J
Jan Egger
Researcher at Graz University of Technology
Publications - 201
Citations - 3268
Jan Egger is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 29, co-authored 168 publications receiving 2510 citations. Previous affiliations of Jan Egger include Medical University of Graz & Aalto University.
Papers
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Journal ArticleDOI
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
Jan Egger,Tina Kapur,Andriy Fedorov,Steve Pieper,James V. Miller,Harini Veeraraghavan,Bernd Freisleben,Alexandra J. Golby,Christopher Nimsky,Ron Kikinis +9 more
TL;DR: In this study, 4 physicians segmented glioblastoma multiforme patients in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis.
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Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display
TL;DR: In this study, an AR-based surgical navigation system (AR-SNS) is developed using an optical see-through HMD (head-mounted display), aiming at improving the safety and reliability of the surgery.
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Fiber Tractography Based on Diffusion Tensor Imaging Compared With High-Angular-Resolution Diffusion Imaging With Compressed Sensing: Initial Experience
Daniela Kuhnt,Miriam H. A. Bauer,Jan Egger,Mirco Richter,Tina Kapur,Jens Sommer,Dorit Merhof,Christopher Nimsky +7 more
TL;DR: HARDI+CS seems to be a promising approach for fiber tractography in clinical practice for neuroanatomically complex fiber pathways and in areas of disturbed diffusion, overcoming the problem of long acquisition times.
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HTC Vive MeVisLab integration via OpenVR for medical applications.
Jan Egger,Markus Gall,Juergen Wallner,Pedro de Almeida Germano Boechat,Alexander Hann,Xing Li,Xiaojun Chen,Dieter Schmalstieg +7 more
TL;DR: The OpenVR library is integrated into the Me VisLab platform, allowing a direct and uncomplicated usage of the head mounted display HTC Vive inside the MeVisLab platform.
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3-T MR-guided brachytherapy for gynecologic malignancies.
TL;DR: A methodology to aid applicator placement and treatment planning for 3 Tesla (3-T) MR-guided brachytherapy that was developed specifically for gynecologic cancers and has been used in 18 cases from September 2011 to May 2012 is described.