Division of Radiation Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
J Appl Clin Med Phys. 2013 Jan 7;14(1):3834. doi: 10.1120/jacmp.v14i1.3834.
Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. Spatial accuracy of DIR can be evaluated using expert landmark correspondences. Additionally, image differences between the deformed and the target images give a degree of accuracy of DIR algorithms for the same image modality registration. DIR of the normal end-expiration (50%), end-inspiration (0%), midexpiration (30%), and midinspiration image (70%) phases of the 4D CT images was used to correlate the voxels between the respiratory phases. Three DIR algorithms, optical flow (OF), diffeomorphic morphons (DM), and diffeomorphic demons (DD) were validated using a 4D thorax model, consisting of a 4D CT image dataset, along with associated landmarks delineated by a radiologist. Image differences between the deformed and the target images were used to evaluate the degree of registration accuracy of the three DIR algorithms. In the validation of the DIR algorithms, the average target registration error (TRE) for normal end-expiration-to-end-inspiration registration with one standard deviation (SD) for the DIR algorithms was 1.6 ± 0.9 mm (maximum 3.1 mm) for OF, 1.4 ± 0.6 mm (maximum 3.3 mm) for DM, and 1.4 ± 0.7 mm (maximum 3.3 mm) for DD, indicating registration errors were within two voxels. As a reference, the median value of TRE between 0 and 50% phases with rigid registration only was 5.0 mm with one SD of 2.5 mm and the maximum value of 12.0 mm. For the OF algorithm, 81% of voxels were within a difference of 50 HU, and 93% of the voxels were within 100 HU. For the DM algorithm, 69% of voxels were within 50 HU, and 87% within 100 HU. For the DD algorithm, 71% of the voxels were within 50 HU, and 87% within a difference of 100 HU. These data suggest that the three DIR methods perform accurate registrations in the thorax region. The mean TRE for all three DIR methods was less than two voxels suggesting that the registration performed by all methods are equally accurate in the thorax.
变形图像配准(DIR)已被提议用于使用 4D CT 计算肺通气。DIR 的空间准确性可以使用专家标志对应关系进行评估。此外,变形图像和目标图像之间的图像差异为同一图像模态配准的 DIR 算法的准确性提供了一定程度的指示。使用 4D CT 图像的正常呼气末(50%)、吸气末(0%)、中呼气末(30%)和中吸气末(70%)相位的 DIR 对呼吸相位之间的体素进行关联。光学流(OF)、变形形态学(DM)和变形恶魔(DD)三种 DIR 算法通过一个 4D 胸部模型进行了验证,该模型由 4D CT 图像数据集以及由放射科医生描绘的相关标志组成。使用变形图像和目标图像之间的图像差异来评估三种 DIR 算法的注册准确性程度。在 DIR 算法的验证中,对于正常呼气末到吸气末的注册,OF 算法的平均目标配准误差(TRE)为 1.6±0.9mm(最大 3.1mm),DM 算法为 1.4±0.6mm(最大 3.3mm),DD 算法为 1.4±0.7mm(最大 3.3mm),这表明注册误差在两个体素内。作为参考,仅使用刚性注册时 0%至 50%相位之间 TRE 的中位数为 5.0mm,标准差为 2.5mm,最大值为 12.0mm。对于 OF 算法,81%的体素差异在 50HU 以内,93%的体素差异在 100HU 以内。对于 DM 算法,69%的体素差异在 50HU 以内,87%的体素差异在 100HU 以内。对于 DD 算法,71%的体素差异在 50HU 以内,87%的体素差异在 100HU 以内。这些数据表明,三种 DIR 方法在胸部区域都能进行准确的配准。所有三种 DIR 方法的平均 TRE 都小于两个体素,这表明所有方法的注册在胸部都具有相同的准确性。