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 <[email protected]> > Subject: [Insight-developers] New Submission: An ITK Implementation of > Physics-based Non-rigid Registration Method > To: [email protected] > Message-ID: <[email protected]> > > 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 > > Generated by the MIDAS Journal > > You are receiving this email because you asked to be informed by the MIDAS > Journal for new submissions. To change your email preference visit > http://www.midasjournal.org/ . > > > >
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