Div. of Nucl. Med. Michigan Univ. Med. Center, Ann Arbor, MI.
IEEE Trans Med Imaging. 1991;10(1):25-39. doi: 10.1109/42.75608.
By exploiting a priori knowledge of arterial shape and smoothness, subpixel accuracy reconstructions are achieved from only four noisy projection images. The method incorporates a priori knowledge of the structure of branching arteries into a natural optimality criterion that encompasses the entire arterial tree. An efficient optimization algorithm for object estimation is presented, and its performance on simulated, phantom, and in vivo magnetic resonance angiograms is demonstrated. It is shown that accurate reconstruction of bifurcations is achievable with parametric models.
通过利用动脉形状和光滑度的先验知识，仅从四个有噪声的投影图像即可实现亚像素精度的重建。该方法将分支动脉结构的先验知识纳入自然最优准则中，涵盖整个动脉树。本文提出了一种用于目标估计的有效优化算法，并在模拟、体模和体内磁共振血管造影图像上展示了其性能。结果表明，使用参数模型可以实现准确的分叉重建。
