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A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion

机译:一种简单的惩罚,鼓励局部可释放,并考虑呼吸运动的滑动效果

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摘要

Nonrigid image registration is a key tool in medical imaging. Because of high degrees of freedom in nonrigid transforms,there have been many efforts to regularize the deformation based on some reasonable assumptions. Especially, motioninvertibility and local tissue rigidity have been investigated as reasonable priors in image registration. There have beenseveral papers on exploiting each constraint separately.These constraints are reasonable in respiratory motion estimation because breathing motion is invertible and there aresome rigid structures such as bones. Using both constraints seems very attractive in respiratory motion registration sinceusing invertibility prior alone usually causes bone warping in ribs. Using rigidity prior seems natural and straightforward.However, the “sliding effect” near the interface between rib cage and diaphragm makes problem harder because it is notlocally invertible. In this area, invertibility and rigidity priors have opposite forces.Recently, we proposed a simple piecewise quadratic penalty that encourages the local invertibility of motions. In thiswork we relax this penalty function by using a Geman-type function that allows the deformation to be piecewise smoothinstead of globally smooth. This allows the deformation to be discontinuous in the area of the interface between ribcage and diaphragm. With some small sacrifice of regularity, we could achieve more realistic discontinuous motion neardiaphragm, better data fitting error as well as less bone warping. We applied this Geman-type function penalty only to thex- and y-direction partial derivatives of the z-direction deformation to address the sliding effect. 192 × 128 × 128 3D CTinhale and exhale images of a real patient were used to show the benefits of this new penalty method.
机译:Nonrigid图像注册是医学成像的关键工具。由于非脂肪变换的自由度很高,因此许多努力基于一些合理的假设来规范变形。特别是,在图像配准中被研究了MOISOILINVERTIB和局部组织刚性。分别利用每个约束有目的地。这些约束是呼吸运动估计的合理,因为呼吸运动是可逆的,并且诸如骨骼的刚性结构是不可抗性的。使用这两个约束似乎在呼吸运动注册中似乎非常有吸引力,因为单独的可逆性通常导致肋骨翘曲。使用刚性之前似乎自然和直截了当。然而,肋骨和隔膜之间的界面附近的“滑动效果”会使问题更加难以逆转。在该区域中,可逆性和刚性前沿具有相反的力量。因此,我们提出了一种简单的分段二次惩罚,鼓励局部可处于动议。在这方面,我们通过使用Geman型功能来放松此惩罚功能,允许变形是全球平滑的分段平滑。这允许在纹体和隔膜之间的界面区域中不连续变形。随着规律性的一些小小的牺牲,我们可以实现更现实的不连续运动,近系列,更好的数据拟合误差以及较少的骨骼翘曲。我们仅应用于Z方向变形的X和Y方向部分导数的Geman型功能惩罚,以解决滑动效果。 192×128×128 3D Ctinhale和真实患者的呼气图像被用来展示这种新的惩罚方法的好处。

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