@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}
}
@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}
}
@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 {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 {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}
}
@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}
}
@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 {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}
}
