华中科技大学学报（自然科学版）2024，Vol.52Issue(5)：29-49,157,22.DOI:10.13245/j.hust.240479
多模态医学图像配准算法综述
Review of multimodal medical image registration algorithm
摘要
Abstract
The multimodal medical image(magnetic resonance(MR),computed tomography(CT),Xray and so on)registration was investigated,and a comprehensive analysis and summary of the research work related to multimodal medical image registration in the past decades were carried out.First,the necessity of multimodal medical image registration was introduced,and the general process of image registration was analyzed.Then,three inductive perspectives were proposed to analyze existing research.Five registration modes between multiple sequences of MR,CT and Xray modalities,five common anatomical structures for registration,and four commonly used multimodal image registration algorithms were focused on and summarized.Seven multimodal medical image registration benchmarks and six popular evaluation metrics were analyzed.Finally,challenges and potential future research directions for multimodal medical image registration algorithm were indicated.关键词
医学影像/多模态配准/优化算法/监督学习/无监督学习/形变估计Key words
medical image/multimodal registration/optimization algorithm/supervised learning/unsupervised learning/deformation estimation分类
信息技术与安全科学引用本文复制引用
冯筠,邓佳慧,周末,陈宝莹..多模态医学图像配准算法综述[J].华中科技大学学报（自然科学版）,2024,52(5):29-49,157,22.基金项目
国家自然科学基金面上资助项目(62073260). （62073260）
