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  4. Catheter pose-dependent virtual angioscopy images visualized on augmented reality glasses
 
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2019
Journal Article
Title

Catheter pose-dependent virtual angioscopy images visualized on augmented reality glasses

Abstract
Fluoroscopy and digital subtraction angiography provide guidance in endovascular aortic repair (EVAR) but introduce radiation exposure and require the administration of contrast agent. To overcome these disadvantages, previous studies proposed to display the pose of an electromagnetically(EM) tracked catheter tip within a three-dimensional virtual aorta on augmented reality (AR) glasses. For further guidance, we propose to create virtual angioscopy images based on the catheter tip pose within the aorta and to display the mon HoloLens. The aorta was segmented from the computed tomography (CT) data using MeVisLab software. A landmark-based registration allowed the calculation of the pose of the EM sensor in the CT coordinate system. The sensor pose was sent to MeVisLab running on a computer and a virtual angioscopy image was created at runtime based on the segmented aorta. When requested by HoloLens, the last encoded image was sent from MeVisLab to the AR glasses via Wi-Fiusing a remote procedure call (gRPC), and then decoded and displayed on HoloLens. For evaluation purposes, the latency of transmitting and displaying the images was measured using two different lossy compression formats (namely JPEG andDXT1). A mean latency of 82 ms was measured for the JPEG format. On the other hand, using the DXT1 format, the mean latency was reduced by 87 %. This study proved the feasibility of creating pose-dependent virtual angioscopy images and displaying them on HoloLens. Additionally, the results showed that the DXT1 format outperformed the JPEG for-mat regarding latency. The virtual angioscopy may add valuable additional information for guidance in radiation-sparing EVAR procedure approaches.
Author(s)
Haxthausen, F. von
Jäckle, S.
Strehlow, J.
Ernst, F.
García-Vázquez, V.
Journal
Current directions in biomedical engineering  
Open Access
DOI
10.1515/cdbme-2019-0073
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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