Difference between revisions of "2012 Summer Project Week:NiftyReg"
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Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]] | Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]] | ||
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain. | Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain. | ||
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation. | Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation. | ||
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==Key Investigators== | ==Key Investigators== | ||
Revision as of 12:56, 1 May 2012
Home < 2012 Summer Project Week:NiftyReg
Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Key Investigators
- University College London: Marc Modat
- BWH: Sonia Pujol
Objective
NiftyReg is an open-source package for rigid, affine and non-linear registration developed the team of Dr. Sebastien Ourselin at the Centre for Medical Imaging Computing, University College London, UK. The objective is to make NiftyReg available in Slicer.
Approach, Plan
Our approach is to develop a CLI module for NiftyReg in Slicer4.
Progress
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
- ITK Module
- Slicer Module -
- Built-in -
- Extension -- commandline YES
- Extension -- loadable
- Other (Please specify)
References
- Modat et al. Fast free-form deformation using graphics processing units. Comput Meth Prog Bio (2010) vol. 98 (3) pp. 278-84
- Daga et al. Accurate Localisation of Optic Radiation during Neurosurgery in an Interventional MRI Suite. IEEE Transactions on Medical Imaging (2012)
- Modat. Parametric non-rigid registration using a stationary velocity field. Mathematical Methods in Biomedical Image Analysis (MMBIA), 2012 IEEE Workshop on (2012) pp. 145 - 150
