{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:29:10Z","timestamp":1766428150567},"reference-count":21,"publisher":"Walter de Gruyter GmbH","issue":"8","funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["406141926"],"award-info":[{"award-number":["406141926"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,26]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Stereotactic neurosurgery requires a careful planning of cannulae paths to spare eloquent areas of the brain that, if damaged, will result in loss of essential neurological function such as sensory processing, linguistic ability, vision, or motor function. We present an approach based on modelling, simulation, and optimization to set up a computational assistant tool. Thereby, we focus on the modeling of the brain topology, where we construct ellipsoidal approximations of voxel clouds based on processed MRI data. The outcome is integrated in a path-planning problem either via constraints or by penalization terms in the objective function. The surgical planning problem with obstacle avoidance is solved for different types of stereotactic cannulae using numerical simulations. We illustrate our method with a case study using real MRI data.<\/jats:p>","DOI":"10.1515\/auto-2021-0044","type":"journal-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T21:56:28Z","timestamp":1628718988000},"page":"708-721","source":"Crossref","is-referenced-by-count":5,"title":["Neurosurgery planning based on automated image recognition and optimal path design"],"prefix":"10.1515","volume":"69","author":[{"given":"Annika","family":"Hackenberg","sequence":"first","affiliation":[{"name":"Center for Industrial Mathematics (ZeTeM) , University of Bremen , Bremen , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Worthmann","sequence":"additional","affiliation":[{"name":"Optimization-based Control , Technische Universit\u00e4t Ilmenau , Ilmenau , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torben","family":"P\u00e4tz","sequence":"additional","affiliation":[{"name":"Fraunhofer MEVIS , Bremen , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D\u00f6rthe","family":"Keiner","sequence":"additional","affiliation":[{"name":"Universit\u00e4tsklinikum des Saarlandes und Medizinische Fakult\u00e4t des Saarlandes , Saarbr\u00fccken , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joachim","family":"Oertel","sequence":"additional","affiliation":[{"name":"Universit\u00e4tsklinikum des Saarlandes und Medizinische Fakult\u00e4t des Saarlandes , Saarbr\u00fccken , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathrin","family":"Fla\u00dfkamp","sequence":"additional","affiliation":[{"name":"Systems Modeling and Simulation , Saarland University , Saarbr\u00fccken , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2021,8,10]]},"reference":[{"key":"2023033110334155663_j_auto-2021-0044_ref_001","doi-asserted-by":"crossref","unstructured":"T. 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