@article {620,
	title = {Computational Stent Placement in Transcatheter Aortic Valve Implantation},
	journal = {Lecture Notes in Computer Science - Biomedical Simulation (ISBMS)},
	volume = {8789},
	year = {2014},
	pages = {95-105},
	author = {Russ, Christoph and Hopf, Raoul and S{\"u}ndermann, Simon and Born, Silvia and Hirsch, Sven and Volkmar Falk and Sz{\'e}kely, Gabor and Gessat, Michael}
}
@proceedings {613,
	title = {Patterns in deformation and contact force of implanted aortic valve stents},
	year = {2014},
	author = {Born, Silvia and Gessat, Michael and Simon H. S{\"u}ndermann and Raoul Hopf and Carlos E. Ruiz and Volkmar Falk}
}
@article {612,
	title = {Stent Maps - Comparative Visualization for the Prediction of Adverse Events of Transcatheter Aortic Valve Implantations},
	journal = {IEEE TVCG (Proc. of IEEE VIS)},
	volume = {20},
	year = {2014},
	abstract = {Transcatheter aortic valve implantation (TAVI) is a minimally-invasive method for the treatment of aortic valve stenosis in patients with high surgical risk. Despite the success of TAVI, side effects such as paravalvular leakages can occur postoperatively. The goal of this project is to quantitatively analyze the co-occurrence of this complication and several potential risk factors such as stent shape after implantation, implantation height, amount and distribution of calcifications, and contact forces between stent and surrounding structure. In this paper, we present a two-dimensional visualization (stent maps), which allows (1) to comprehensively display all these aspects from CT data and mechanical simulation results and (2) to compare different datasets to identify patterns that are typical for adverse effects. The area of a stent map represents the surface area of the implanted stent {\textendash} virtually straightened and uncoiled. Several properties of interest, like radial forces or stent compression, are displayed in this stent map in a heatmaplike fashion. Important anatomical landmarks and calcifications are plotted to show their spatial relation to the stent and possible correlations with the color-coded parameters. To provide comparability, the maps of different patient datasets are spatially adjusted according to a corresponding anatomical landmark. Also, stent maps summarizing the characteristics of different populations (e.g. with or without side effects) can be generated. Up to this point several interesting patterns have been observed with our technique, which remained hidden when examining the raw CT data or 3D visualizations of the same data. One example are obvious radial force maxima between the right and non-coronary valve leaflet occurring mainly in cases without leakages. These observations confirm the usefulness of our approach and give starting points for new hypotheses and further analyses. Because of its reduced dimensionality, the stent m- p data is an appropriate input for statistical group evaluation and machine learning methods.},
	doi = {10.1109/TVCG.2014.2346459},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6875945},
	author = {Born, Silvia and Simon H. S{\"u}ndermann and Christoph Russ and Carlos E. Ruiz and Volkmar Falk and Gessat, Michael}
}
@proceedings {619,
	title = {Vortex Detection in 4DMRI Data: Using Proper Orothogonal Decomposition for Improved Noise Robustness},
	year = {2014},
	pages = {127-131},
	author = {Carnecky, Robert and Brunner, Thomas and Born, Silvia and Waser, J{\"u}rgen and Heine, Christian and Ronny Peikert}
}
@proceedings {500,
	title = {Illustrative Visualization of Cardiac and Aortic Blood Flow from 4D MRI Data},
	year = {2013},
	pages = {129-136},
	address = {Sydney},
	isbn = {9781467347990},
	author = {Born, Silvia and Markl, Michael and Gutberlet, Matthias and Gerik Scheuermann}
}
@article {526,
	title = {Visual Analysis of Cardiac 4D MRI Blood Flow Using Line Predicates},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {19},
	year = {2013},
	pages = {900-912},
	issn = {1077-2626},
	doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.318},
	author = {Born, Silvia and Pfeifle, Matthias and Markl, Michael and Gutberlet, Matthias and Gerik Scheuermann}
}
@article {485,
	title = {Extraction of airways from CT (EXACT{\textquoteright}09)},
	journal = {IEEE Trans. Med. Imaging},
	volume = {31},
	year = {2012},
	pages = {2093{\textendash}2107},
	abstract = {This paper describes a framework for establishing a reference airway tree segmentation, which was used to quantita- tively evaluate fifteen different airway tree extraction algorithms in a standardized manner. Because of the sheer difficulty involved in manually constructing a complete reference standard from scratch, we propose to construct the reference using results from all algorithms that are to be evaluated. We start by subdividing each segmented airway tree into its individual branch segments. Each branch segment is then visually scored by trained observers to determine whether or not it is a correctly segmented part of the airway tree. Finally, the reference airway trees are constructed by taking the union of all correctly extracted branch segments. Fifteen airway tree extraction algorithms from different research groups are evaluated on a diverse set of twenty chest computed tomography (CT) scans of subjects ranging from healthy vol- unteers to patients with severe pathologies, scanned at different sites, with different CT scanner brands, models, and scanning protocols. Three performance measures covering different aspects of segmentation quality were computed for all participating algorithms. Results from the evaluation showed that no single algorithm could extract more than an average of 74\% of the total length of all branches in the reference standard, indicating substantial differences between the algorithms. A fusion scheme that obtained superior results is presented, demonstrating that there is complementary information provided by the different algorithms and there is still room for further improvements in airway segmentation algorithms.},
	url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=6249784},
	author = {Lo, Pechin and van Ginneken, Bram and Reinhardt, Joseph M. and Yavarna, Tarunashree and de Jong, Pim A. and Irving, Benjamin and Fetita, Catalin I. and Ortner, Margarete and Pinho, Romulo and Sijbers, Jan and Feuerstein, Marco and Fabijanska, Anna and Bauer, Christian and Beichel, Reinhard and Mendoza, Carlos S. and Wiemker, Rafael and Lee, Jaesung and Reeves, Anthony P. and Born, Silvia and Weinheimer, Oliver and van Rikxoort, Eva M. and Tschirren, Juerg and Mori, Kensaku and Odry, Benjamin and Naidich, David P. and Hartmann, Ieneke and Hoffman, Eric A. and Prokop, Mathias and Pedersen, Jesper Johannes Holst and de Bruijne, Marleen}
}
@conference {481,
	title = {Visual 4D MRI Blood Flow Analysis with Line Predicates},
	booktitle = {IEEE Pacific Visualization},
	year = {2012},
	abstract = {4D MRI is an in vivo flow imaging modality which has the potential to significantly enhance diagnostics and therapy of cardiovascular diseases. However, current analysis methods demand too much time and expert knowledge in order to apply 4D MRI in the clinics or larger clinical studies. One missing piece are methods allowing to gain a quick overview of the flow data{\textquoteright}s main properties. We present a line predicate approach that sorts precalculated integral lines, which capture the complete flow dynamics, into bundles with similar properties. We introduce several streamline and pathline predicates that allow to structure the flow according to various features useful for blood flow analysis, such as, e.g., velocity distribution, vortices, and flow paths. The user can combine these predicates flexibly and by that create flow structures that help to gain overview and carve out special features of the current dataset. We show the usefulness of our approach by means of a detailed discussion of 4D MRI datasets of healthy and pathological aortas.},
	author = {Born, Silvia and Pfeifle, Matthias and Markl, Michael and Gerik Scheuermann}
}
@article {483,
	title = {Computed tomographic assessment of lung weights in trauma patients with early posttraumatic lung dysfunction.},
	journal = {Crit Care},
	volume = {15},
	year = {2011},
	pages = {R71},
	abstract = {Quantitative computed tomography (qCT)-based assessment of total lung weight (Mlung) has the potential to differentiate atelectasis from consolidation and could thus provide valuable information for managing trauma patients fulfilling commonly used criteria for acute lung injury (ALI). We hypothesized that qCT would identify atelectasis as a frequent mimic of early posttraumatic ALI.},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/21352529},
	author = {Reske, Alexander and Reske, Alexander and Heine, Till and Spieth, Peter and Rau, Anna and Seiwerts, Matthias and Busse, Harald and Gottschaldt, Udo and Schreiter, Dierk and Born, Silvia and Gama De Abreu, Marcelo and Josten, Christoph and Wrigge, H and Amato, Marcelo B P}
}
@proceedings {486,
	title = {Extracting the Fine Structures of the Left Cardiac Ventricle in 4D CT Data - A Semi-Automatic Segmentation Pipeline},
	year = {2011},
	publisher = {Springer},
	address = {Berlin, Heidelberg},
	isbn = {978-3-642-19334-7},
	doi = {10.1007/978-3-642-19335-4},
	url = {http://www.springerlink.com/index/10.1007/978-3-642-19335-4},
	author = {Dinse, Juliane and Wellein, Daniela and Pfeifle, Matthias and Born, Silvia and Noack, Thilo and Gutberlet, Matthias and Lehmkuhl, Lukas and Burgert, Oliver and Preim, B.}
}
@article {490,
	title = {Extrapolation in the analysis of lung aeration by computed tomography: a validation study.},
	journal = {Crit Care},
	volume = {15},
	year = {2011},
	pages = {R279},
	abstract = {INTRODUCTION: Computed tomography (CT) is considered the gold standard for quantification of global or regional lung aeration and lung mass. Quantitative CT, however, involves the exposure to ionizing radiation and requires manual image processing. We recently evaluated an extrapolation method which calculates quantitative CT parameters characterizing the entire lung from only ten reference CT-slices thereby reducing radiation exposure and analysis time. We hypothesized that this extrapolation method could be further validated using CT-data from pigs and sheep, which have a different thoracic anatomy. METHODS: We quantified volume and mass of the total lung and differently aerated lung compartments in 168 ovine and 55 porcine whole-lung CTs covering lung conditions from normal to gross deaeration. Extrapolated volume and mass parameters were compared to the respective values obtained by whole-lung analysis. We also tested the accuracy of extrapolation for all possible numbers of CT slices between 15 and 5. Bias and limits of agreement (LOA) were analyzed by the Bland-Altman method. RESULTS: For extrapolation from ten reference slices, bias (LOA) for the total lung volume and mass of sheep were 18.4 (-57.2 to 94.0) ml and 4.2 (-21.8 to 30.2) grams, respectively. The corresponding bias (LOA) values for pigs were 5.1 (-55.2 to 65.3) ml and 1.6 (-32.9 to 36.2) grams, respectively. All bias values for differently aerated lung compartments were below 1\% of the total lung volume or mass and the LOA never exceeded +/-2.5\%. Bias values diverged from zero and the LOA became considerably wider when less than ten reference slices were used. CONCLUSIONS: The extrapolation method appears robust against variations in thoracic anatomy which further supports its accuracy and potential usefulness for clinical and experimental application of quantitative CT.},
	issn = {1466609X},
	doi = {10.1186/cc10563},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/22112625},
	author = {Reske, Alexander and Rau, Anna and Reske, Alexander and Koziol, Manja and Gottwald, Beate and Alef, Michaele and Ionita, Jean-Claude and Spieth, Peter and Hepp, Pierre and Seiwerts, Matthias and Beda, Alessandro and Born, Silvia and Gerik Scheuermann and Amato, Marcelo B P and Wrigge, H}
}
@article {489,
	title = {A Pipeline for Interactive Cortex Segmentation},
	journal = {Comput Sci Res Dev},
	volume = {26},
	year = {2011},
	pages = {87{\textendash}96},
	author = {Wellein, Daniela and Born, Silvia and Pfeifle, Matthias and Duffner, Frank and Bartz, Dirk}
}
@proceedings {497,
	title = {3D Visualization for the Surgical Planning Unit},
	year = {2010},
	author = {Born, Silvia and Wellein, Daniela and Bohn, Stefan and Strauss, Gero and Bartz, Dirk}
}
@proceedings {496,
	title = {Augmented Reality in the Neuro-Comrade Project},
	year = {2010},
	author = {Wellein, Daniela and Pfeifle, Matthias and Born, Silvia and Duffner, Frank and Bartz, Dirk}
}
@article { BWF*:2010,
	title = {Illustrative Stream Surfaces},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {16},
	number = {6},
	year = {2010},
	pages = {1329-1338},
	author = {Born, Silvia and Alexander Wiebel and Friedrich, Jan and Gerik Scheuermann and Bartz, Dirk}
}
@proceedings {491,
	title = {Neurosurgical Intervention Planning with VolV},
	year = {2010},
	author = {Born, Silvia and Wellein, Daniela and Rhone, Peter and Pfeifle, Matthias and Friedrich, Jan and Bartz, Dirk}
}
@proceedings {495,
	title = {Segmentation-enhanced registration of angiography data},
	year = {2010},
	publisher = {Springer Verlag},
	address = {Berlin},
	isbn = {978-3642119675},
	author = {Born, Silvia and Wellein, Daniela and Z{\"o}llner, Antje and Bartz, Dirk}
}
@conference { BJH*:2009,
	title = {Multimodal Visualization of DTI and fMRI Data Using Illustrative Methods},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2009},
	year = {2009},
	pages = {6-10},
	publisher = {Springer},
	organization = {Springer},
	author = {Born, Silvia and Jainek, Werner and Mario Hlawitschka and Gerik Scheuermann and Tantakis, C. and Meixensberger, J. and Bartz, Dirk}
}
@conference {482,
	title = {Three-Step Segmentation of the Lower Airways with Advanced Leakage-Control},
	booktitle = {The Second International Workshop On Pulmonary Image Analysis (poster)},
	year = {2009},
	author = {Born, Silvia and Iwamaru, Dirk and Pfeifle, Matthias and Bartz, Dirk}
}
@conference {487,
	title = {Bildanalyse, Visualisierung und Modellerstellung f{\"u}r die Implantatplanung im Mittelohr},
	booktitle = {Simulation and Visualization},
	year = {2008},
	publisher = {SCS Publishing House e.V},
	organization = {SCS Publishing House e.V},
	address = {Magdeburg, Germany},
	abstract = {Die Tympanoplastik ist ein h{\"a}ufiger Eingriff in der Mittelohr-Chirurgie, bei dem Unter- brechungen in der Geh{\"o}rkn{\"o}chelchenkette durch unterschiedliche Arten von Prothesen ersetzt werden k{\"o}nnen. F{\"u}r die pr{\"a}operative Planung dieses Eingriffs soll eine Compu- terunterst{\"u}tzung entwickelt werden, die im Vorfeld der Operation die Analyse der in- dividuellen Patientenanatomie sowie die Auswahl eines geeigneten Implantattyps und einer sinnvollen Implantatpositionierung unterst{\"u}tzt. Zur Untersuchung der M{\"o}glich- keiten eines solchen Planungssystems wird am Beispiel eines hochaufgel{\"o}sten Compu- tertomographiedatensatzes (HRCT) eines Patienten ein Workflow f{\"u}r diese Computer- unterst{\"u}tzung entwickelt. Dabei werden die f{\"u}r die Planung relevanten anatomischen Strukturen segmentiert (Bildanalyse) und anschlie{\ss} end visualisiert. Davon ausgehend wird ein patientenindividuelles Finite-Elemente-Modell der Mittelohranatomie erstellt, was in weiterf{\"u}hrenden Arbeiten zur Simulation der Schallleitung nach der Rekonstruk- tion eingesetzt werden soll.},
	isbn = {3-936150-53-2},
	author = {Dornheim, Jana and Born, Silvia and Zachow, Stefan and Gessat, Michael and Wellein, Daniela and Strauss, Gero and Preim, B. and Bartz, Dirk}
}
@conference { BHW*:2008,
	title = {Design und Anwendung einer multimodalen Visualisierung morphologischer und funktioneller Daten},
	booktitle = {Tagungsband der 7. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer- und Roboterassistierte Chirurgie e.V.},
	year = {2008},
	pages = {81ff.},
	publisher = {CURAC},
	organization = {CURAC},
	author = {Born, Silvia and Mario Hlawitschka and Wellein, Daniela and Trantakis, C. and Gerik Scheuermann and K{\"u}hn, A. and Bartz, Dirk},
	editor = {Bartz, Dirk and Bohn, Stefan and Hoffmann, J.}
}
@conference {484,
	title = {Hatch Textures for Virtual Endoscopy},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin},
	year = {2008},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin, Germany},
	isbn = {978-3-540-78639-9},
	author = {Schaller, Christine and Wellein, Daniela and Born, Silvia and Bartz, Dirk}
}
@article {488,
	title = {Illustrative Hybrid Visualization and Exploration of Anatomical and Functional Brain Data},
	journal = {Comput Graph Forum},
	volume = {27},
	year = {2008},
	pages = {855{\textendash}862},
	abstract = {Common practice in brain research and brain surgery involves the multi-modal acquisition of brain anatomy and brain activation data. These highly complex three-dimensional data have to be displayed simultaneously in order to convey spatial relationships. Unique challenges in information and interaction design have to be solved in order to keep the visualization sufficiently complete and uncluttered at the same time. The visualization method presented in this paper addresses these issues by using a hybrid combination of polygonal rendering of brain structures and direct volume rendering of activation data. Advanced rendering techniques including illustrative display styles and ambient occlusion calculations enhance the clarity of the visual output. The presented rendering pipeline produces real-time frame rates and offers a high degree of configurability. Newly designed interaction and measurement tools are provided, which enable the user to explore the data at large, but also to inspect specific features closely. We demonstrate the system in the context of a cognitive neurosciences dataset. An initial informal evaluation shows that our visualization method is deemed useful for clinical research.},
	issn = {01677055},
	doi = {10.1111/j.1467-8659.2008.01217.x},
	url = {http://doi.wiley.com/10.1111/j.1467-8659.2008.01217.x},
	author = {Jainek, Werner and Born, Silvia and Bartz, Dirk and Stra{\ss}er, Wolfgang and Fischer, Jan}
}
@conference {494,
	title = {Increasing Depth Perception In Virtual Endoscopy},
	booktitle = {Computer Aided Surgery around the Head (CAS-H)},
	year = {2008},
	author = {Schaller, Christine and Wellein, Daniela and Born, Silvia and Bartz, Dirk}
}
@conference {493,
	title = {Visualization Of Middle Ear Anatomy For Ossicle Implant Planning},
	booktitle = {Computer Aided Surgery around the Head (CAS-H)},
	year = {2008},
	address = {Leipzig},
	author = {Born, Silvia and Wellein, Daniela and Strau{\ss}, Gero and Bartz, Dirk}
}
@conference {492,
	title = {VolV-Eine OpenSource-Plattform f{\"u}r die medizinische Visualisierung},
	booktitle = {Proc. CURAC},
	year = {2007},
	keywords = {erweiterte realit{\"a}t, fmrt, segmentierung, virtuelle endoskopie, visualisierung},
	url = {http://scholar.google.com/scholar?hl=en\&btnG=Search\&q=intitle:VolV+{\textendash}+Eine+OpenSource-Plattform+f{\"u}r+die+medizinische+Visualisierung\#0},
	author = {Pfeifle, Matthias and Born, Silvia and Fischer, Jan and Duffner, Frank and Hoffmann, J. and Bartz, Dirk}
}
