Comments (3)
Hello @mscipio, could you describe what your dimensions mean? To me it looks like a 20-coil dataset. As you can see from the KbNufftAdjoint documentation the input size should be (N, C) + klength
, where N
is the batch size and C
is the number of coils, so I think your inputs should be [1, 20, 44636800]
for the data and [3, 44636800]
for the trajectory.
Also from the documentation, the units of the k-space should be in radians/voxel, so there may be some conversions you need for the trajectory before inputting it into the operator.
Lastly, I'll say that the package can be a little slow with 3D trajectories, as stated in the performance notes. If there are any transformations you can make to a 2D problem (e.g., a stack-of-stars radial trajectory), I highly recommend using those to improve computation speed.
from torchkbnufft.
Thank you very much for those pointers, @mmuckley
I will make sure to double-check I am doing everything right and then I'll share a (hopefully successful update).
I think I also have a 'trick' I can use to turn the 3D problem into a 2D problem, so I will try that as well.
from torchkbnufft.
Closing as there has been no follow-up. Feel free to reopen if necessary.
from torchkbnufft.
Related Issues (20)
- Basic KB-NUFFT Example HOT 6
- Failed for 3D non-Cartesian trajectory
- MriSenseNufft, AdjMriSenseNufft, AdjKbNufft, ToepSenseNufft removed
- Deprecation warning and shutdown HOT 3
- Accuracy for numpoints = 2 - 7
- nonuniform discrete Fourier transform of type II HOT 4
- grid_size HOT 3
- Make compatible with latest PyTorch HOT 7
- data range changed after processing HOT 4
- KB-NUFFT hangs when used in PyTorch DataLoader with num_workers > 0 HOT 3
- Allow user control of threading
- Could you give an example of implementing a two-dimensional Fourier transform by use torchkbnufft?
- Performance vs FFT HOT 6
- Toeplitz Kernel has boundary artifacts HOT 9
- Support for NFFTs of real valued Arrays HOT 6
- Basic 1D case
- Batched input with varying size leads to TorchScript error HOT 2
- KbInterpAdjoint gives mismatch results? HOT 3
- Gradients w.r.t. coordinates in ktraj
- torch.func (pytorch 2.0) compatibility HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from torchkbnufft.