Hi,
I'm new to k-Wave so forgive my naive questions. Perhaps this has been answered many times, but I was wondering if there is any code available to show how you simulate a 3D ultrasound images. I am trying to extract the data from the phantom described in http://www.k-wave.org/documentation/example_us_bmode_linear_transducer.php but I only get 2D images. Is it possible?
Thanks
Ricard
Just to provide a bit more of context. What I'm trying to do is to generate a 3D phantom with k-Wave to evaluate the performance of a segmentation algorithm I'm working on. That's why I'd like to have the 3D ultrasound images.
Thanks
Ricard
Hi Ricard,
This sort of simulation would certainly be possible with k-Wave, but I'm not aware of any examples that anyone has written yet. You would need to define the source as a 2D array instead of a 1D array, and process the input and output signals accordingly. It will probably be a little fiddly the first time around. It's on our list of examples to include, but unfortunately the turn around is not likely to be fast.
Brad.
Hi Bradley,
I am working on the example example_us_bmode_linear_transducer.m. I've seen that there is a property of the transducer (transducer.elevation_focus_distance) that is supposed to provide information about the focus distance in the elevator plane. Can I simply call this script (example example_us_bmode_linear_transducer.m) with different values of this parameter to build the z-stack? I am not so much concerned about the computational complexity, but rather in an easy way to obtain the stack.
Thanks
Ricard
Hi again,
I tried to run the script "example example_us_bmode_linear_transducer.m" for different values of the transducer.elevation_focus_distance. The output does not reflect the structure of the three spheres. Is my approach valid?
Thanks
Ricard
Hi Ricard,
To form a 3D ultrasound image requires some information from the elevation plane. Just changing the elevation focus distance won't be enough (this will just give you the same 2D image with slightly different contributions from out-of-plane scatterers). One possibility without changing the code too much would be to simulate multiple 2D images (for example, by translating the medium or the position of your transducer). Clinical images are often formed in this manner by using a conventional diagnostic ultrasound probe along with a tracking device. The 2D images are then stitched together to form a single 3D volume.
I am currently on the road, but when I'm back at my desk I'll take a look at creating an example using a 2D array probe.
Brad.
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