Simulation of Subject Specific Bone Remodeling. (Ph.D. dissertation)
Abastract
Conditions of low bone density (e.g., osteoporosis) are major health concerns nowadays.
Particularly, vertebral compression fracture is one of the severe conditions that affects
the patient's daily functionality and quality of life. The vertebral compression fracture
is mainly caused by overloading on weak cancellous bone structures. Thus an effective
method that measures the loads on the vertebra and predicts the change of cancellous
bone structure under the loads can be very helpful in assisting clinical diagnosis and
treatment of low bone density conditions.
This study demonstrates a simulation method that can eventually be incorporated with
clinical treatment tailored for a particular individual to prevent bone loss and vertebral
compression fractures. This method simulates the bone remodeling process with the
inputs of initial cancellous bone structure, the stress and strain as a result of mechanical
stimulus, and biological factor such as age. To demonstrate the use of the method, this
study conducted the simulation of the bone changes under different physical activities.
The result of the iterative simulation is an optimized cancellous structure, which can be
characterized by a set of bone parameters. The simulation uses optimized algorithms
and parallelization of computing to achieve computing effectiveness and cost efficiency.
Thus, using the simulation, the cancellous structure can be characterized quantitatively
for clinical diagnosis in individual cases, and facilitate informed decisions on a patient's
lifestyle for bone health.
The focus of this project was to develop a tool to reconstruct a 3D geometry from multiple images taken from a single camera. It combines the voxel carving from silhouettes and voxel coloring method in reconstructing a model of the stomach affected by Aortic Aneurysm. The foreground which contains the image of the organ, is separated from the background by calculating an appropriate background model. A voxel model is generated from those images and a triangulated surface model is created using the Marching cube technique.