An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models
Modeling the 'digital twin' of a patient's heart has gained traction in the last years and helps to understand the pathogenic mechanisms of cardiovascular disease to pave the way for personalized therapies. Although a 3D patient-specific model (PSM) can be obtained from computed tomog...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2021-10-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2021-2035 |
| _version_ | 1828099750889521152 |
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| author | Zheng Tianbao Azzolin Luca Sánchez Jorge Dössel Olaf Loewe Axel |
| author_facet | Zheng Tianbao Azzolin Luca Sánchez Jorge Dössel Olaf Loewe Axel |
| author_sort | Zheng Tianbao |
| collection | DOAJ |
| description | Modeling the 'digital twin' of a patient's heart has gained traction in the last years and helps to understand the pathogenic mechanisms of cardiovascular disease to pave the way for personalized therapies. Although a 3D patient-specific model (PSM) can be obtained from computed tomography (CT) or magnetic resonance imaging (MRI), the fiber orientation of cardiac muscle, which significantly affects the electrophysiological and mechanical characteristics of the heart, can hardly be obtained in vivo. Several approaches have been suggested to solve this problem. However, most of them require a considerable amount of human interaction, which is both time-consuming and a potential source of error. In this work, a highly automated pipeline based on a Laplace- Dirichlet-rule-based method (LDRBM) for annotating fibers and anatomical regions in both atria is introduced. The calculated fiber arrangement was regionally compared with anatomical observations from literature and faithfully reproduced clinical and experimental data. |
| first_indexed | 2024-04-11T08:18:23Z |
| format | Article |
| id | doaj.art-a166255125d046c1a14c29b02312b4b2 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-11T08:18:23Z |
| publishDate | 2021-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-a166255125d046c1a14c29b02312b4b22022-12-22T04:35:04ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042021-10-017213613910.1515/cdbme-2021-2035An automate pipeline for generating fiber orientation and region annotation in patient specific atrial modelsZheng Tianbao0Azzolin Luca1Sánchez Jorge2Dössel Olaf3Loewe Axel4Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131Karlsruhe, GermanyModeling the 'digital twin' of a patient's heart has gained traction in the last years and helps to understand the pathogenic mechanisms of cardiovascular disease to pave the way for personalized therapies. Although a 3D patient-specific model (PSM) can be obtained from computed tomography (CT) or magnetic resonance imaging (MRI), the fiber orientation of cardiac muscle, which significantly affects the electrophysiological and mechanical characteristics of the heart, can hardly be obtained in vivo. Several approaches have been suggested to solve this problem. However, most of them require a considerable amount of human interaction, which is both time-consuming and a potential source of error. In this work, a highly automated pipeline based on a Laplace- Dirichlet-rule-based method (LDRBM) for annotating fibers and anatomical regions in both atria is introduced. The calculated fiber arrangement was regionally compared with anatomical observations from literature and faithfully reproduced clinical and experimental data.https://doi.org/10.1515/cdbme-2021-2035patient-specific modelatrial modelingatrial myofiber reconstructionlaplace-dirichlet-rule-basedmethod |
| spellingShingle | Zheng Tianbao Azzolin Luca Sánchez Jorge Dössel Olaf Loewe Axel An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models Current Directions in Biomedical Engineering patient-specific model atrial modeling atrial myofiber reconstruction laplace-dirichlet-rule-basedmethod |
| title | An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models |
| title_full | An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models |
| title_fullStr | An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models |
| title_full_unstemmed | An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models |
| title_short | An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models |
| title_sort | automate pipeline for generating fiber orientation and region annotation in patient specific atrial models |
| topic | patient-specific model atrial modeling atrial myofiber reconstruction laplace-dirichlet-rule-basedmethod |
| url | https://doi.org/10.1515/cdbme-2021-2035 |
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