Hi Jenifer, here is a basic example of how you can convert raw ultrasound data into a B-mode image in MATLAB:
- Load the raw ultrasound data into MATLAB. The format of the raw data may vary depending on the type of ultrasound equipment used, but it is typically in a binary file format.
- Pre-process the raw data to remove any DC offset or noise, and adjust the gain and time-gain compensation (TGC) to enhance the image quality. This step is critical to ensure that the resulting image is accurate and of high quality.
- Apply a suitable envelope detection method, such as the Hilbert transform, to extract the envelope of the signal. This step is necessary to convert the raw data into a form that can be visualized as an image.
- Use an appropriate beamforming algorithm, such as delay-and-sum (DAS) or synthetic aperture imaging (SAI), to generate an image from the envelope data. This step involves combining the signals from multiple transducer elements to form a coherent image.
- Adjust the display settings of the image to optimize the contrast and brightness.
The resulting image is displayed using the imagesc function, which creates a 2D color-coded image from the data and here is the documentation for the same Display image with scaled colors - MATLAB imagesc (mathworks.com).
