Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera

Author:

García-Vázquez Verónica1,Matysiak Florian2,Jäckle Sonja3,Eixmann Tim4,Sieren Malte Maria5,von Haxthausen Felix1,Ernst Floris1

Affiliation:

1. Institute for Robotics and Cognitive Systems, University of Lübeck , Lübeck , Germany

2. Division of Vascular-and Endovascular Surgery, Department of Surgery, University Hospital Schleswig-Holstein , Campus Lübeck , Lübeck , Germany

3. Fraunhofer MEVIS , Lübeck , Germany

4. Medizinisches Laserzentrum Lübeck GmbH , Lübeck , Germany

5. Department for Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein , Campus Lübeck , Lübeck , Germany

Abstract

Abstract 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.

Funder

German Federal Ministry of Education and Research

Ministry of Economic Affairs, Employment, Transport and Technology of Schleswig-Holstein

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering

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