| 摘要 |
Methods of making iterative low-dose computed tomography (CT) efficient and applicable to clinical practice employ selection of optimal views for CT reconstruction. By optimizing the views for CT reconstruction, the method of the present invention can generate reconstructions at a pre-specified low radiation dose and/or in near real-time. A feature-oriented framework for a task-driven, object-driven, and dose-minimizing selection of X-ray views is provided, which can utilize models of features to be mapped. The models can be derived from a patient population to minimize the dose per exam and/or from a specific patient to minimize the dose per procedure. The method of the present disclosure can be incorporated into a CT system, or can be embodied in a data storage medium as a program. |
