A wearable cardiac ultrasound imager - Nature

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A wearable cardiac ultrasound imager - Nature
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Nature research paper: A wearable cardiac ultrasound imager

. For most of the tests, the device was first attached to the phantom surface and rotated to ensure the best imaging plane. Raw image data were saved to guarantee minimum information loss caused by the double-to-int8 conversion. Then the raw image data were processed using the ‘scanConversion’ function provided in the k-Wave toolbox to restore the sector-shaped imaging window . We applied five times upsampling in both vertical and lateral directions.

$$\Delta x=\frac{{\rm{imaging}}\,{\rm{w}}{\rm{i}}{\rm{d}}{\rm{t}}{\rm{h}}}{{N}_{{\rm{pixel}},{\rm{l}}{\rm{a}}{\rm{t}}{\rm{e}}{\rm{r}}{\rm{a}}{\rm{l}}}-1}$$ The lateral accuracy was presented as the mean accuracy of the four neighbouring pairs of lateral lines at a depth of 50 mm in the phantom. As for different transmit beamforming methods, the wide-beam compounding is the best because it can achieve a synthetic focusing effect in the entire insonation area. The better the focusing effect, the higher the lateral resolution, which is why the lateral resolution of the wide-beam compounding is better than the other two transmit methods at the same depth. Furthermore, the multiple-angle scan used in the wide-beam compounding can enhance the resolution at high-angle areas.

The dynamic range in an ultrasound system refers to the contrast range that can be displayed on the monitor. The contrast between an object and the background is indicated by the average grey value of all pixels in the object in the display. The grey value is linearly proportional to the contrast. The larger the contrast, the larger the grey value.

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