{"version":1,"kind":"Article","sha256":"","slug":"776","location":"","dependencies":[],"doi":"10.54294/3qemyz","thumbnail":"https://pub.desci.com/ipfs/bafkreifkutgx3tea3cdtcywuapgca6wsuebf2kpjdqscwkpakbn67tckbu","frontmatter":{"title":"An ITK-based Implementation of the Stochastic Rank Correlation (SRC) Metric","abstract":"Recently, Birkfellner et al. proposed a novel image-to-image merit function (stochastic rank correlation, SRC) for robust intensity-based 2D/3D image registration. In this work, we summarize the basic idea of SRC, and present a generic ITK-based implementation of this image-to-image metric including tests for software verification. Moreover, we provide two simple examples that demonstrate the usage of this metric: a) within the native ITK 2D/3D image registration method, and b) within a recently published extended ITK-based 2D/3D registration framework. It is, however, important to note, that this paper neither covers a comprehensive evaluation of SRC, nor a comparison with other metrics. It rather shows that SRC appears to succeed on a femoral and a porcine data set in the course of ITK-based 2D/3D image registration.\n","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["SRC","ITK","stochastic rank correlation","intensity-based","2d/3d image registration","metric"],"authors":[{"name":"Steininger, Philipp","email":"phil.steininger@gmail.com","affiliations":["Institute for Research and Development on Advanced Radiation Technologies (radART), Paracelsus Medical University (PMU), Salzburg, AUSTRIA"],"corresponding":true},{"name":"Neuner, Markus","affiliations":[]},{"name":"Birkfellner, Wolfgang","affiliations":[]},{"name":"Gendrin, Christelle","affiliations":[]},{"name":"Mooslechner, Michaela","affiliations":[]},{"name":"Bloch, Christoph","affiliations":[]},{"name":"Pawiro, Supyianto","affiliations":[]},{"name":"Sedlmayer, Felix","affiliations":[]},{"name":"Deutschmann, Heinrich","affiliations":[]}],"date_submitted":"2010-11-10 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