No description available.

Ultrasound has been widely used in medical diagnostic imaging to image soft tissues. Compared with other methods, ultrasound is superior with no ionizing-radiation, easy portability, low cost, and the capability to provide elasticity information. Conventional ultrasound images provide distorted image information when the ultrasound beam is not normal to the bone structures. In this thesis, we present two imaging algorithms: reverse time migration (RTM) and split-step Fourier migration (SSFM), to image long bones using ultrasound. The methods are tested using simulated data sets. The reconstructed images show accurate cortical thickness measurement and provide the correct fracture dip. The images also clearly illustrate the healing process of a 1-mm wide crack with different in-filled tissue velocities simulating fracture healing. Two in-vitro examples using fractured bones are also presented. The study has showed that the migration methods have great potential to quantify bone fractures and monitor the fracture healing process.