Region of interest placement for quantitative ultrasound imaging

A region of interest, ultrasonic imaging technology, applied in ultrasonic/sonic/infrasound image/data processing, ultrasonic/sonic/infrasonic diagnosis, ultrasonic/sonic/infrasound equipment control, etc., can solve the problem of irreproducible, low image quality And other issues
CN110192893AActive Publication Date: 2019-09-03SIEMENS MEDICAL SOLUTIONS USA INC
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SIEMENS MEDICAL SOLUTIONS USA INC
Publication Date
2019-09-03

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Abstract

The invention relates to region of interest placement for quantitative ultrasound imaging. For region of interest (ROI) placement in quantitative ultrasound imaging with an ultrasound scanner (30), the ROI is automatically placed (14) using anatomy detection (10) specific to the quantification, signal processing (11) for clutter, attenuation, or noise, and / or identification (12) of regions of fluid. For quantification, multiple ROIs may be positioned automatically (14). The automatic placement (14) may improve consistency of measures over time and between sonographers and may provide for better image quality with less influence from undesired signals. As a result, diagnosis and / or treatment may be improved.
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Description

Background technique

[0001] The present invention relates to quantifying ultrasound imaging. In quantitative ultrasound imaging, the detected information is further processed to quantify properties of the imaged tissue. Rather than just providing a B-mode image of tissue, it is imaging properties of that tissue. For example, ultrasound imaging is used to calculate shear wave velocity in tissue. Other examples include strain, attenuation or backscatter measurements.

[0002] For quantitative ultrasound imaging, users typically locate a region of interest (ROI) in a B-mode image. The ROI defines the region for which quantification is performed. To avoid delays or processing complications of performing quantification over the entire field of view (FOV) of a B-mode image, a user-localized ROI defines the tissue region used for quantification. This manual ROI positioning hinders workflow and increases scan time. Furthermore, operator dependence and suboptimal ROI localization...

Claims

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