| Name | quickshear JSON |
| Version |
1.2.0
JSON |
| download |
| home_page | |
| Summary | Quickshear Defacing for Neuroimages |
| upload_time | 2023-05-16 15:16:14 |
| maintainer | Christopher J. Markiewicz |
| docs_url | None |
| author | Nakeisha Schimke, John Hale |
| requires_python | |
| license | Copyright (c) 2011, Nakeisha Schimke. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the The University of Tulsa nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
neuroimaging
neuroscience
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
Quickshear
----------
Quickshear uses a skull stripped version of an anatomical images as a reference
to deface the unaltered anatomical image.
Usage::
quickshear.py [-h] anat_file mask_file defaced_file [buffer]
Quickshear defacing for neuroimages
positional arguments:
anat_file filename of neuroimage to deface
mask_file filename of brain mask
defaced_file filename of defaced output image
buffer buffer size (in voxels) between shearing plane and the brain
(default: 10.0)
optional arguments:
-h, --help show this help message and exit
For a full description, see the following paper:
.. [Schimke2011] Schimke, Nakeisha, and John Hale. "Quickshear defacing for neuroimages."
Proceedings of the 2nd USENIX conference on Health security and privacy.
USENIX Association, 2011.
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