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In particular, existing research towards automated vessel network analysis does not always consider memory requirements of proposed algorithms and often generates a large number of spurious branches for structures consisting of many voxels. Additionally, very often these algorithms have further restrictions such as the limitation to tree topologies or relying on the properties of specific image modalities.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We propose a scalable iterative pipeline (in terms of computational cost, required main memory and robustness) that extracts an annotated abstract graph representation from the foreground segmentation of vessel networks of arbitrary topology and vessel shape. The novel iterative refinement process is controlled by a single, dimensionless, a-priori determinable parameter.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We are able to, for the first time, analyze the topology of volumes of roughly 1\u00a0TB on commodity hardware, using the proposed pipeline. We demonstrate improved robustness in terms of surface noise, vessel shape deviation and anisotropic resolution compared to the state of the art. An implementation of the presented pipeline is publicly available in version 5.1 of the volume rendering and processing engine Voreen.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12859-021-04262-w","type":"journal-article","created":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T20:03:24Z","timestamp":1624737804000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets"],"prefix":"10.1186","volume":"22","author":[{"given":"Dominik","family":"Drees","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron","family":"Scherzinger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9","family":"H\u00e4gerling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Friedemann","family":"Kiefer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7678-9528","authenticated-orcid":false,"given":"Xiaoyi","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,26]]},"reference":[{"key":"4262_CR1","volume-title":"Biomedical image segmentation: advances and trends","year":"2017","unstructured":"El-Baz A, Jiang X, Suri JS, editors. 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Ethics approval had been obtained as part of this preceding study and is documented in the resulting publication\u00a0[]. South West London Research Ethics Committee, London, United Kingdom (REC ref: 05\/Q0803\/257) and ethics committee of the medical faculty of the University of M\u00fcnster (ref: 2008-319-f-S). All procedures involving animals (i.e., procedures performed to obtain datasets Kidney 1\/2\u00a0[]) were carried out in strict accordance with the German animal protection legislation (Tierschutzgesetz und Tierschutzversuchstierverordnung). The protocol was approved (84-02.04.2016.A218) by the Committee on the Ethics of Animal Experiments of the Landesamt f\u00fcr Natur, Umwelt und Verbraucherschutz (LANUV)\u201d","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"The authors declare that they have no competing interests. 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