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Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps

机译：使用多通道不同形态的恶魔结合确定性图来改善注册。

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摘要

The number of available imaging modalities increases both in clinical practice and in clinical studies. Even though data from multiple modalities might be available, image registration is typically only performed using data from a single modality. In this paper, we propose using certainty maps together with multi-channel diffeomorphic demons in order to improve both accuracy and robustness when performing image registration. The proposed method is evaluated using DTI data, multiple region overlap measures and a fiber bundle similarity metric.
机译：在临床实践和临床研究中，可用的成像方式的数量都在增加。即使可能有来自多个模态的数据，但通常仅使用来自单个模态的数据执行图像配准。在本文中，我们提出将确定性图与多通道微分恶魔结合使用，以提高执行图像配准时的准确性和鲁棒性。使用DTI数据，多个区域重叠度量和纤维束相似性度量对所提出的方法进行评估。

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  • 来源
    《Multimodal Brain Image Analysis》|2011年|p.19-26|共8页
  • 会议地点 Toronto(CA);Toronto(CA);Toronto(CA);Toronto(CA)
  • 作者

    Daniel Forsberg; Yogesh Rathi; Sylvain Bouix; Demian Wassermann; Hans Knutsson; Carl-Fredrik Westin;

  • 作者单位

    Sectra Imtec, Linkoping, Sweden,Department of Biomedical Engineering, Linkoping University, Sweden,Center for Medical Image Science and Visualization (CMIV),Linkoping University, Sweden;

    Psychiatry Neuroimaging Laboratory, Brigham and Womens Hospital,Harvard Medical School, Boston, MA, USA;

    Psychiatry Neuroimaging Laboratory, Brigham and Womens Hospital,Harvard Medical School, Boston, MA, USA;

    Psychiatry Neuroimaging Laboratory, Brigham and Womens Hospital,Harvard Medical School, Boston, MA, USA;

    Department of Biomedical Engineering, Linkoping University, Sweden,Center for Medical Image Science and Visualization (CMIV),Linkoping University, Sweden;

    Laboratory of Mathematics in Imaging, Brigham and Womens Hospital,Harvard Medical School, Boston, MA, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医用物理学;脑部疾病;
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