机译:使用重要性采样加速基于非强度的基于图像的配准
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA;
approximation theory; biomedical MRI; brain; computerised tomography; deformation; diagnostic radiography; gradient methods; image registration; image sampling; lung; medical image processing; optimisation; pneumodynamics; stochastic processes; accelerated nonrigid intensity-based image registration; computed tomography; edge-dependent adaptive sampling distribution; gradient optimization schemes; image deformation; image voxels; inhale-exhale lung data; magnetic resonance brain data; stochastic approximations; Gradient optimization; importance sampling; intensity-based registration; stochastic approximation;
机译:使用门控MR图像基于强度的非刚性配准对呼吸周期中的肝脏运动和变形进行建模。
机译:基于强度的非刚性图像配准的自适应基算法
机译:在CT引导下经皮肝肿瘤消融期间,图形处理单元加速了MR图像到CT图像的非刚性配准
机译:在基于强度的非刚性肺CT注册中统一血管信息
机译:硬件加速的自动三维非刚性图像配准。
机译:使用重要性采样加速基于非强度的基于图像的配准
机译:基于重要性采样的基于加速非刚性基于强度的图像配准