Imacor Inc.

Long Island Jewish Medical Center

Hofstra University

Prisma Medical Technologies LLC

Harold M Hastings

Scott L Roth

Edward Paul Harhen

Nicolas Heron

Steven J L Evans

Steven J Evans

Transesophageal echocardiography is implemented using a miniature transversely oriented transducer that is preferably small enough to fit in a 7.5 mm diameter probe, and most preferably small enough to fit in a 5 mm diameter probe. Signal processing techniques improve the depth of penetration to the point where the complete trans-gastric short axis view of the left ventricle can be obtained, despite the fact that the transducer is so small. The reduced diameter of the probe (as compared to prior art probes) reduces risks to patients, reduces or eliminates the need for anesthesia, and permits long term direct-visualization monitoring of patients' cardiac function.

Transesophageal ultrasound using a narrow probe

A phased array ultrasound transducer is made from a plurality of independently excitable elements that are arranged in a row in the azimuthal direction, configured so that azimuthal aiming of an outgoing ultrasound beam is controlled by timing the excitation of the elements. The geometry of the elements is configured to focus the outgoing beam in the elevation direction so as to improve the images of target regions located at or about a particular radial distance. In some embodiments, this is accomplished by forming each element from a plurality of subelements that are stacked in the elevation direction, with the subelements of any given element all (a) wired together and (b) positioned at about the same distance from a substantially rod-shaped focal region.

Ultrasound transducers with improved focus in the elevation direction

To keep the temperature of an ultrasound probe down, the probe is operated at a low frame rate (with correspondingly low heat generation) for the vast majority of time. Probe operation is only switched to the high frame rate temporarily at times when high temporal resolution is needed, preferably under operator control. The probe is only operated at the high frame rate for a short period of time, during which a burst of images with high temporal resolution is obtained. After capturing the short burst of images, the frame rate is cut back, which reduces the generation of heat.

Temperature management for ultrasound imaging at high frame rates

Signal processing techniques reduce the impact of noise (including speckle noise and shot noise) on ultrasound images by reducing the intensity of pixels that are probably noise and increasing the intensity of pixels that are probably signal. The decision of whether a given pixel is probably noise or probably signal is made based on spectral characteristics of the samples in and around the given pixel, based on knowledge of the expected spectral characteristics of the signal and the expected spectral characteristics of the noise.

Ultrasound imaging with reduced noise

The visibility of features in ultrasound images that include at least two types of tissue can be improved by processing the images using a variety of algorithms. In one such algorithm, the ratio of power in a first spatial frequency band to power in a second spatial frequency band is computed for a plurality of samples of a received ultrasound return signal that are associated with a given pixel. In another such algorithm, the ratio of power in a first spatial frequency band to total power is computed. With both algorithms, the computed ratio is then mapped to a gain for the given pixel, the raw intensity of the given pixel is modified in accordance with the gain, and the pixel is displayed with the modified intensity.

Signal processing for ultrasound imaging

A method for reducing speckle in an ultrasonic image formed from a digitized scan line including linearly arranged signal intensity data points obtained from ultrasonic energy reflected by structures within a body. The scan line is divided into intensity pixels. Each intensity pixel includes at least one data point. A raw intensity level and a feature gain factor are determined for each intensity pixel. A corrected intensity level is calculated for each intensity pixel by multiplying the raw intensity level for each intensity pixel by the corresponding feature gain factor. The corrected intensity level of each intensity pixel is displayed.

Method and apparatus for ultrasonic imaging

An ultrasound method and apparatus for classification of tissue in a region of interest in a body. The raw ultrasound return data is digitized and processed without the need for human visual analysis of pixel-scale video images. Tissue classification is done by correlation of the relative amount of energy in selected frequency bands of the power spectrum of the returned demodulated ultrasound data to that of known tissue samples.

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Garden City, NY, United States of America

Harold M Hastings