Data-driven respiratory motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) using groupwise deformable registration.
Data-driven respiratory motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) using groupwise deformable registration.
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DOI：
10.1002/mp.13133
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发表时间：
2018-10
期刊：
影响因子：
3.8
通讯作者：
Hugo GD
中科院分区：
文献类型：
--
作者：
Riblett MJ;Christensen GE;Weiss E;Hugo GD
旨在证明在临床相关图像采集条件下使用纯数据驱动的后验呼吸运动建模和重建补偿方法来改善4D-CBCT图像质量的可行性。评价了利用分组可变形图像配准和运动补偿图像重建算法组合的工作流程。分组配准是一种同时将4D图像的所有时间帧配准到公共参考的方法，而不是一次一个，以便最小化任何单个时间点对所得到的变形模型的全局平滑度或准确度的影响。四维锥形束CT（4D-CBCT）Feldkamp-Davis-Kress（FDK）重建与迭代计算的平均呼吸相位（平均帧）或预选呼吸相位（固定帧）参考图像配准，以模拟呼吸运动。在FDK反投影操作期间，使用所得到的4D变换来使投影数据变形，以创建运动补偿重建。组织界面清晰度（TIS）定义为拟合移动的组织边界的S形曲线的斜率，并用于评价易受运动伪影影响的区域的图像质量。通过评价视图混叠伪影的缓解、TIS、图像降噪和植入基准标记的对比度，对19例临床病例的图像质量改善进行了评估。相对于初始4D-CBCT重建，观察到仅使用固定帧配准的平均（标准差）膈肌TIS恢复率为87%（46%）;使用固定帧和运动补偿重建的平均（标准差）膈肌TIS恢复率为87%（47%）;仅使用平均帧配准的平均（标准差）膈肌TIS恢复率为101%（68%）;使用平均帧和运动补偿重建的平均（标准差）膈肌TIS恢复率为99%（65%）。在采样的软组织ROI中，固定帧配准和运动补偿配准的噪声分别降低了58%，相应的平均帧方法的噪声分别降低了57%和58%。固定帧配准和运动补偿配准方法的局部CNR平均改善分别为93%和98%，相应的平均帧方法的平均改善分别为116%和111%。数据驱动的分组配准和运动补偿重建提供了一种可行的手段，提高质量的4D-CBCT图像在临床条件下采集。在分组配准后添加运动补偿重建明显降低了所研究的临床图像数据集的视图混叠伪影的影响。
To demonstrate the feasibility of using a purely data-driven, a posteriori respiratory motion modeling and reconstruction compensation method to improve 4D-CBCT image quality under clinically relevant image acquisition conditions. Evaluated workflows that utilized a combination of groupwise deformable image registration and motion-compensated image reconstruction algorithms. Groupwise registration is an approach that simultaneously registers all temporal frames of a 4D image to a common reference instead of one at a time so as to minimize the influence of any individual time point on the global smoothness or accuracy of the resulting deformation model. Four-dimensional Cone-Beam CT (4D-CBCT) Feldkamp-Davis-Kress (FDK) reconstructions were registered to either iteratively computed mean respiratory phase (mean-frame) or preselected respiratory phase (fixed-frame) reference images to model respiratory motion. The resulting 4D transformations were used to deform projection data during the FDK backprojection operation to create motion-compensated reconstructions. Tissue Interface Sharpness (TIS) was defined as the slope of a sigmoid curve fit to a mobile tissue boundary and was used to evaluate image quality in regions susceptible to motion artifacts. Image quality improvement was assessed for 19 clinical cases by evaluating mitigation of view-aliasing artifacts, TIS, image noise reduction, and contrast for implanted fiducial markers. Average (standard deviation) diaphragm TIS recovery relative to initial 4D-CBCT reconstructions was observed to be 87% (46%) using fixed-frame registration alone; 87% (47%) using fixed-frame with motion-compensated reconstruction; 101% (68%) using mean-frame registration alone; and 99% (65%) using mean-frame with motion-compensated reconstruction. Noise was reduced in sampled soft-tissue ROIs by 58% for both fixed-frame registration and registration with motion-compensation and by 57% and 58% on average for the corresponding mean-frame methods, respectively. Average improvement in local CNR was observed to be respectively 93% and 98% for fixed-frame registration and registration with motion-compensation methods and 116% and 111% for the corresponding mean-frame methods. Data-driven groupwise registration and motion-compensated reconstruction offer a feasible means of improving the quality of 4D-CBCT images acquired under clinical conditions. The addition of motion compensation reconstruction after groupwise registration visibly reduced the impact of view-aliasing artifacts for the clinical image datasets studied.
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影响因子：
3.8
作者：
Vandemeulebroucke, Jef;Rit, Simon;Sarrut, David
通讯作者：
Sarrut, David
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DOI：
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发表时间：
2002-08-01
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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