Plastimatch in NiPype

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  Projects List

Key Investigators

• UNICZ: Paolo Zaffino
• UIowa: Dave Welch, Hans Johnson

Objective

Neuroimaging is a wide field of research in which image registration plays a central role. NiPype provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. We want to add in NiPype the possibility to execute a registration using Plastimatch, in order to take advantage of Plastimatch capability also for the neuroimage analysis executed using NiPype.

Approach, Plan

Write a Python interface to add the possibility to use Plastimatch in NiPype.

Progress

TBD.

References

• Plastimatch 1.6 – Current Capabilities and Future Directions [1] Int Conf Med Image Comput Comput Assist Interv. 2012;15(WS).
• Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python [2] Front. Neuroinform., 22 August 2010