Hou Mo, Chen Chunxiao, Tang Dalin, Luo Shouhua, Yang Fang, Gu Ning
Biomed Eng Online. 2015;14 Suppl 1(Suppl 1):S14. doi: 10.1186/1475-925X-14-S1-S14. Epub 2015 Jan 9.
As a dual-modality contrast agent, magnetic microbubbles (MMBs) can not only improve contrast of ultrasound (US) image, but can also serve as a contrast agent of magnetic resonance image (MRI). With the help of MMBs, a new registration method between US image and MRI is presented.
In this method, MMBs were used in both ultrasound and magnetic resonance imaging process to enhance the most important information of interest. In order to reduce the influence of the speckle noise to registration, semi-automatic segmentations of US image and MRI were carried out by using active contour model. After that, a robust optical flow model between US image segmentation (floating image) and MRI segmentation (reference image) was built, and the vector flow field was estimated by using the Coarse-to-fine Gaussian pyramid and graduated non-convexity (GNC) schemes.
Qualitative and quantitative analyses of multiple group comparison experiments showed that registration results using all methods tested in this paper without MMBs were unsatisfactory. On the contrary, the proposed method combined with MMBs led to the best registration results.
The proposed algorithm combined with MMBs contends with larger deformation and performs well not only for local deformation but also for global deformation. The comparison experiments also demonstrated that ultrasound-MRI registration using the above-mentioned method might be a promising method for obtaining more accurate image information.
作为一种双模态造影剂,磁性微泡(MMBs)不仅可以提高超声(US)图像的对比度,还可以作为磁共振成像(MRI)的造影剂。借助磁性微泡,提出了一种超声图像与MRI之间的新配准方法。
在该方法中,磁性微泡用于超声和磁共振成像过程,以增强最重要的感兴趣信息。为了减少斑点噪声对配准的影响,使用主动轮廓模型对超声图像和MRI进行半自动分割。之后,在超声图像分割(浮动图像)和MRI分割(参考图像)之间建立了一个鲁棒的光流模型,并使用从粗到精的高斯金字塔和梯度非凸性(GNC)方案估计矢量流场。
多组对比实验的定性和定量分析表明,本文测试的所有不使用磁性微泡的方法的配准结果都不令人满意。相反,所提出的结合磁性微泡的方法产生了最佳的配准结果。
所提出的结合磁性微泡的算法能够应对较大变形,不仅在局部变形方面表现良好,在全局变形方面也表现出色。对比实验还表明,使用上述方法进行超声-MRI配准可能是一种获得更准确图像信息的有前途的方法。