Studierfenster

{{Use mdy dates|date=January 2012}}

{{Infobox software

| name = StudierFenster

| logo = Studierfenster.png

| logo caption = The Studierfenster Logo

| screenshot =

| caption =

| developer = [https://www.ikim.uk-essen.de/ University Hospital Essen], [https://www.tugraz.at/home/ Graz University of Technology], [https://www.medunigraz.at/ Medical University of Graz]

| released = {{Start date and age|2018}}

| language = English

| operating system = Cross-platform
(Windows, Mac OS X, Linux)

| programming language = C, C++, Python, JavaScript, HTML

| genre = Image processing, scientific visualization, medical imaging, volume rendering, Interactive visualization

| license = GPL, CC BY-SA

| website = {{URL|http://studierfenster.icg.tugraz.at/}}

}}

File:Studierfenster Brain Tumor Segmentation.png

File:Aortic Dissection Inpainting.png

Studierfenster or StudierFenster (SF){{cite web|url=http://www.studierfenster.at|title=Studierfenster|access-date=2020-04-23}}{{Cite journal|last1=Egger|first1=Jan|last2=Wild|first2=Daniel|last3=Weber|first3=Maximilian|last4=Ramirez Bedoya|first4=Christopher|last5=Karner|first5=Florian|last6=Prutsch|first6=Alexander|last7=Schmied|first7=Michael|last8=Dionysio|first8=Christina|last9=Krobath|first9=Dominik|last10=Jin|first10=Yuan|last11=Gsaxner|first11=Christina|last12=Li|first12=Jianning|last13=Pepe|first13=Antonio|date=2022|title=Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform|journal=Journal of Digital Imaging|volume=35 |issue=2 |language=en|location=Cham|publisher=Springer International Publishing|pages=340–355|doi=10.1007/s10278-021-00574-8|pmid=35064372|pmc=8782222}}{{Cite book|last=Weber|first=Maximilian|chapter=A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores |s2cid=199373900|title=2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)|date=2019-10-17|volume=2019|pages=3463–3467|doi=10.1109/EMBC.2019.8856481|pmid=31946624|isbn=978-1-5386-1311-5|language=en-US}} 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{{cite journal |last=Dice |first=Lee R. |title=Measures of the Amount of Ecologic Association Between Species |jstor=1932409 |journal=Ecology |volume=26 |issue=3 |year=1945 |pages=297–302 |doi=10.2307/1932409 |bibcode=1945Ecol...26..297D |s2cid=53335638 }} and Hausdorff distance{{cite book |authorlink=R. Tyrrell Rockafellar |first1=R. Tyrrell |last1=Rockafellar |authorlink2=Roger J-B Wets |first2=Roger J-B |last2=Wets |title=Variational Analysis |publisher=Springer-Verlag |year=2005 |isbn=3-540-62772-3 |page=117 }}), manual slice-by-slice outlining of structures in medical images (segmentationLinda 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.), 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,{{Cite book|last1=Gsaxner|first1=Christina|last2=Pepe|first2=Antonio|last3=Wallner|first3=Jürgen|last4=Schmalstieg|first4=Dieter|last5=Egger|first5=Jan|title=Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 |chapter=Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery |date=2019|editor-last=Shen|editor-first=Dinggang|editor2-last=Liu|editor2-first=Tianming|editor3-last=Peters|editor3-first=Terry M.|editor4-last=Staib|editor4-first=Lawrence H.|editor5-last=Essert|editor5-first=Caroline|editor6-last=Zhou|editor6-first=Sean|editor7-last=Yap|editor7-first=Pew-Thian|editor8-last=Khan|editor8-first=Ali|series=Lecture Notes in Computer Science|volume=11768|language=en|location=Cham|publisher=Springer International Publishing|pages=236–244|doi=10.1007/978-3-030-32254-0_27|isbn=978-3-030-32254-0|s2cid=202620139}} 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,{{Cite thesis|url=https://graz.pure.elsevier.com/en/publications/deep-learning-for-cranial-defect-reconstruction | title= Deep Learning for Cranial Defect Reconstruction|last=Li|first=Jianning|website=Master Thesis, Institute of Computer Graphics and Vision, Graz University of Technology, Austria, pp. 1-68, January 2020.| date= January 2020| type= Master's Thesis}}{{Cite book|arxiv=2006.00980|last1=Li|first1=Jianning|last2=Pepe|first2=Antonio|last3=Gsaxner|first3=Christina|last4=Egger|first4=Jan|title=Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling |chapter=An online platform for automatic skull defect restoration and cranial implant design |editor-first1=Cristian A. |editor-first2=Jeffrey H. |editor-last1=Linte |editor-last2=Siewerdsen |journal=Medical Imaging 2021: Image-Guided Procedures |year=2021|volume=11598 |page=59 |doi=10.1117/12.2580719 |bibcode=2021SPIE11598E..1QL |isbn=9781510640252 |s2cid=219177447 }} the inpainting of aortic dissections{{Cite journal |doi = 10.1016/j.media.2020.101773|title = Detection, Segmentation, Simulation and Visualization of Aortic Dissections: A Review|year = 2020|last1 = Pepe|first1 = Antonio|last2 = Li|first2 = Jianning|last3 = Rolf-Pissarczyk|first3 = Malte|last4 = Gsaxner|first4 = Christina|last5 = Chen|first5 = Xiaojun|last6 = Holzapfel|first6 = Gerhard A.|last7 = Egger|first7 = Jan|journal = Medical Image Analysis|volume = 65|page = 101773|pmid = 32738647|s2cid = 220924735}} with a generative adversarial network,{{Cite web|url=https://cescg.org/wp-content/uploads/2020/03/Prutsch-Design-and-Development-of-a-Web-based-Tool-for-Inpainting-of-Dissected-Aortae-in-Angiography-Images.pdf|title=Design and Development of a Web-based Tool for Inpainting ofDissected Aortae in Angiography Images|last=Prutsch|first=Alexander|access-date=2020-04-25}}{{cite conference|title=Generative Adversarial Networks|first1=Ian |last1=Goodfellow |first2=Jean |last2=Pouget-Abadie |first3=Mehdi |last3=Mirza |first4=Bing |last4=Xu |first5=David |last5=Warde-Farley |first6=Sherjil |last6=Ozair |first7=Aaron |last7=Courville |first8=Yoshua |last8=Bengio |conference= Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014) |pages= 2672–2680 |url= https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf |year=2014}} an automatic aortic landmark detection with deep learning{{cite journal|last=Schmidhuber|first=J.|s2cid=11715509|year=2015|title=Deep Learning in Neural Networks: An Overview|journal=Neural Networks|volume=61|pages=85–117|arxiv=1404.7828|doi=10.1016/j.neunet.2014.09.003|pmid=25462637}} 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{{cite web|url=https://www.tugraz.at/|title=Graz University of Technology|access-date=2020-04-28}} in Austria, and expanded jointly with the Institute for Artificial Intelligence in Medicine (IKIM){{cite web|url=https://www.ikim.uk-essen.de/|title=Artificial Intelligence in Medicine|access-date=2022-02-09}} in Essen, Germany.