可变形图像配准对胸部ct图像三维时间相减的评价。

IF 3.3 Q2 ENGINEERING, BIOMEDICAL International Journal of Biomedical Imaging Pub Date : 2017-01-01 Epub Date: 2017-10-12 DOI:10.1155/2017/3457189
Ping Yan, Yoshie Kodera, Kazuhiro Shimamoto
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引用次数: 3

摘要

目的:对肺部图像进行配准,以减少胸部计算机断层扫描(CT)图像三维(3D)时间减影上的错配伪影,从而增强肺部病变的时间变化,并评估形变图像配准(DIR)后的这些变化。方法:对10例患者采用互信息(MI)肺掩膜仿射成像结合互相关(CC)肺差胚成像进行肺容积配准。使用高级规范化工具(ant),我们使用贪婪对称规范化(贪心SyN)作为转换模型,其中涉及MI-CC-SyN实现。由此产生的位移场被应用于扭曲前一个(移动)图像,随后从当前(固定)图像中减去该图像,得到肺减法图像。结果:平均最小和最大对数雅可比矩阵分别为0.31和3.74。当考虑三维地标距离时,均方根误差从Pfixed到Pmoving的平均20.82 mm变为Pwarped到Pfixed的平均0.5 mm。减影图像中可见肺结节和病变增强的清晰阴影。病灶阴影显示病灶缩小随时间变化。术后保持病变组织形态。结论:DIR(贪心SyN)有效、准确地增强了胸部CT图像的时间变化,减少了时间减影图像的错配伪影。
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Evaluation of Deformable Image Registration for Three-Dimensional Temporal Subtraction of Chest Computed Tomography Images.

Purpose: To perform lung image registration for reducing misregistration artifacts on three-dimensional (3D) temporal subtraction of chest computed tomography (CT) images, in order to enhance temporal changes in lung lesions and evaluate these changes after deformable image registration (DIR).

Methods: In 10 cases, mutual information (MI) lung mask affine mapping combined with cross-correlation (CC) lung diffeomorphic mapping was used to implement lung volume registration. With advanced normalization tools (ANTs), we used greedy symmetric normalization (greedy SyN) as a transformation model, which involved MI-CC-SyN implementation. The resulting displacement fields were applied to warp the previous (moving) image, which was subsequently subtracted from the current (fixed) image to obtain the lung subtraction image.

Results: The average minimum and maximum log-Jacobians were 0.31 and 3.74, respectively. When considering 3D landmark distance, the root-mean-square error changed from an average of 20.82 mm for Pfixed to Pmoving to 0.5 mm for Pwarped to Pfixed. Clear shadows were observed as enhanced lung nodules and lesions in subtraction images. The lesion shadows showed lesion shrinkage changes over time. Lesion tissue morphology was maintained after DIR.

Conclusions: DIR (greedy SyN) effectively and accurately enhanced temporal changes in chest CT images and decreased misregistration artifacts in temporal subtraction images.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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