Ralph Müller


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Last Name

Müller

First Name

Ralph

Organisational unit

03565 - Müller, Ralph / Müller, Ralph

Search Results

Publications 1 - 10 of 661
  • Meier, Matias; Vogel, Peter; Voide, Romain; et al. (2008)
    Journal of Biomechanics
  • Bone imaging
    Item type: Other Conference Item
    Müller, Ralph (2007)
    Bone
  • Whittier, Danielle E.; Walle, Matthias; Schenk, Denis; et al. (2023)
    Bone
    Background: Recent applications of high-resolution peripheral quantitative computed tomography (HR-pQCT) have demonstrated that changes in local bone remodelling can be quantified in vivo using longitudinal three-dimensional image registration. However, certain emerging applications, such as fracture healing and joint analysis, require larger multi-stack scan regions that can result in stack shift image artifacts. These artifacts can be detrimental to the accurate alignment of the bone structure across multiple timepoints. The purpose of this study was to establish a multi-stack registration protocol for evaluating longitudinal HR-pQCT images and to assess the accuracy and precision error in comparison with measures obtained using previously established three-dimensional longitudinal registration. Methods: Three same day multi-stack HR-pQCT scans of the radius (2 stacks in length) and tibia (3 stacks in length) were obtained from 39 healthy individuals who participated in a previous reproducibility study. A fully automated multi-stack registration algorithm was developed to re-align stacks within a scan by leveraging slight offsets between longitudinal scans. Stack shift severity before and after registration was quantified using a newly proposed stack-shift severity score. The false discovery rate for bone remodelling events and precision error of bone morphology and micro-finite element analysis parameters were compared between longitudinally registered scans with and without the addition of multi-stack registration. Results: Most scans (82 %) improved in stack alignment or maintained the lowest stack shift severity score when multi-stack registration was implemented. The false discovery rate of bone remodelling events significantly decreased after multi-stack registration, resulting in median false detection of bone formation and resorption fractions between 3.2 to 7.5 % at the radius and 3.4 to 5.3 % at the tibia. Further, precision error was significantly reduced or remained unchanged in all standard bone morphology and micro-finite element analysis parameters, except for total and trabecular cross-sectional areas. Conclusion: Multi-stack registration is an effective strategy for accurately aligning multi-stack HR-pQCT scans without modification of the image acquisition protocol. The algorithm presented here is a viable approach for performing accurate morphological analysis on multi-stack HR-pQCT scans, particularly for advanced application investigating local bone remodelling in vivo.
  • Non invasive evaluation of bone strength
    Item type: Other Conference Item
    Müller, Ralph (2011)
    Osteoporosis International
  • Schulte, Friederike A.; Ruffoni, Davide; Lambers, Floor M.; et al. (2013)
    PLoS ONE
    Bone is able to react to changing mechanical demands by adapting its internal microstructure through bone forming and resorbing cells. This process is called bone modeling and remodeling. It is evident that changes in mechanical demands at the organ level must be interpreted at the tissue level where bone (re)modeling takes place. Although assumed for a long time, the relationship between the locations of bone formation and resorption and the local mechanical environment is still under debate. The lack of suitable imaging modalities for measuring bone formation and resorption in vivo has made it difficult to assess the mechanoregulation of bone three-dimensionally by experiment. Using in vivo micro-computed tomography and high resolution finite element analysis in living mice, we show that bone formation most likely occurs at sites of high local mechanical strain (p<0.0001) and resorption at sites of low local mechanical strain (p<0.0001). Furthermore, the probability of bone resorption decreases exponentially with increasing mechanical stimulus (R2 = 0.99) whereas the probability of bone formation follows an exponential growth function to a maximum value (R2 = 0.99). Moreover, resorption is more strictly controlled than formation in loaded animals, and ovariectomy increases the amount of non-targeted resorption. Our experimental assessment of mechanoregulation at the tissue level does not show any evidence of a lazy zone and suggests that around 80% of all (re)modeling can be linked to the mechanical micro-environment. These findings disclose how mechanical stimuli at the tissue level contribute to the regulation of bone adaptation at the organ level.
  • van Lenthe, G. Harry; Voide, Romain; Boyd, Steven K.; et al. (2008)
    Bone
  • Melton, L.J.; Christen, D.; Riggs, B.L.; et al. (2010)
    Osteoporosis International
  • Uebersax, Lorenz; Hagenmüller, Henri; Hofmann, Sandra; et al. (2006)
    Tissue Engineering
  • Gabet, Yankel; Kohavi, David; Levy, J.; et al. (2005)
    Journal of Bone and Mineral Research
  • Arbenz, Peter; van Lenthe, G. Harry; Mennel, Uche; et al. (2006)
Publications 1 - 10 of 661