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Investigating compromised bone fracture healing in mouse models using time-lapsed in vivo CT imaging and histological analysis.
Delayed bone healing or failed non-unions account for 5 – 10% of all bone fractures and present a challenging problem in regenerative medicine. The impact of delayed unions or non-unions can be devastating with prolonged rehabilitation, decreased quality of life and significant health care costs. Our lab has conducted fracture healing studies in young and prematurely-aged mouse models with different defect sizes. The aim of this project is to analyse data from mice which exhibit delayed unions and non-unions.
Delayed bone healing or failed non-unions account for 5 – 10% of all bone fractures and present a challenging problem in regenerative medicine. The impact of delayed unions or non-unions can be devastating with prolonged rehabilitation, decreased quality of life and significant health care costs.
Our lab has conducted fracture healing studies in young and aged mouse models with different fracture sizes. In these studies, we use in vivo micro-CT imaging to monitor healing progression of a femur defect over the span of 7 weeks. To date, we have collected CT data of mice which exhibit unions, delayed unions and non-unions (Figure 1). We are interested in comparing how CT parameters of bone healing differ between mice which exhibit different healing progressions. Analysis of these data sets will involve (i) image processing using MATLAB and Python notebooks and (ii) histological / tissue composition analysis.
This is a cross-disciplinary project that will ideally suit a candidate with an interest or experience in musculoskeletal research, image processing and histology.
Delayed bone healing or failed non-unions account for 5 – 10% of all bone fractures and present a challenging problem in regenerative medicine. The impact of delayed unions or non-unions can be devastating with prolonged rehabilitation, decreased quality of life and significant health care costs.
Our lab has conducted fracture healing studies in young and aged mouse models with different fracture sizes. In these studies, we use in vivo micro-CT imaging to monitor healing progression of a femur defect over the span of 7 weeks. To date, we have collected CT data of mice which exhibit unions, delayed unions and non-unions (Figure 1). We are interested in comparing how CT parameters of bone healing differ between mice which exhibit different healing progressions. Analysis of these data sets will involve (i) image processing using MATLAB and Python notebooks and (ii) histological / tissue composition analysis.
This is a cross-disciplinary project that will ideally suit a candidate with an interest or experience in musculoskeletal research, image processing and histology.
We are interested in answering the following:
• How do CT parameters and tissue composition differ between fractures which unite and fractures which exhibit delayed or non-union?
• How are these relationships affected by aging?
• How are these relationships affected by the fracture size?
We are interested in answering the following:
• How do CT parameters and tissue composition differ between fractures which unite and fractures which exhibit delayed or non-union?
• How are these relationships affected by aging?
• How are these relationships affected by the fracture size?