caa a22 4500 467914753 CHVBK 20180406152859.0 cr unu---uuuuu 170328e20061101xx s 000 0 eng 10.1007/s11263-006-7937-2 doi (NATIONALLICENCE)springer-10.1007/s11263-006-7937-2 Comprehensive Cardiovascular Image Analysis Using MR and CT at Siemens Corporate Research [Elektronische Daten] [Thomas O'Donnell, Gareth Funka-Lea, Hüseyin Tek, Marie-Pierre Jolly, Matthias Rasch, Randolph Setser] At Siemens Corporate Research we have created a set of tools for the analysis of MR and CT cardiovascular images in the applications Argus, Vessel View, and Proteus. Argus is designed to assess cardiovascular function by reporting measures of morphology and tissue health using a 2-D approach. Vessel View, a 3-D application, is capable of quantifying vascular integrity and provides tools for segmenting vessels. Lastly, Proteus has functionality for registering 3-D cardiac data sets (e.g., MR and CT). Taken together, these applications allow for a comprehensive analysis of MR and CT cardiovascular studies. Throughout this paper we will illustrate the capabilities of our tools via their application to an actual clinical case. Our contribution lies in combining several computer vision technologies and applying them to practical, real world problems. Springer Science + Business Media, LLC, 2006 medical image analysis nationallicence cardiovascular nationallicence cardiac nationallicence support vector machines nationallicence level sets nationallicence model-based registration nationallicence O'Donnell Thomas Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut Funka-Lea Gareth Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut Tek Hüseyin Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut Jolly Marie-Pierre Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut Rasch Matthias Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut Setser Randolph Department of Diagnostic Radiology, Cleveland Clinic Foundation, 44195, Cleveland, OH aut International Journal of Computer Vision Kluwer Academic Publishers 70/2(2006-11-01), 165-178 0920-5691 70:2<165 2006 70 11263 https://doi.org/10.1007/s11263-006-7937-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-7937-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- O'Donnell Thomas Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Funka-Lea Gareth Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Tek Hüseyin Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Jolly Marie-Pierre Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Rasch Matthias Imaging and Visualization Department, Siemens Corporate Research, 08540, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Setser Randolph Department of Diagnostic Radiology, Cleveland Clinic Foundation, 44195, Cleveland, OH aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 70/2(2006-11-01), 165-178 0920-5691 70:2<165 2006 70 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer