Gpu Based Rigid 2D/3D Registration Algorithms

Registering per-operative datasets to intra-operative image acquisitions can provide up-to-date information at the treatment site, aiding surgical guidance and other interventions. As three-dimensional intra-procedural image acquisition is uncommon in medical institutions, typically only two-dimensional image datasets can be obtained for such purposes. Although these images lack the spatial detail of volumetric data, they have the advantages of faster acquisition time and reduced amount of radiation exposure to both patients and doctors. Ideally, one can recover the advantages of the volumetric data by aligning the intra-operative 2D images with pre-operative volumes. We take CT dataset and X-ray image as our 3D image and 2D image.In this thesis, we introduce the situation of the medical image registration, the main methods and its validation. And then we focus on the intensity-based 2D/3D registration, which has become a common problem in a variety of medical applications. This method is robust and automatic without manual operations.We propose a 2D/3D registration approach based on GPU(Graphic Process Unit). In order to demonstrate the effectiveness of this GPU based method, we implement our case study by using three clinic datasets in our...