[Insight-users] New Submission: An ITK Implementation of Physics-based Non-rigid Registration Method

[MIDAS Journal]

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A new submission has been added to the MIDAS Journal.

Title: An ITK Implementation of Physics-based Non-rigid Registration Method
Authors: Liu Y., Kot A., Drakopoulos F., Fedorov A., Enquobahrie A., Clatz O., Chrisochoides N.
Abstract: As part of the ITK v4 project efforts, we have developed ITK filters for physics-based non-rigid registration (PBNRR), which satisfies the following requirements: account for tissue properties in the registration, improve accuracy compared to rigid registration, and reduce execution time using GPU and multi-core accelerators. The implementation has three main components: (1) Feature Point Selection, (2) Block Matching (mapped to both multi-core and GPU processors), and (3) a Robust Finite Element Solver. The use of multi-core and GPU accelerators in ITK v4 provides substantial performance improvements.  For example, in average for the non-rigid registration of brain MRIs, the performance of the Block Matching filter is about 12 times faster when 12 hyperthreaded multi-cores are used and about 540 times faster when the Quadro 6000 with 448 threads is used in Dell Workstation.

Download and review this publication at: http://hdl.handle.net/10380/3382

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