Abstract
Because of the great expense and time consumption of image data acquisition for medical equipments such as CT, SPECT, PET, and MRI, ultrasonic imaging is superior in its advantage of real-time probing and friendliness of use, which made it one of the most important diagnostic tools for clinical purposes. In some diagnostic routines, physicians need to build up a 3D model by imagination from all the 2D cross-sectional images for further diagnosis. In this thesis, we focus on the relationship between 2D ultrasound images and 3D cardiac model and develop a series of process to carry out the orientation of 2D sectors in a 3D cardiac model, including model resizing, model slicing, and contour comparing. Each slice from the model is compared with an input ultrasound image, and by using the orientation algorithm, we can calculate the best matching couple to achieve the orientation work. The experimental results show that almost every number of input images matches the number of slice from the model, except some mismatches occur when the orientation may shift to a neighbor slice.