I am new to VTK (and ITK) and I succesfully visualized with volume rendering my 3D dataset. However, I now only want to show the fetus and the placental volume. So I want to segment the fetus and the placenta, and remove the noise and abdominal.
I already tried with VolView (and 3D slicer) to create a mask and get a hands on experience before generating my python code, but I dont get a proper mask (either automated or semi-automated with seed points). There are a lot of examples for CT and MR, but can someone help me segmenting an ultrasound image?
From the programming standing point, there is no difference between CT, MR and ultrasound images. They’re all data sets with floating pointing numbers.
Now, to your problem. In petroleum industry we have something called a seismic survey, which is much like a big ultrasound image of the Earth . I mean, they’re both images of sound wave reflections caused by contrasts of sound impedances and not direct images of hard and soft rocks or hard and soft tissues in your case. This is your challenge.