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A fully automatized optimization tool based on patient computer tomography (CT) data to calculate local pressure gradient regions to reshape pathological nasal cavity geometry is proposed.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Five anonymous pre- and postoperative CT datasets with nasal septum deviations were used to simulate the airflow through the nasal cavity with lattice Boltzmann (LB) simulations. Pressure gradient regions were detected by a streamline analysis. After shape optimization, the volumetric difference between the two shapes of the nasal cavity yields the estimated resection volume.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>At LB rhinomanometry boundary conditions (bilateral flow rate of 600\u00a0ml\/s), the preliminary study shows a critical pressure gradient of \u22121.1\u00a0Pa\/mm as optimization criterion. The maximum coronal airflow \u0394<jats:italic>A<\/jats:italic>\u00a0\u00a0:=\u00a0cross-section ratio <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\frac{\\mathrm{virtual surgery }}{\\mathrm{post}-\\mathrm{surgery}}$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                    <mml:mfrac>\n                      <mml:mrow>\n                        <mml:mi>virtual<\/mml:mi>\n                        <mml:mi>surgery<\/mml:mi>\n                      <\/mml:mrow>\n                      <mml:mrow>\n                        <mml:mi>post<\/mml:mi>\n                        <mml:mo>-<\/mml:mo>\n                        <mml:mi>surgery<\/mml:mi>\n                      <\/mml:mrow>\n                    <\/mml:mfrac>\n                  <\/mml:math><\/jats:alternatives><\/jats:inline-formula> found close to the nostrils is 1.15. For the patients a pressure drop ratio \u0394\u03a0\u00a0\u00a0:=\u00a0(pre-surgery\u00a0\u2212\u00a0virtual surgery)\/(pre-surgery\u00a0\u2212\u00a0post-surgery) between nostril and nasopharynx of 1.25, 1.72, \u22121.85, 0.79 and 1.02 is calculated.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>LB fluid mechanics optimization of the nasal cavity can yield results similar to surgery for air-flow cross section and pressure drop between nostril and nasopharynx. The optimization is numerically stable in all five cases of the presented study. A limitation of this study is that anatomical constraints (e.g. mucosa) have not been considered.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11548-021-02342-z","type":"journal-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T14:03:47Z","timestamp":1616594627000},"page":"567-578","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Pre-surgery planning tool for estimation of resection volume to improve nasal breathing based on lattice Boltzmann fluid flow simulations"],"prefix":"10.1007","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5026-6251","authenticated-orcid":false,"given":"M.","family":"Berger","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1459-7234","authenticated-orcid":false,"given":"M.","family":"Pillei","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4162-4261","authenticated-orcid":false,"given":"A.","family":"Giotakis","sequence":"additional","affiliation":[]},{"given":"A.","family":"Mehrle","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1296-868X","authenticated-orcid":false,"given":"W.","family":"Recheis","sequence":"additional","affiliation":[]},{"given":"F.","family":"Kral","sequence":"additional","affiliation":[]},{"given":"M.","family":"Kraxner","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5013-6158","authenticated-orcid":false,"given":"H.","family":"Riechelmann","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2833-3224","authenticated-orcid":false,"given":"W.","family":"Freysinger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,24]]},"reference":[{"key":"2342_CR1","unstructured":"Vogt K, Jalowayski AA, Althaus W, Cao C, Han D, Hasse W, Hoffrichter H, M\u00f6sges R, Pallanch J, Shah-Hosseini K, Peksis K, Wernecke K D, Zhang L, Zaproshenko P (2010) 4-Phase-rhinomanometry (4PR)-basics and practice 2010. 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