Research Projects

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Show Contacts: Maurer Michael , Saffari Amir , Schulter Samuel , Seichter Hartmut , Zeisl Bernhard , Lex Alexander , Arth Clemens , Barakonyi István , Bauer Joachim , Beichel Reinhard , Bischof Horst , Bornik Alexander , Reitinger Bernhard , Bauer Christian , Gruber Lukas , Kainz Bernhard , Pirchheim Christian , Wagner Daniel , Kalkofen Denis , Donoser Michael , Elbischger Pierre , Ferstl David , Fraundorfer Friedrich , Reitmayr Gerhard , Godec Martin , Graber Gottfried , Grabner Markus , Grubert Jens , Hartl Andreas , Hauswiesner Stefan , Riemenschneider Hayko , Grabner Helmut , Hirzer Martin , Hofer Manuel , Hoppe Christof , Irschara Arnold , Newman Joseph , Junghanns Sebastian , Khan Inayatullah , Kalkusch Michael , Karner Konrad , Khlebnikov Rostislav , Klaus Andreas , Klopschitz Manfred , Kluckner Stefan , Köstinger Martin , Kontschieder Peter , Pirker Katrin , Kruijff Ernst , Langlotz Tobias , Langs Georg , Leberl Franz , Lee Felix , Leistner Christian , Leitner Raimund , Lenz Martin , Mauthner Thomas , Meixner Philipp , Mendez Erick , Grabner Michael , Heber Markus , Mühl Judith , Mulloni Alessandro , Ober Sandra , Pacher Georg , Partl Christian , Pflugfelder Roman , Pinz Axel , Roth Peter M. , Pock Thomas , Puff Werner , Pan Qi , Ram Surinder , Grasset Raphael , Recky Michal , Regenbrecht Holger , Reinbacher Christian , Rüther Matthias , Rumpler Markus , Santner Jakob , Sareika Markus , Schall Gerhard , Schmalstieg Dieter , Schulz Hans-Jörg , Sormann Mario , Steinberger Markus , Sternig Sabine , Storer Markus , Straka Matthias , Streit Marc , Tatzgern Markus , Nguyen Thanh , Nguyen Thuy , Trobin Werner , Unger Markus , Uray Martina , Urschler Martin , Veas Eduardo , Waldner Manuela , Wendel Andreas , Werlberger Manuel , Winter Martin , Wohlhart Paul , Zach Christopher , Zebedin Lukas , Zollmann Stefanie

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Show Keywords: 3D Computer Vision 3D reconstruction Aerial Vision Augmented Reality Augmented Video Best Paper Award Biometrics Caleydo Computer Graphics Computer Vision Convex Optimization Coordinate transformations detection face Fingerprint Georeferencing GPU GUI HOG Human Computer Interaction Image Labelling Industrial Applications Information Visualization integral imaging Interaction Interaction Design Machine Learning Medical computer vision Medical Visualization Mixed Reality Mobile computing Mobile phone Model Multi-Display Environments Multiple Perspectives Object detection Object recognition Object reconstruction Object Tracking On-Line Learning Robotics Segmentation Shape analysis shape from focus SLAM Software Projects Structure from Motion Surveillance SVM Symmetry Tracking Fusion Tracking, Action Recognition User Interfaces Variational Methods Virtual reality and augmented reality Visual Tracking Visualization

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Title	Abstract	Start	End
IMPPACT - Image-based Multi-scale Physiological Planning for Ablation Cancer Treatment (details)	IMPPACT is a European research project, which develops an intervention planning system for Radiofrequency Ablation of malignant liver tumours. TU Graz is dealing with medical visualization and augmented reality in the project. Problem or Context Radiofrequency Ablation (RFA) is a minimally invasive form to treat cancer without open surgery, by placing a needle inside the malignancy and destroying it through intensive heating. Though the advantages of this approach are obvious, the intervention is currently hard to plan, almost impossible to monitor or assess, and therefore is not the first choice for treatment. Project IMPPACT will develop a physiological model of the liver and simulate the RFA intervention result, accounting for patient specific physiological factors. Closing gaps in the understanding of particular aspects of the RFA treatment by multi-scale studies on cells and animals Transforming microscopic findings and into macroscopic equations Extending the long-established bio-heat equation to incorporate multiple scales Validating results at multiple levels Cross checking validity for human physiology by comparison to images from ongoing patient treatment Visual comparison of simulation and treatment results gathered in animal studies and during patient treatment Extensive validation together with a user-centred software design approach guarantee suitability of the solution for clinical practice Mathematical modelling together with experimental validation lead to a patient specific intervention planning system. read more Expected Results & Impacts IMPPACT will be modelling a physiological organ including the metabolism and patient specific tissue properties. This alone is a huge step forward as compared to the state-of-the-art intervention planning systems that do not address this issue. The IPS will allow prediction of treatment results on a patient specific base. It will therefore bring down the risk of local recurrences and eliminate the nowadays so common repeated treatments of the same tumour, making RFA an as effective treatment as resection.	2008	2011
CranUS - Cranial Ultrasound Simulation (details)	The use of augmented reality in medicine is an important field, especially in teaching and training of sensitive tasks. To support teaching and training of neonatal cranial sonography, an augmented reality simulator was developed. Physical models of a newborn and an ultrasound probe were tracked and their movements displayed in their virtual representation. The head of the newborn model was augmented with a 3D volume, reconstructed from ultrasound images of a real patient. Reconstructing a 3D volume from irregular source data takes a special focus on positioning the images and the subsequent interpolation. Moving the physical model towards each other, the according slices are generated in realtime.	2007	2008