Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic CT images
Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic CT images
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DOI：
10.1118/1.2401661
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发表时间：
2007-01-01
期刊：
影响因子：
3.8
通讯作者：
Bergmann, Helmar
中科院分区：
文献类型：
--
作者：
Birkfellner, Wolfgang;Figl, Michael;Bergmann, Helmar
将来自FluoroCT、CineMR或介入磁共振成像的单个切片配准到三维（3D）体积是二维（2D）/3D配准问题的一个特殊方面。与数字渲染射线照片（DRR）不同，将介入手术期间获得的单个2D切片图像与来自高分辨率3D扫描的倾斜重新格式化切片进行比较。由于缺乏透视信息和不同的成像几何结构，DRR图像与传统X射线图像相比，收敛行为与2D/3D配准应用存在显著差异。我们已经实现了一些价值函数和局部和全局优化算法的计算机断层扫描（CT）和FluoroCT图像的切片到体积配准。这些方法进行了测试，从临床扫描肝脏活检的幻影图像。我们的研究结果表明，良好的配准精度在0.5度和1.0毫米的范围内是可以实现的，使用简单的互相关和重复应用的局部优化算法。通常，在标准个人计算机上进行注册大约需要1分钟。其他价值函数，如图案强度或归一化互信息没有执行以及在这个初始评估的互相关。此外，似乎使用诸如模拟退火的全局优化算法并不能提高配准过程的可靠性或准确性。这些发现也在对五次临床扫描的初步注册研究中得到证实。然而，这些实验表明，当在图像引导活检检索中使用刚性配准技术进行病变定位时，严格的屏气协议是不可避免的。最后，进一步可能的应用程序的切片到卷注册进行了讨论。(c)2007年美国医学物理学家协会。
Registration of single slices from FluoroCT, CineMR, or interventional magnetic resonance imaging to three dimensional (3D) volumes is a special aspect of the two-dimensional (2D)/3D registration problem. Rather than digitally rendered radiographs (DRR), single 2D slice images obtained during interventional procedures are compared to oblique reformatted slices from a high resolution 3D scan. Due to the lack of perspective information and the different imaging geometry, convergence behavior differs significantly from 2D/3D registration applications comparing DRR images with conventional x-ray images. We have implemented a number of merit functions and local and global optimization algorithms for slice-to-volume registration of computed tomography (CT) and FluoroCT images. These methods were tested on phantom images derived from clinical scans for liver biopsies. Our results indicate that good registration accuracy in the range of 0.5 degrees and 1.0 mm is achievable using simple cross correlation and repeated application of local optimization algorithms. Typically, a registration took approximately 1 min on a standard personal computer. Other merit functions such as pattern intensity or normalized mutual information did not perform as well as cross correlation in this initial evaluation. Furthermore, it appears as if the use of global optimization algorithms such as simulated annealing does not improve reliability or accuracy of the registration process. These findings were also confirmed in a preliminary registration study on five clinical scans. These experiments have, however, shown that a strict breath-hold protocol is inevitable when using rigid registration techniques for lesion localization in image-guided biopsy retrieval. Finally, further possible applications of slice-to-volume registration are discussed. (c) 2007 American Association of Physicists in Medicine.