on a current portion of the received ultrasound energy obtained by the ultrasound sensor, register the reference ultrasound image and the live ultrasound image, and control a display device to display the reference ultrasound image with at least a portion of the live ultrasound image.

Apparatus and methods are described including an endoluminal device configured to move along a portion of a lumen of a subject's body, an extraluminal imaging device, and at least one computer processor. While the endoluminal device moves along the portion of the lumen, a display displays an extraluminal image of the lumen in which a first indication of a location of the lumen is shown. The extraluminal imaging device acquires a sequence of extraluminal images of the endoluminal device moving along the portion of the lumen. The indication of the location of the lumen that is displayed is updated based upon the acquired sequence of extraluminal images, and the acquired sequence of images is displayed with the updated indication of the location of the lumen overlaid upon the images. Other applications are also described.

A structure formed with a frame structure and a sheet of material configured to reduce sound is wrapped around or otherwise surrounds the frame structure to form a hammock, basket, meditation pod, animal bed, snore reduction unit, wearable enclosure or other small structure, with an inner, sound limited or reduced volume. The sheet of material includes a base layer and at least one layer of sound-absorbing material, at least one layer of sound barrier material, or both, provided on or integral with the base layer. The sound limited or reduced volume includes an opening that may be closed or partially closed with a flap, canopy or hood. The flap, canopy or hood is preferably made of the same material at the sheet of material surrounding the frame.

An imaging system includes an imaging device (10) configured to acquire an image in a multi-beat acquisition mode. A quality scoring module (115) is stored in memory and is configured to evaluate changes in the image between portions of a multi-beat cycle to compute a quality score (136) indicating a suitability of the image. A display (118) is included for viewing the image and displaying the quality score as real-time feedback for the image.

A system for automatically determining a thickness of a wall of an artery of a subject includes an ECG monitoring device that captures an electrocardiogram (ECG) signal from the subject, and an ultrasound video imaging device, coupled to the ECG monitoring device, that receives the ECG signal from the ECG monitoring device, and captures a corresponding ultrasound video of the wall of the artery of the subject. The system produces a plurality of frames of video comprising the ultrasound video of the wall of the artery of the subject and an image of the ECG signal. A processor is configured to select a subset of the plurality of frames of the ultrasound video based on the image of the (ECG) signal, locate automatically a region of interest (ROI) in each frame of the subset of the plurality of frames of the video using a machine-based artificial neural network and measure automatically a thickness of the wall of the artery in each ROI using the machine-based artificial neural network.

Apparatus and methods are described including an endoluminal device configured to move along a portion of a lumen of a subject's body, an extraluminal imaging device, and at least one computer processor. While the endoluminal device moves along the portion of the lumen, a display displays an extraluminal image of the lumen in which a first indication of a location of the lumen is shown. The extraluminal imaging device acquires a sequence of extraluminal images of the endoluminal device moving along the portion of the lumen. The indication of the location of the lumen that is displayed is updated based upon the acquired sequence of extraluminal images, and the acquired sequence of images is displayed with the updated indication of the location of the lumen overlaid upon the images. Other applications are also described.

A method of displaying electrophysiology information includes obtaining a three-dimensional medical image of an anatomical region, registering a localization system to the model; localizing an electrophysiology catheter within the anatomical region; displaying a representation of the localization of the electrophysiology catheter on the model; and displaying image slices of the model. The image slices are selected based upon the localization of the electrophysiology catheter. For example, the image slices can pass through a user-selected localization element carried by the electrophysiology catheter. Rigid and/or non-rigid transforms can be used to register the localization system to the model. Electrophysiology data collected by the catheter can be displayed on the model and/or the image slices thereof. The three-dimensional medical image and/or the electrophysiology data can also be time-varying. In embodiments, scalar maps can also be displayed on the model.

Operation of a patient's heart or lungs may be analyzed by transmitting ultrasound energy into the patient's lung, and detecting Doppler shifts of reflected ultrasound induced by moving borders between blood vessels in the lung and air filled alveoli that surround the blood vessels. Movement of the border is caused by pressure waves in the blood vessels that result in changes in diameter of those blood vessels. The detected Doppler shifts are processed with an algorithm designed to increase signal from the moving border with respect to other reflected ultrasound signals and the results are then displayed.

A method and system for processing imaging data of a tissue in an individual following a change in oxygenation or blood flow in tissue, for assessing tissue function. Test images are registered with a baseline image, providing registered images. The registered images may be compared to assess variations in the change in the tissue in response to changes in oxygenation or blood flow of the tissue shown in the images. The change in oxygenation or blood flow in the tissue may be quantified and plotted in a parametric plot or displayed in a parametric map to assess whether the change in oxygenation or blood flow, corresponding to a change in signal intensity, is abnormal following a stress event or under other conditions, to assess microvascular or macrovascular function.