Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera
Previous research reported catheter pose-dependent virtual angioscopy images for endovascular aortic repair (EVAR) (phantom studies) without any validation with video images. The goal of our study focused on conducting this validation using a video graphics array (VGA) camera. The spatial relationsh...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2020-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2020-0010 |
| _version_ | 1819120497190764544 |
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| author | García-Vázquez Verónica Matysiak Florian Jäckle Sonja Eixmann Tim Sieren Malte Maria von Haxthausen Felix Ernst Floris |
| author_facet | García-Vázquez Verónica Matysiak Florian Jäckle Sonja Eixmann Tim Sieren Malte Maria von Haxthausen Felix Ernst Floris |
| author_sort | García-Vázquez Verónica |
| collection | DOAJ |
| description | Previous research reported catheter pose-dependent virtual angioscopy images for endovascular aortic repair (EVAR) (phantom studies) without any validation with video images. The goal of our study focused on conducting this validation using a video graphics array (VGA) camera. The spatial relationship between the coordinate system of the virtual camera and the VGA camera was computed with a Hand-Eye calibration so that both cameras produced similar images. A re-projection error of 3.18 pixels for the virtual camera and 2.14 pixels for the VGA camera was obtained with a designed three-dimensional (3D) printed chessboard. Similar images of the vessel (3D printed aorta) were acquired with both cameras except for the different depth. Virtual angioscopy images provide information from inside the vessel that may facilitate the understanding of the tip position of the endovascular tools while performing EVAR. |
| first_indexed | 2024-12-22T06:21:36Z |
| format | Article |
| id | doaj.art-006573e4d1a2460993fac2104375bcde |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-12-22T06:21:36Z |
| publishDate | 2020-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-006573e4d1a2460993fac2104375bcde2022-12-21T18:35:57ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042020-09-016110334210.1515/cdbme-2020-0010cdbme-2020-0010Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) cameraGarcía-Vázquez Verónica0Matysiak Florian1Jäckle Sonja2Eixmann Tim3Sieren Malte Maria4von Haxthausen Felix5Ernst Floris6Institute for Robotics and Cognitive Systems, University of Lübeck, Lübeck, GermanyDivision of Vascular-and Endovascular Surgery, Department of Surgery, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, GermanyFraunhofer MEVIS, Lübeck, GermanyMedizinisches Laserzentrum Lübeck GmbH, Lübeck, GermanyDepartment for Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, GermanyInstitute for Robotics and Cognitive Systems, University of Lübeck, Lübeck, GermanyInstitute for Robotics and Cognitive Systems, University of Lübeck, Lübeck, GermanyPrevious research reported catheter pose-dependent virtual angioscopy images for endovascular aortic repair (EVAR) (phantom studies) without any validation with video images. The goal of our study focused on conducting this validation using a video graphics array (VGA) camera. The spatial relationship between the coordinate system of the virtual camera and the VGA camera was computed with a Hand-Eye calibration so that both cameras produced similar images. A re-projection error of 3.18 pixels for the virtual camera and 2.14 pixels for the VGA camera was obtained with a designed three-dimensional (3D) printed chessboard. Similar images of the vessel (3D printed aorta) were acquired with both cameras except for the different depth. Virtual angioscopy images provide information from inside the vessel that may facilitate the understanding of the tip position of the endovascular tools while performing EVAR.https://doi.org/10.1515/cdbme-2020-0010electromagnetic sensor evar hand-eye calibration vga camera virtual angioscopy images. |
| spellingShingle | García-Vázquez Verónica Matysiak Florian Jäckle Sonja Eixmann Tim Sieren Malte Maria von Haxthausen Felix Ernst Floris Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera Current Directions in Biomedical Engineering electromagnetic sensor evar hand-eye calibration vga camera virtual angioscopy images. |
| title | Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera |
| title_full | Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera |
| title_fullStr | Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera |
| title_full_unstemmed | Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera |
| title_short | Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera |
| title_sort | catheter pose dependent virtual angioscopy images for endovascular aortic repair validation with a video graphics array vga camera |
| topic | electromagnetic sensor evar hand-eye calibration vga camera virtual angioscopy images. |
| url | https://doi.org/10.1515/cdbme-2020-0010 |
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