UPMC Univ Paris 06, UMR 7623, LIP, F-75005, Paris, France; CNRS, UMR 7623, LIP, F-75006, Paris, France.
AP-HP, Hôpital Pitié-Salpêtrière, Service de radiologie, F-75013, Paris, France.
Ultrasonics. 2014 Jul;54(5):1289-99. doi: 10.1016/j.ultras.2014.01.005. Epub 2014 Jan 18.
This study proposes a new method for automatic, iterative image registration in the context of dynamic contrast-enhanced ultrasound (DCE-US) imaging. By constructing a cost function of image registration using a combination of the tissue and contrast-microbubble responses, this new method, referred to as dual-mode registration, performs alignment based on both tissue and vascular structures. Data from five focal liver lesions (FLLs) were used for the evaluation. Automatic registration based on the dual-mode registration technique and tissue-mode registration obtained using the linear response image sequence alone were compared to manual alignment of the sequence by an expert. Comparison of the maximum distance between the transformations applied by the automatic registration techniques and those from expert manual registration reference showed that the dual-mode registration provided better precision than the tissue-mode registration for all cases. The reduction of maximum distance ranged from 0.25 to 9.3mm. Dual-mode registration is also significantly better than tissue-mode registration for the five sequences with p-values lower than 0.03. The improved sequence alignment is also demonstrated visually by comparison of images from the sequences and the video playbacks of the motion-corrected sequences. This new registration technique better maintains a selected region of interest (ROI) within a fixed position of the image plane throughout the DCE-US sequence. This should reduce motion-related variability of the echo-power estimations and, thus, contribute to more robust perfusion quantification with DCE-US.
本研究提出了一种新的方法,用于在动态对比增强超声(DCE-US)成像的背景下进行自动、迭代的图像配准。通过构建一个基于组织和对比微泡响应的图像配准成本函数,这种新的方法,称为双模配准,基于组织和血管结构进行对齐。使用五个局灶性肝病变(FLL)的数据进行评估。基于双模配准技术的自动配准和仅使用线性响应图像序列的组织模式配准与专家手动配准的序列进行了比较。通过自动配准技术应用的变换与专家手动参考配准之间的最大距离的比较表明,对于所有情况,双模配准都比组织模式配准提供了更好的精度。最大距离的减少范围从 0.25 到 9.3mm。对于五个序列,双模配准也明显优于组织模式配准,p 值低于 0.03。通过比较序列的图像和运动校正序列的视频回放,也可以直观地证明改进的序列对齐。这种新的配准技术在整个 DCE-US 序列中更好地保持了感兴趣区域(ROI)在图像平面固定位置内。这应该减少与运动相关的回波功率估计的可变性,从而有助于更稳健的 DCE-US 灌注定量。