Deformable Registration of High-Resolution and Cine MR Tongue Images

被引:0
|
作者
Woo, Jonghye [1 ,2 ]
Stone, Maureen [1 ]
Prince, Jerry L. [2 ]
机构
[1] Univ Maryland, Sch Dent, Dept Neural & Pain Sci, Baltimore, MD 21201 USA
[2] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD USA
关键词
MUTUAL-INFORMATION; NONRIGID REGISTRATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work investigates a novel 3D multimodal deforrnable registration method to align high-resolution magnetic resonance imaging (MRI) with cine MRI of the tongue for better visual and motion analysis. Both modalities have different strengths to characterize and analyze the tongue structure or motion. Visual and motion analysis of combined anatomical and temporal information can synergistically improve the utility of each modality. An automated multimodal registration method is presented utilizing structural information computed from the 3D Harris operator to encode spatial and geometric cues into the computation of mutual information. The robustness and accuracy of the proposed method have been demonstrated using experiments on clinical datasets and yielded better performance compared to the conventional method and an average error comparable to the inter-observer variability.
引用
收藏
页码:556 / +
页数:2
相关论文
共 50 条
  • [21] A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation
    Zuo, Renxiang
    Zhang, Guangyun
    Zhang, Rongting
    Jia, Xiuping
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [22] Finite element model-based tumor registration of microPET and high-resolution MR images for photodynamic therapy in mice
    Fei, Baowei
    Wang, Hesheng
    Muzic, Raymond F., Jr.
    Flask, Chris A.
    Feyes, Denise K.
    Wilson, David L.
    Duerk, Jeffrey L.
    Oleinick, Nancy L.
    MEDICAL IMAGING 2006: PHYSIOLOGY, FUNCTION, AND STRUCTURE FROM MEDICAL IMAGES PTS 1 AND 2, 2006, 6143
  • [23] Symmetric Deformable Registration via Learning a Pseudomean for MR Brain Images
    Sui, Xiaodan
    Zheng, Yuanjie
    He, Yunlong
    Jia, Weikuan
    JOURNAL OF HEALTHCARE ENGINEERING, 2021, 2021
  • [24] Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
    Wu, Guorong
    Kim, Minjeong
    Wang, Qian
    Gao, Yaozong
    Liao, Shu
    Shen, Dinggang
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2013, PT II, 2013, 8150 : 649 - 656
  • [25] Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images
    Parisot, Sarah
    Duffau, Hugues
    Chemouny, Stephane
    Paragios, Nikos
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2012, PT II, 2012, 7511 : 651 - 658
  • [26] Deformable registration of diffusion tensor MR images with explicit orientation optimization
    Zhang, Hui
    Yushkevich, Paul A.
    Alexander, Daniel C.
    Gee, James C.
    MEDICAL IMAGE ANALYSIS, 2006, 10 (05) : 764 - 785
  • [27] Deformable registration of diffusion tensor MR images with explicit orientation optimization
    Zhang, H
    Yushkevich, PA
    Gee, JC
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 1, 2005, 3749 : 172 - 179
  • [28] HIGH-RESOLUTION CINE MRI OF VESSEL DISTENSION
    CHIEN, D
    SALONER, D
    LAUB, G
    ANDERSON, CM
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1994, 18 (04) : 576 - 580
  • [29] HIGH-RESOLUTION CINE MR IMAGING OF THE CORONARY-ARTERIES WITH PHASE-ENCODING GROUPING
    PESHOCK, RM
    CLARKE, GD
    ERDMAN, WA
    NESSAIVER, M
    PARKEY, RW
    RADIOLOGY, 1992, 185 : 102 - 102
  • [30] In vivo high-resolution MR images of MS patients at 7 Tesla
    Pelletier, Daniel
    Metcalf, Meredith
    Okuda, Darin
    Xu, Duan
    Srinivasan, Radhika
    Carvajal, Lucas
    Kelley, Douglas A. C.
    Nelson, Sarah J.
    Vigneron, Daniel B.
    NEUROLOGY, 2007, 68 (12) : A331 - A332