Open vanessahoang13 opened 1 year ago
The radius is 40 degrees across a surface of 57.6mm, so you should be able to calculate FOV from that Yes the formula you presented is correct, don't forget to include return time
Hi Kris,
Thank you! I just wanted to clarify my calculations to make sure I am interpreting the data correctly.
From that, I am wondering if using this equation for image width is correct: Image Width = 2 Image Depth (tan(FOV/2))
For example, assuming my image depth is set to 15cm and the previously calculated FOV, is the resulting image width = 22.2 cm?
If depth = (speed of sound / 2) * (number of samples / sampling frequency) In the above screenshot of my _rf.yml file, the number of samples = 1632 and sampling frequency = 15 MHz. Using this information and the above equation, the depth = 8.37cm which does not match the set image depth of 15cm.
I noticed this line in the README file under the Data Type Formats section for RF data: At depths < 2cm, 60MHz sampling is applied; at 2 - 4cm, 30MHz sampling is applied; at depths > 4cm, 15 MHz sampling is applied.
If the sampling frequencies applied are different at varying depths, what is the formula used to calculate this depth?
Hello,
I am currently scanning images using the C3 HD3 scanner in B-mode and had a few questions.
Thanks!