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Hilbert transform for envelope detection
See original GitHub issueIs your feature request related to a problem? Please describe. Many ultrasound computing pipelines rely on a envelope detection detection algorithm. Having such a feature in MONAI would help ultrasound researchers adopt MONAI.
Describe the solution you’d like
A GPU enabled, ideally differentiable, PyTorch version of scipy.signal.hilbert
Describe alternatives you’ve considered
Implementing the Hibert transform if/when needed by using the PyTorch fft.
Additional context Adding @crnbaker in the discussion
Issue Analytics
- State:
- Created 3 years ago
- Comments:10 (10 by maintainers)
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Great, thanks @wyli. I’ll submit my pull request soon.
@crnbaker: I think a 1D Hilbert transform is enough for the use cases I have in mind. However, we should be able to aply it to 2D or 3D images by specifying the dimension across which to apply the 1D transform.
Also, a small performance benchmark with respect to scipy (maybe alse a jax-based implementation?) would be great. It could be as simple a notebook with some timeit in the first instance as e.g. here: https://colab.research.google.com/drive/17pI6xPGLTGcpGBulBrWZeNnBfLAwzqZT?usp=sharing