Simulated Biomechanics of the Lower Limb
As part of the Collaborative Research Centre 760 - "Biomechanics and Biology of Musculoskeletal Regeneration" - the goal of this project is to reconstruct patient specific 3D anatomy models of the human lower limb from medical image data. The central problem addressed by the Collaborative Research Centre (SFB) 760 initiative is the healing and regeneration of bone. The long term goal is the understanding of endogenous formation of biologically and mechanically competent bone. A key question to be answered is: "What are the physical mechanisms that allow the regeneration of such competent bone?" On the way to answering that question, patient specific musculoskeletal function and loading conditions have to be characterised. For that purpose, individual models of the lower limb anatomy are a basic prerequisite.
Publications
2017 |
|||
Juliane Lube, Natasha Flack, Sebastian Cotofana, Orkun Özkurtul, Stephanie Woodley, Stefan Zachow, Niels Hammer | Pelvic and lower extremity physiological cross-sectional areas: An MRI study of the living young and comparison to published research literature | Surgical and Radiologic Anatomy, 39(8), pp. 849-857, 2017 |
BibTeX
DOI |
2013 |
|||
Matthias Bindernagel | Articulated Statistical Shape Models | Master's thesis, Humboldt-Universität zu Berlin, Beate Meffert (Advisor), 2013 |
BibTeX
|
Dagmar Kainmüller | Deformable Meshes for Accurate Automatic Segmentation of Medical Image Data | Doctoral thesis, Universität zu Lübeck, Bernd Fischer †, Jan Modersitzki (Advisors), 2013 |
BibTeX
|
2011 |
|||
Matthias Bindernagel, Dagmar Kainmüller, Heiko Seim, Hans Lamecker, Stefan Zachow, Hans-Christian Hege | An Articulated Statistical Shape Model of the Human Knee | Bildverarbeitung für die Medizin 2011, pp. 59-63, 2011 |
BibTeX
DOI |
2010 |
|||
Dagmar Kainmüller, Hans Lamecker, Heiko Seim, Stefan Zachow, Hans-Christian Hege | Improving Deformable Surface Meshes through Omni-directional Displacements and MRFs | Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), Tianzi Navab, Josien P. W. Pluim, Max Viergever (Eds.), pp. 227-234, Vol.6361, Lecture Notes in Computer Science, 2010 |
BibTeX
DOI |
Heiko Seim, Dagmar Kainmüller, Hans Lamecker, Matthias Bindernagel, Jana Malinowski, Stefan Zachow | Model-based Auto-Segmentation of Knee Bones and Cartilage in MRI Data | Proc. MICCAI Workshop Medical Image Analysis for the Clinic, B. v. Ginneken (Ed.), pp. 215-223, 2010 |
BibTeX
|
2009 |
|||
Heiko Seim, Dagmar Kainmüller, Hans Lamecker, Stefan Zachow | A System for Unsupervised Extraction of Orthopaedic Parameters from CT Data | GI Workshop Softwareassistenten - Computerunterstützung für die medizinische Diagnose und Therapieplanung, pp. 1328-1337, GI-Edition Lecture Notes in Informatics, 2009 |
BibTeX
|
Dagmar Kainmüller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege | An Articulated Statistical Shape Model for Accurate Hip Joint Segmentation | EBMC 2009. Int. Conf. of the IEEE Eng. in Med. and Biol. Society (EMBC), pp. 6345-6351, 2009 |
BibTeX
|
Heiko Seim, Dagmar Kainmüller, Markus O. Heller, Stefan Zachow, Hans-Christian Hege | Automatic Extraction of Anatomical Landmarks from Medical Image Data: An Evaluation of Different Methods | Proc. of IEEE Int. Symposium on Biomedical Imaging (ISBI), pp. 538-541, 2009 |
BibTeX
|
Dagmar Kainmüller, Hans Lamecker, Stefan Zachow | Multi-object Segmentation with Coupled Deformable Models | Annals of the British Machine Vision Association (BMVA), Vol.5, pp. 1-10, 2009 |
BibTeX
|
Dagmar Kainmüller, Hans Lamecker, Heiko Seim, Stefan Zachow | Multi-object segmentation of head bones | MIDAS Journal, 2009 |
BibTeX
|
2008 |
|||
Dagmar Kainmüller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege | Coupling Deformable Models for Multi-object Segmentation | Proc. Int. Symp. on Computational Models for Biomedical Simulation (ISBMS), pp. 69-78, Springer LNCS 5104, 2008 |
BibTeX
DOI |
Dagmar Kainmüller, Hans Lamecker, Stefan Zachow, Markus O. Heller, Hans-Christian Hege | Multi-Object Segmentation with Coupled Deformable Models | Proc. Medical Image Understanding and Analysis, pp. 34-38, 2008 |
BibTeX
|