Image registration routines for Imagedata

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License: MIT License (MIT License)

Author: Erling Andersen

Maintainer: Erling Andersen

Tags python, medical, imaging, image registration

Requires: Python <3.12, >=3.8

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Image registration routines for Imagedata.

Available modules

NPreg

There are three implementations of NPreg:

  • Pure Python/NumPy code. Source code will run on any Python platform.

  • Cython code. Binary code compiled for supported platforms.

  • CuPy/CUDA code. Source code which will run on platforms with a working CuPy and CUDA Toolkit.

Prerequisites

imagedata-registration will benefit from a CUDA GPU. If this is available, install CuPy (https://docs.cupy.dev):

Install CUDA Toolkit: see https://developer.nvidia.com/cuda-toolkit.

There are different options for installing CuPy: https://docs.cupy.dev/en/stable/install.html

Installation

pip install imagedata-registration

Example

Using NPreg module:

from imagedata_registration.NPreg import register_npreg
from imagedata_registration.NPreg.multilevel import CYCLE_NONE, CYCLE_V2

# fixed can be either a Series volume,
# or an index (int) into moving Series
# moving can be a 3D or 4D Series instance
out = register_npreg(fixed, moving, cycle=CYCLE_NONE)
out.seriesDescription += " (NPreg)"

Project details

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License: MIT License (MIT License)

Author: Erling Andersen

Maintainer: Erling Andersen

Tags python, medical, imaging, image registration

Requires: Python <3.12, >=3.8

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