Registration inputs for: Deformable image registration based on single or multi-atlas methods for automatic muscle segmentation and the generation of augmented imaging datasets

https://doi.org/10.15131/shef.data.21739733

dataset

posted on 2024-02-21, 19:12 authored by Will Henson, Enrico Dall'AraEnrico Dall'Ara, Claudia MazzaClaudia Mazza

Fixed (red channel), moving (green channel), and fixed segmentations (blue channel) are combined in one easy to use 3D dicom file. There are 20 combinations presented, with each of 5 subjects used as both the fixed and the moving subject. The results.xcel file highlights the numerical results for the automatic segmentation we found using an in house registration toolkit. If one would like to test others, simply download and register the fixed and moving images, and apply the deformation to the blue channel segmentations. See read me for details.

Funding

The study was funded by Engineering and Physical Sciences Research Council (EPSRC) Frontier Multisim Grant (EP/K03877X/1 and EP/S032940/1)

History

Related Materials

1.
URL - References https://doi.org/10.1101/2022.08.09.503405
2.
DOI - Is supplement to Deformable image registration based on single or multi-atlas methods for automatic muscle segmentation and the generation of augmented imaging datasets
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URL - Is supplement to Deformable image registration based on single or multi-atlas methods for automatic muscle segmentation and the generation of augmented imaging datasets

Ethics

There is no personal data or any that requires ethical approval

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Data description

The file formats are open or commonly used

Methodology, headings and units

There is a file including methodology, headings and units, such as a readme.txt

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