[Insight-developers] Insight-developers Digest, Vol 100, Issue 10

David Fuentes fuentesdt at gmail.com
Mon Feb 11 11:13:48 EST 2013


Hello,

Is the GPU based block matching algorithm available from this paper ?

http://www.insight-journal.org/browse/publication/876

The BlockMatchingImageFilter used seems to be multi-threaded only ?

Thank you,
David Fuentes



Message: 1
> Date: Thu, 23 Aug 2012 12:08:47 -0400
> From: MIDAS Journal <webmaster at insightsoftwareconsortium.org>
> Subject: [Insight-developers] New Submission: An ITK Implementation of
>         Physics-based Non-rigid Registration Method
> To: insight-developers at itk.org
> Message-ID: <201208231608.q7NG8lC4015282 at insight-journal.org>
>
> Hello,
>
> 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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