Comments (3)
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THX, my code is :
out = ants.registration(fixed, moving, type_of_transform='SyNCC') # no mask
and my out pic (mitk) is :
left is fixed image ,middle is after reg image and the right is move image。
Because of the large deformation of the tissues such as breathing, liver, lungs, and heart, what appropriate parameters should I use? please! thank!
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to properly answer this question, you would need to run an evaluation study. how would you do this?
-
define an objective metric that measures performance quantitatively
-
run a bunch of registrations to determine which performs best according to the above criterion
-
change the similarity metric and its parameters - probably variants of MI for rigid/affine and CC for deformable will work
-
try different number of multi-resolution strategies
-
set the number of iterations to be large so you can achieve convergence
- but start your experiments using only low-resolution so you can gain an intuition about performance without waiting a week
anyway, those are some general guidelines in addition to: https://www.ncbi.nlm.nih.gov/pubmed/24058331
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Related Issues (20)
- ants/lib.cpython-311-darwin.so not valid for use in process: library load disallowed by system policy HOT 1
- Error in outputting deformation field and Jacobian determinant HOT 4
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- Ubuntu Python 3.9 installation error (sha256 mismatch) HOT 3
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- Encountering the error "RuntimeError: Registration failed with error code 1", when MRA images and T1-weighted images are co-registered with "SyN" HOT 11
- ANTsPy crashes Python when registering two images HOT 4
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- Support for HDF5/NWB HOT 1
- Difference between `ants.apply_transforms` and `transform.apply_to_image` with multiple transforms HOT 3
- An question about the return results of ants.registration HOT 6
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