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多模态图像配准在肝动脉化疗栓塞术计划和患者评估中的应用。

Multimodal image registration for liver radioembolization planning and patient assessment.

机构信息

Fraunhofer Institute for Medical Image Computing, MEVIS, Lübeck, Germany.

Department of Radiology, Städtisches Klinikum Dresden, Dresden, Germany.

出版信息

Int J Comput Assist Radiol Surg. 2019 Feb;14(2):215-225. doi: 10.1007/s11548-018-1877-5. Epub 2018 Oct 22.

Abstract

PURPOSE

Multimodal imaging plays a key role in patient assessment and treatment planning in liver radioembolization. It will reach its full potential for convenient use in combination with deformable image registration methods. A registration framework is proposed for multimodal liver image registration of multi-phase CT, contrast-enhanced late-phase T1, T2, and DWI MRI sequences.

METHODS

A chain of four pair-wise image registrations based on a variational registration framework using normalized gradient fields as distance measure and curvature regularization is introduced. A total of 103 cases of 35 patients was evaluated based on anatomical landmarks and deformation characteristics.

RESULTS

Good anatomical correspondence and physical plausibility of the deformation fields were attained. The global mean landmark errors vary from 3.20 to 5.36 mm, strongly influenced by low resolved images in z-direction. Moderate volume changes are indicated by mean minimum and maximum Jacobian determinants of 0.44 up to 1.88. No deformation foldings were detected. The mean average divergence of the deformation fields range from 0.08 to 0.16 and the mean harmonic energies vary from 0.08 to 0.58.

CONCLUSION

The proposed registration solutions enable the combined use of information from multimodal imaging and provide an excellent basis for patient assessment and primary planning for liver radioembolization.

摘要

目的

多模态成像在肝放射栓塞患者评估和治疗计划中起着关键作用。它将通过与变形图像配准方法相结合而充分发挥其作用。本研究提出了一种用于多期 CT、对比增强晚期 T1、T2 和 DWI MRI 序列的多模态肝图像配准的配准框架。

方法

引入了一种基于归一化梯度场作为距离度量和曲率正则化的变分配准框架的四对图像配准链。基于解剖学标志和变形特征,对 35 例患者的 103 例进行了评估。

结果

获得了良好的解剖对应和变形场的物理合理性。全局平均标志点误差范围为 3.20 至 5.36mm,受 z 方向分辨率低的图像影响较大。平均最小和最大雅可比行列式的适度体积变化范围为 0.44 至 1.88。未检测到变形褶皱。变形场的平均平均散度范围为 0.08 至 0.16,平均调和能量范围为 0.08 至 0.58。

结论

所提出的配准方案能够结合使用多模态成像信息,并为肝放射栓塞患者评估和初步计划提供良好的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd5/6373337/34c02256161a/11548_2018_1877_Fig1_HTML.jpg

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