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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >3D Inter-Subject Cardiac Registration Using 4D Information
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3D Inter-Subject Cardiac Registration Using 4D Information

机译：使用4D信息进行3D受试者间心脏登记

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In this paper we present a new approach for the registration of cardiac 4D image sequences of different subjects, where we assume that a temporal association between the sequences is given. Moreover, we allow for one (or two) selected pair(s) of associated points in time of both sequences, which we call the bridging points in time, the use of additional information such as the semi-automatic segmentation of the investigated structure. We establish the 3D inter-subject registration for all other pairs of points in time exploiting (1) the inter-subject registration for the bridging pair of points in time, (2) the intra-subject motion calculation in both sequences with respect to the bridging pair, and (3) the concatenation of the obtained transformations. We formulate a cost functional integrating the similarity measures comparing the images of the bridging pair(s) of points in time and of the current pair of points in time, respectively. We evaluated our algorithm on 8 healthy volunteers leading to 28 inter-subject combinations and we analyze the behaviour for different parameter settings weighting differently the involved pairs of points in time. The approach based on the bridging pairs outperforms a direct 3D registration of corresponding points in time, in particular in the right ventricle we gain up to 33% in registration accuracy. Starting with a cost functional taking into account the similarity at the first bridging point in time, the results improve stepwise by integrating, firstly, information from the current pair of points in time and secondly, from a second bridging point in time. Our results also show a steep rise of the importance of regularization on the registration accuracy when registering the current point in time with our procedure (17% gain in accuracy) with respect to a direct registration in the bridging point (less than 1%). However, regularization during intra-sequence registration had only minor effects on the accuracy of our registration procedure.
机译：在本文中，我们提出了一种用于注册不同对象的心脏4D图像序列的新方法，其中我们假设给出了序列之间的时间关联。此外，我们允许两个序列的关联时间点中的一个（或两个）选定对，我们称其为桥接时间点，使用附加信息，例如所研究结构的半自动分段。我们利用（1）桥接时间点对来进行对象间配准，为所有其他时间点对建立3D主题间配准，（2）相对于桥接对，以及（3）所获得转换的串联。我们制定了一个成本函数，整合了相似性度量，分别比较了时间点和当前时间点对的桥接对的图像。我们在8个健康志愿者上评估了我们的算法，得出了28个受试者之间的组合，并且我们分析了在不同参数设置下对涉及的时间点对的加权不同的行为。基于桥接对的方法优于相应时间点的直接3D配准，特别是在右心室中，配准精度最高可提高33％。从考虑第一个桥接时间点的相似性的成本函数开始，通过首先集成来自当前时间点对的信息，其次集成来自第二个桥接时间点的信息，逐步改善结果。我们的结果还显示，相对于桥接点中的直接注册（小于1％），使用我们的程序注册当前时间点时（准确度提高17％），正规化对注册准确性的重要性急剧上升。但是，序列内配准期间的正规化对我们配准程序的准确性影响很小。

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