Automated segmentation and quantification of geometrical and structural parameters of the hip in 3D-MRI data sets: Development of algorithms for reliable data analysis in large cohorts (German National Cohort)

• Applicants: Professor Dr. Mike Notohamiprodjo; Professor Dr. Fritz Schick; Professor Dr.-Ing. Bin Yang
• Subject Area: Nuclear Medicine, Radiotherapy, Radiobiology
• Term: from 2017 to 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 325028047

• Final Report Year: 2020

Final Report Abstract

No abstract available

Publications

• “Automated segmentation of abdominal organs in T1-weighted MR images using a deep learning approach: application on a large epidemiological MR study”, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018
  Küstner, T., Fischer, M., Müller, S., Gutmann, D., Nikolaou, K., Bamberg, F., Yang, B., Schick, F. & Gatidis, S.
  
• “Semantic Organ Segmentation in 3D whole-body MR images”, Proceedings of the IEEE International Conference on Image Processing (ICIP), Athen, Greece, 2018
  Küstner, T., Müller, S., Fischer, M., Weiss J., Nikolaou, K., Bamberg, F., Yang, B., Schick, F. & Gatidis, S.
  (See online at https://doi.org/10.1109/ICIP.2018.8451205)
• “Automated Deep Learning based 3D Hip Segmentation in PD-weighted MR images of a largescale cohort study”, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, May 2019
  Fischer, M., Walter, S., Klinger, C., Küstner, T., Yang, B., Notohamiprodjo, M. & Schick, F.
  
• “Automated organ segmentation of liver and spleen in whole-body T1-weighted MR images: Transfer learning between epidemiological cohort studies”, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, May 2019
  Küstner, T., Müller, S., Fischer, M., Schwartz, M., Martirosian, P., Yang, B., Schick, F. & Gatidis, S.
  
• “Landmark-guided Hip Segmentation in 3D MR Images of a Large-Scale Cohort Study”, Proceedings of the 36th Annual Scientific Meeting ESMRMB 2019, Rotterdam, Netherlands, October 2019
  Fischer M., Schwartz M., Klinger C., Yang B., Notohamiprodjo M., Schick F.
  
• “Region of Interest Localization in Large 3D Medical Volumes by Deep Voting”, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, August 2019
  Fischer M., Hepp T., Plabst U., Yang B., Notohamiprodjo M., Schick F.
  
• “Fully Automated Segmentation and Shape Analysis of the Thoracic Aorta in Non-contrast-enhanced Magnetic Resonance Images of the German National Cohort Study”, Journal of Thoracic Imaging, 2020, 1;35(6):389-398
  Hepp T., Fischer M., Winkelmann M.T., Baldenhofer S., Küstner T., Nikolaou K., Yang B., Gatidis S.
  (See online at https://doi.org/10.1097/rti.0000000000000522)