计算机视觉
计算机科学
人工智能
运动估计
扫描仪
运动(物理)
运动补偿
迭代重建
多层
笛卡尔坐标系
算法
物理
数学
核磁共振
几何学
作者
Daniel Polak,Julian Hoßbach,Daniel Nicolas Splitthoff,Bryan Clifford,Wei‐Ching Lo,Azadeh Tabari,Min Lang,Susie Y. Huang,John Conklin,Lawrence L. Wald,Stephen Cauley
摘要
Purpose To develop a robust retrospective motion‐correction technique based on repeating k‐space guidance lines for improving motion correction in Cartesian 2D and 3D brain MRI. Methods The motion guidance lines are inserted into the standard sequence orderings for 2D turbo spin echo and 3D MPRAGE to inform a data consistency–based motion estimation and reconstruction, which can be guided by a low‐resolution scout. The extremely limited number of required guidance lines are repeated during each echo train and discarded in the final image reconstruction. Thus, integration within a standard k‐space acquisition ordering ensures the expected image quality/contrast and motion sensitivity of that sequence. Results Through simulation and in vivo 2D multislice and 3D motion experiments, we demonstrate that respectively 2 or 4 optimized motion guidance lines per shot enables accurate motion estimation and correction. Clinically acceptable reconstruction times are achieved through fully separable on‐the‐fly motion optimizations (˜1 s/shot) using standard scanner GPU hardware. Conclusion The addition of guidance lines to scout accelerated motion estimation facilitates robust retrospective motion correction that can be effectively introduced without perturbing standard clinical protocols and workflows.
科研通智能强力驱动
Strongly Powered by AbleSci AI