Global InformationStudierfenster information
 The Studierfenster Logo | |
| Developer(s) | University Hospital Essen, Graz University of Technology, Medical University of Graz |
|---|---|
| Initial release | 2018 |
| Written in | C, C++, Python, JavaScript, HTML |
| Operating system | Cross-platform (Windows, Mac OS X, Linux) |
| Available in | English |
| Type | Image processing, scientific visualization, medical imaging, volume rendering, Interactive visualization |
| License | GPL, CC BY-SA |
| Website | studierfenster |
Studierfenster or StudierFenster (SF)[1][2][3] is a free, non-commercial open science client/server-based medical imaging processing online framework. It offers capabilities, like viewing medical data (computed tomography (CT), magnetic resonance imaging (MRI), etc.) in two- and three-dimensional space directly in the standard web browsers, like Google Chrome, Mozilla Firefox, Safari, and Microsoft Edge. Other functionalities are the calculation of medical metrics (dice score[4] and Hausdorff distance[5]), manual slice-by-slice outlining of structures in medical images (segmentation[6][7]), manual placing of (anatomical) landmarks in medical image data, viewing medical data in virtual reality, a facial reconstruction and registration of medical data for augmented reality,[8] one click showcases for COVID-19 and veterinary scans, and a Radiomics module.
Other features of Studierfenster are the automatic cranial implant design with a neural network,[9][10] the inpainting of aortic dissections[11] with a generative adversarial network,[12][13] an automatic aortic landmark detection with deep learning[14] in computed tomography angiography scans, and a GrowCut algorithm implementation for image segmentation.
Studierfenster is currently hosted on a server at the Graz University of Technology[15] in Austria, and expanded jointly with the Institute for Artificial Intelligence in Medicine (IKIM)[16] in Essen, Germany.
- ^ "Studierfenster". Retrieved April 23, 2020.
- ^ Egger, Jan; Wild, Daniel; Weber, Maximilian; Ramirez Bedoya, Christopher; Karner, Florian; Prutsch, Alexander; Schmied, Michael; Dionysio, Christina; Krobath, Dominik; Jin, Yuan; Gsaxner, Christina; Li, Jianning; Pepe, Antonio (2022). "Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform". Journal of Digital Imaging. 35 (2). Cham: Springer International Publishing: 340–355. doi:10.1007/s10278-021-00574-8. PMC 8782222. PMID 35064372.
- ^ Weber, Maximilian (October 17, 2019). "A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores". 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2019. pp. 3463–3467. doi:10.1109/EMBC.2019.8856481. ISBN 978-1-5386-1311-5. PMID 31946624. S2CID 199373900.
- ^ Dice, Lee R. (1945). "Measures of the Amount of Ecologic Association Between Species". Ecology. 26 (3): 297–302. Bibcode:1945Ecol...26..297D. doi:10.2307/1932409. JSTOR 1932409. S2CID 53335638.
- ^ Rockafellar, R. Tyrrell; Wets, Roger J-B (2005). Variational Analysis. Springer-Verlag. p. 117. ISBN 3-540-62772-3.
- ^ Linda G. Shapiro and George C. Stockman (2001): “Computer Vision”, pp 279–325, New Jersey, Prentice-Hall, ISBN 0-13-030796-3
- ^ Barghout, Lauren, and Lawrence W. Lee. "Perceptual information processing system." Paravue Inc. U.S. Patent Application 10/618,543, filed July 11, 2003.
- ^ Gsaxner, Christina; Pepe, Antonio; Wallner, Jürgen; Schmalstieg, Dieter; Egger, Jan (2019). "Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery". In Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.). Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science. Vol. 11768. Cham: Springer International Publishing. pp. 236–244. doi:10.1007/978-3-030-32254-0_27. ISBN 978-3-030-32254-0. S2CID 202620139.
- ^ Li, Jianning (January 2020). Deep Learning for Cranial Defect Reconstruction. Master Thesis, Institute of Computer Graphics and Vision, Graz University of Technology, Austria, pp. 1-68, January 2020. (Master's Thesis).
- ^ Li, Jianning; Pepe, Antonio; Gsaxner, Christina; Egger, Jan (2021). "An online platform for automatic skull defect restoration and cranial implant design". In Linte, Cristian A.; Siewerdsen, Jeffrey H. (eds.). Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling. Vol. 11598. p. 59. arXiv:2006.00980. Bibcode:2021SPIE11598E..1QL. doi:10.1117/12.2580719. ISBN 9781510640252. S2CID 219177447.
{{cite book}}:|journal=ignored (help) - ^ Pepe, Antonio; Li, Jianning; Rolf-Pissarczyk, Malte; Gsaxner, Christina; Chen, Xiaojun; Holzapfel, Gerhard A.; Egger, Jan (2020). "Detection, Segmentation, Simulation and Visualization of Aortic Dissections: A Review". Medical Image Analysis. 65: 101773. doi:10.1016/j.media.2020.101773. PMID 32738647. S2CID 220924735.
- ^ Prutsch, Alexander. "Design and Development of a Web-based Tool for Inpainting ofDissected Aortae in Angiography Images" (PDF). Retrieved April 25, 2020.
- ^ Goodfellow, Ian; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua (2014). Generative Adversarial Networks (PDF). Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014). pp. 2672–2680.
- ^ Schmidhuber, J. (2015). "Deep Learning in Neural Networks: An Overview". Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.
- ^ "Graz University of Technology". Retrieved April 28, 2020.
- ^ "Artificial Intelligence in Medicine". Retrieved February 9, 2022.