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List:       insight-users
Subject:    [ITK-users] New Submission: A patch-based framework for new ITK functionality: Joint fusion, denoisi
From:       Insight Journal <noreply () insightsoftwareconsortium ! org>
Date:       2017-03-16 0:00:11
Message-ID: 20170316000011.8AAC63D620AF () insight-journal ! org
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Hello,

A new submission has been added to the Insight Journal.

Title: A patch-based framework for new ITK functionality: Joint fusion, denoising, \
                and non-local super-resolution
Authors: Tustison N., Avants B., Wang H., Xie L., Coupe P., Yushkevich P., Manjon J.
Abstract: In an earlier Insight Journal article, we introduced an ITK implementation \
of the adaptive patch-based image denoising algorithm described in [3]. We follow-up \
up that offering with a generalized non-local, patch-based ITK class framework and a \
refactored denoising class. In addition, we provide two ITK implementations of \
related, well-known algorithms. The first is a non-local super resolution method \
described in [1, 2]. The second is the multivariate joint label fusion algorithm of \
[4, 5] with additional extensions, denoted as "joint intensity fusion", which will be \
described in a forthcoming manuscript. Accompanying these ITK classes are documented \
programming interfaces which use our previously introduced unique command line \
interface routines. Several 2-D examples on brain imaging data are provided to \
qualitatively demonstrate performance.

Download and review this publication at: http://hdl.handle.net/10380/3570

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