Siemens Medical Solutions USA, Inc.

Jeffrey Stoll

Dorin Comaniciu

Terrence Chen

Ali Kamen

Gareth Funka-Lea

Peng Wang

Sara Good

Luca Valente

A needle is enhanced in a medical diagnostic ultrasound image. The image intensities associated with a needle in an image are adaptively increased and/or enhanced by compounding from a plurality of ultrasound images. Filtering methods and probabilistic methods are used to locate possible needle locations. In one approach, possible needles are found in component frames that are acquired at the same time but at different beam orientations. The possible needles are associated with each other across the component frames and false detections are removed based on the associations. In one embodiment of needle detection in an ultrasound component frame, lines are found first. The lines are then searched to find possible needle segments. In another embodiment, data from different times may be used to find needle motion and differences from a reference, providing the features in additional to features from a single component frame for needle detection.

Needle enhancement in diagnostic ultrasound imaging

Contact pressure from a transducer is controlled in medical diagnostic ultrasound imaging. Rather than measuring pressure directly using a pressure sensor on the transducer, the compression of tissue within the patient may be measured using ultrasound scanning. The desired amount of compression in the region of interest for diagnosis may be obtained. For example in breast imaging, the desired compression for imaging a portion of the breast is compared to compression measured from ultrasound data. Once the desired tissue compression is achieved, the pressure applied by the transducer is maintained while the diagnosis scan occurs. For example, a robotic arm locks or otherwise maintains the pressure during scanning.

Pressure control in medical diagnostic ultrasound imaging

A method for automatically assessing medical ultrasound (US) image usability, includes extracting one or more features from at least one part of a medical ultrasound image, calculating for each feature a feature score for each pixel of the at least one part of the ultrasound image, and classifying one or more image pixels of the at least one part as either usable or unusable, based on a combination of feature scores for each pixel, where usable pixels have intensity values substantially representative of one or more anatomical structures.

System and method for detection of acoustic shadows and automatic assessment of image usability in 3D ultrasound images

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San Mateo, CA, United States of America

Jeffrey Stoll