Intra- and inter-modality registration of functional and anatomical clinical images

被引:2
|
作者
Eberl, S [1 ]
Braun, M [1 ]
机构
[1] Royal Prince Alfred Hosp, Dept PET & Nucl Med, Camperdown, NSW 2050, Australia
来源
关键词
D O I
10.1117/12.351630
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Image registration techniques spatially register clinical images of patients performed either at different times with the same modality (intra-modality) or with different modality (inter-modality), to facilitate assessment of change and to take full advantage of the frequently complementary information provided by the imaging modalities. Inter-subject registration permits comparison to normal data bases and averaging of data fi-om several subjects to improve statistical significance. Image registration is well established in the brain since the skull limits deformation of the brain between studies and the use of rigid body transformation can usually be justified for intra-subject registrations. A large range of image registration algorithms, ranging from completely manual to fully automatic, have been developed. These can be classified into external methods, which typically use fiducial markers, intrinsic techniques, which rely on the information contained in the patient image data and non-image based methods, which use information external to the data being registered. The technique of choice depends on the specific requirements of the application and it is unlikely that a single "best" technique can meet sometimes conflicting requirements (e.g. accuracy, speed, ease of use etc). While considerable progress has been made in image registration outside the brain, considerable challenges still remain. In this paper, we present the basic principles of image registration and practical issues arising from our experience with routine clinical use of image registration over several years.
引用
收藏
页码:102 / 114
页数:13
相关论文
共 50 条
  • [1] Intra- and inter-modality registration of four-dimensional (4D) images
    Schreibmann, E.
    Thorndyke, B.
    Xing, L.
    MEDICAL PHYSICS, 2006, 33 (06) : 2187 - 2187
  • [2] Intra- and inter-modality registration of four-dimensional (4D) images
    Schreibmann, E.
    Xing, L.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2006, 66 (03): : S648 - S648
  • [3] Improving Intra- and Inter-Modality Visual Relation for Image Captioning
    Wang, Yong
    Zhang, WenKai
    Liu, Qing
    Zhang, Zhengyuan
    Gao, Xin
    Sun, Xian
    MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 4190 - 4198
  • [4] Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation
    Lin, Zhenghong
    Tan, Yanchao
    Zhan, Yunfei
    Liu, Weiming
    Wang, Fan
    Chen, Chaochao
    Wang, Shiping
    Yang, Carl
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 6234 - 6242
  • [5] Fusion of Intra- and Inter-modality Algorithms for Face-Sketch Recognition
    Galea, Christian
    Farrugia, Reuben A.
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT II, 2015, 9257 : 700 - 711
  • [6] Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity
    Cao, Xiaohuan
    Yang, Jianhuan
    Wang, Li
    Xue, Zhong
    Wang, Qian
    Shen, Dinggang
    MACHINE LEARNING IN MEDICAL IMAGING: 9TH INTERNATIONAL WORKSHOP, MLMI 2018, 2018, 11046 : 55 - 63
  • [7] Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection
    Wei, Lingwei
    Hu, Dou
    Zhou, Wei
    Hu, Songlin
    IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 25 : 7906 - 7916
  • [8] Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering
    Gao, Peng
    Jiang, Zhengkai
    You, Haoxuan
    Lu, Pan
    Hoi, Steven
    Wang, Xiaogang
    Li, Hongsheng
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 6632 - 6641
  • [9] Histogram transformation for inter-modality image registration
    Meyer, Joerg
    PROCEEDINGS OF THE 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING, VOLS I AND II, 2007, : 1118 - 1123
  • [10] Quantitative assessment of intra- and inter-modality deformable image registration of the heart, left ventricle, and thoracic aorta on longitudinal 4D-CT and MR images
    Omidi, Alireza
    Weiss, Elisabeth
    Wilson, John S.
    Rosu-Bubulac, Mihaela
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (02):