Efficient Multi-Atlas Registration using an Intermediate Template Image.
Efficient Multi-Atlas Registration using an Intermediate Template Image.
复制标题
使用中间模板图像进行高效的多图集配准。
DOI：
10.1117/12.2256147
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Prince,JerryL
中科院分区：
文献类型：
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作者：
Dewey,BlakeE;Carass,Aaron;Blitz,AriM;Prince,JerryL
多图谱标签融合是一种准确但耗时的人脑标记方法。使用中间图像作为配准目标可以允许研究人员通过存储图谱图像所需的变形来减少时间限制。在本文中，我们调查的效果，通过中间模板图像的注册多图集标签融合，并提出了一种新的注册技术，以抵消通过模板注册的负面影响。我们表明，整体计算时间可以显着减少，对最终标签的准确性和时间的影响最小，可以以可预测的方式交换改进的结果。我们看到，使用校正的方法，在简单的通过模板配准上，骰子相似性几乎完全恢复，并且仍然保持3-4倍的速度提高。此外，我们评估了这种方法对正常压力脑积水患者大脑的有效性，其中异常的大脑形状呈现出标记困难，特别是脑室标签。我们的校正方法创建了比传统方法更好的心室标记，并保持了在健康受试者中看到的速度增加。
Multi-atlas label fusion is an accurate but time-consuming method of labeling the human brain. Using an intermediate image as a registration target can allow researchers to reduce time constraints by storing the deformations required of the atlas images. In this paper, we investigate the effect of registration through an intermediate template image on multi-atlas label fusion and propose a novel registration technique to counteract the negative effects of through-template registration. We show that overall computation time can be decreased dramatically with minimal impact on final label accuracy and time can be exchanged for improved results in a predictable manner. We see almost complete recovery of Dice similarity over a simple through-template registration using the corrected method and still maintain a 3-4 times speed increase. Further, we evaluate the effectiveness of this method on brains of patients with normal-pressure hydrocephalus, where abnormal brain shape presents labeling difficulties, specifically the ventricular labels. Our correction method creates substantially better ventricular labeling than traditional methods and maintains the speed increase seen in healthy subjects.