<div>Hello,</div><div><br></div><div>Is the GPU based block matching algorithm available from this paper ? </div><div><br></div><div><a href="http://www.insight-journal.org/browse/publication/876">http://www.insight-journal.org/browse/publication/876</a></div>
<div><br></div><div><div>The BlockMatchingImageFilter used seems to be multi-threaded only ? </div></div><div><br></div><div>Thank you,</div><div>David Fuentes</div><div><br></div><div><br></div><br><div class="gmail_quote">
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Message: 1<br>
Date: Thu, 23 Aug 2012 12:08:47 -0400<br>
From: MIDAS Journal <<a href="mailto:webmaster@insightsoftwareconsortium.org">webmaster@insightsoftwareconsortium.org</a>><br>
Subject: [Insight-developers] New Submission: An ITK Implementation of<br>
Physics-based Non-rigid Registration Method<br>
To: <a href="mailto:insight-developers@itk.org">insight-developers@itk.org</a><br>
Message-ID: <<a href="mailto:201208231608.q7NG8lC4015282@insight-journal.org">201208231608.q7NG8lC4015282@insight-journal.org</a>><br>
<br>
Hello,<br>
<br>
A new submission has been added to the MIDAS Journal.<br>
<br>
Title: An ITK Implementation of Physics-based Non-rigid Registration Method<br>
Authors: Liu Y., Kot A., Drakopoulos F., Fedorov A., Enquobahrie A., Clatz O., Chrisochoides N.<br>
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.<br>
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Download and review this publication at: <a href="http://hdl.handle.net/10380/3382" target="_blank">http://hdl.handle.net/10380/3382</a><br>
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<br><br></blockquote></div>