腹部CT三维多期图像的粗到细配准

Shao-di Yang, Fan Zhang, Zhen Yang, Xiaoyu Yang, Shuzhou Li
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引用次数: 0

摘要

注册是集成纳米材料成像辅助诊断和治疗的技术支持。本文提出了一种从粗到细的三维(3D)多相腹部CT图像配准方法。首先,使用线性模型对成对的多相图像进行粗配准。其次,提出了一种基于强度的配准框架,该框架包含数据和空间正则化项,并对粗配准步骤中获得的成对图像进行精细配准。结果表明,所提出的方法优于现有的一些方法,平均MSE、PSNR和SSIM值分别为0.0082、21.2695和0.8956。因此,所提出的方法为三维多相腹部CT图像配准提供了一个高效而稳健的框架。
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A Coarse-to-Fine Registration on 3D Multi-Phase Abdominal CT Images
Registration is a technical support for the integration of nanomaterial imaging-aided diagnosis and treatment. In this paper, a coarse-to-fine three-dimensional (3D) multi-phase abdominal CT images registration method is proposed. Firstly, a linear model is used to coarsely register the paired multiphase images. Secondly, an intensity-based registration framework is proposed, which contains the data and spatial regularization terms and performs fine registration on the paired images obtained in the coarse registration step. The results illustrate that the proposed method is superior to some existing methods with the average MSE, PSNR, and SSIM values of 0.0082, 21.2695, and 0.8956, respectively. Therefore, the proposed method provides an efficient and robust framework for 3D multi-phase abdominal CT images registration.
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来源期刊
Nanoscience and Nanotechnology Letters
Nanoscience and Nanotechnology Letters Physical, Chemical & Earth Sciences-MATERIALS SCIENCE, MULTIDISCIPLINARY
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审稿时长
2.6 months
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