Christian Würslin

Due to the rapid device-side development in radiology, ever larger amounts of data are being acquired in shorter and shorter examination periods. At the same time, the availability of modern imaging systems (e.g., magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), etc.) is increasing, and hence the number of patients being studied. In order to be able to process these amounts of data at all, radiologists must be provided with suitable tools. The spectrum ranges from the complex visualization of three-dimensional structures (for example, automatic segmentation of bones from computed tomography scans) through the execution of routine work such as the volumetry of various organs to decision support procedures in diagnostics and therapy planning.

• Automatic segmentation and quantification of various fat compartments from MRI scans to study the development and prevention of type 2 diabetes mellitus
• Organ volumetry from MRI data sets
• Compensation of intensity inhomogeneities in MRI recordings with high basic field strength (3 Tesla and higher)
• Correcting motion blur in PET using simultaneously acquired MRI scans

• C. Würslin, H. Schmidt, P. Martirosian, C. Brendle, A. Boss, N. F. Schwenzer and L. Stegger 
  Respiratory Motion Correction in Oncologic PET Using T1-Weighted MR Imgagin on a Simultaneous Whole-Body PET/MR System 
  J. Nucl. Med. [Epub ahead of print] 
   
• C. Würslin, F. Springer, B. Yang and F. Schick 
  © Compensation of RF Field and Receiver Coil Induced Inhomogeneity Effects in Abdominal MR Images by A Priori Knowledge on the Human Adipose Tissue Distribution 
  J. Magn. Reson. Imaging, vol. 34, no. 3, pp 716-726, 2011. 
   
• C. Würslin, J. Machann, H. Rempp, C. Claussen, B. Yang and F. Schick 
  © Topography Mapping of Whole Body Adipose Tissue Using A Fully Automated and Standardized Procedure 
  J. Magn. Reson. Imaging, vol. 31, no. 2, pp 430-439, 2010. 
   
• C. Würslin, B. Yang, J. Machann and F. Schick 
  © Automated Segmentation of Adipose Tissue in Magnetic Resonance Images of the Whole Body 
  IEEE Nuclear Science Symposium Conference Record (NSS/MIC) 2009, Orlando, October 2009