TY - JOUR
T1 - Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera
AU - García-Vázquez, Verónica
AU - Matysiak, Florian
AU - Jäckle, Sonja
AU - Eixmann, Tim
AU - Sieren, Malte Maria
AU - Von Haxthausen, Felix
AU - Ernst, Floris
N1 - Funding Information:
Research funding: This study was supported by the German Federal Ministry of Education and Research (BMBF, Nav EVAR project, number 13GW0228) and the Ministry of Economic Affairs, Employment, Transport and Technology of Schleswig-Holstein.
Publisher Copyright:
© 2020 Verónica García-Vázquez et al., published by De Gruyter, Berlin/Boston 2020.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/17
Y1 - 2020/9/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85093522813&partnerID=8YFLogxK
U2 - 10.1515/cdbme-2020-0010
DO - 10.1515/cdbme-2020-0010
M3 - Journal articles
AN - SCOPUS:85093522813
SN - 2364-5504
VL - 6
JO - Current Directions in Biomedical Engineering
JF - Current Directions in Biomedical Engineering
IS - 1
M1 - 20200010
ER -
