Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey
Various applications in medicine require geometric models of the underlying blood vessel networks. This ranges from anatomical visualizations, via surgical training systems, to machine learning-based anatomical segmentation frameworks. Especially the latter require large amounts of data. However, bo...
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2025-01-01
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Online Access: | https://ieeexplore.ieee.org/document/10858140/ |
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author | Nikolaus Rauch Matthias Harders |
author_facet | Nikolaus Rauch Matthias Harders |
author_sort | Nikolaus Rauch |
collection | DOAJ |
description | Various applications in medicine require geometric models of the underlying blood vessel networks. This ranges from anatomical visualizations, via surgical training systems, to machine learning-based anatomical segmentation frameworks. Especially the latter require large amounts of data. However, both manual segmentation of vascular imaging data, as well as hand-crafting of vessel trees by 3D modellers is tedious and time-consuming. As a possible remedy, approaches for automated synthesis of vessel trees have been proposed in the past. These differ in controllabity by a user, the parameters affecting the visual results, and the computational performance. Therefore, in this paper we provide a survey of state-of-the-art methods for blood vessel synthesis, with a focus on user-control. We introduce several selected key approaches, survey options for steering the outcome, and discuss advantages and disadvantages for achieving certain characteristics of the synthesized trees. In the end, we aim to provide insights into optimizing and selecting vascular synthesis models for specific medical applications. |
format | Article |
id | doaj-art-09f26497e79f48e997946ba2662aa0dd |
institution | Kabale University |
issn | 2169-3536 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj-art-09f26497e79f48e997946ba2662aa0dd2025-02-07T00:01:36ZengIEEEIEEE Access2169-35362025-01-0113223002231310.1109/ACCESS.2025.353699810858140Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A SurveyNikolaus Rauch0https://orcid.org/0000-0003-1326-709XMatthias Harders1https://orcid.org/0000-0001-7564-6234Department of Computer Science, University of Innsbruck, Innsbruck, AustriaDepartment of Computer Science, University of Innsbruck, Innsbruck, AustriaVarious applications in medicine require geometric models of the underlying blood vessel networks. This ranges from anatomical visualizations, via surgical training systems, to machine learning-based anatomical segmentation frameworks. Especially the latter require large amounts of data. However, both manual segmentation of vascular imaging data, as well as hand-crafting of vessel trees by 3D modellers is tedious and time-consuming. As a possible remedy, approaches for automated synthesis of vessel trees have been proposed in the past. These differ in controllabity by a user, the parameters affecting the visual results, and the computational performance. Therefore, in this paper we provide a survey of state-of-the-art methods for blood vessel synthesis, with a focus on user-control. We introduce several selected key approaches, survey options for steering the outcome, and discuss advantages and disadvantages for achieving certain characteristics of the synthesized trees. In the end, we aim to provide insights into optimizing and selecting vascular synthesis models for specific medical applications.https://ieeexplore.ieee.org/document/10858140/Automatic synthesisblood vesselsuser control |
spellingShingle | Nikolaus Rauch Matthias Harders Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey IEEE Access Automatic synthesis blood vessels user control |
title | Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey |
title_full | Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey |
title_fullStr | Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey |
title_full_unstemmed | Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey |
title_short | Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey |
title_sort | methods for user controlled synthesis of blood vessel trees in medical applications a survey |
topic | Automatic synthesis blood vessels user control |
url | https://ieeexplore.ieee.org/document/10858140/ |
work_keys_str_mv | AT nikolausrauch methodsforusercontrolledsynthesisofbloodvesseltreesinmedicalapplicationsasurvey AT matthiasharders methodsforusercontrolledsynthesisofbloodvesseltreesinmedicalapplicationsasurvey |