Rotation of NMR images using the 2D chirp-z transform

被引:0
|
作者
Tong, RQ [1 ]
Cox, RW [1 ]
机构
[1] Med Coll Wisconsin, Biophys Res Inst, Milwaukee, WI 53226 USA
关键词
chirp-z transform; nuclear magnetic resonance; linear interpolation; bicubic interpolation; sine interpolation;
D O I
10.1002/(SICI)1522-2594(199902)41:2<253::AID-MRM7>3.3.CO;2-T
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
A quick and accurate way to rotate and shift nuclear magnetic resonance (NMR) images using the two-dimensional chirp-z transform is presented. When the desired image grid is rotated and shifted from the original grid due to patient motion, the chirp-z transform can reconstruct NMR images directly onto the ultimate grid instead of reconstructing onto the original grid and then applying interpolation to get the final real-space image in the conventional way. The rotation angle and shift distances are embedded in the parameters of the chirp-z transform. The chirp-z transform implements discrete sine interpolation to get values at grid points that are not exactly on the original grid when applying the inverse Fourier transform. Therefore, the chirp-z transform is more accurate than methods such as linear or bicubic interpolation and is more efficient than direct implementation of sine interpolation because the sine interpolation is implemented at the same time as reconstruction from k-space. (C) 1999 Wiley-Liss, Inc.
引用
收藏
页码:253 / 256
页数:4
相关论文
共 50 条
  • [31] Processing High Squint FMCW SAR Data Using Extended Inverse Chirp-Z Transform Algorithm
    Liu, Yue
    Wang, Robert
    Deng, Yunkai
    Zhao, Fengjun
    Zhang, Zhimin
    CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2013, : 467 - 469
  • [32] Focusing of translational variant bistatic forward-looking SAR with Chirp-Z transform
    Liu, Huan
    Zhou, Jianxiong
    Fu, Qiang
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2013, 27 (12) : 1455 - 1465
  • [33] Efficient implementation of the image rotation method using chirp Z-transform
    Myagotin A.V.
    Vlasov E.V.
    Pattern Recognition and Image Analysis, 2014, 24 (1) : 57 - 62
  • [34] An induction motor speed measurement based on current harmonic analysis with Chirp-Z Transform
    Aiello, M
    Cataliotti, A
    Nuccio, S
    IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS, 2001, : 578 - 582
  • [35] AN EXTENDED INVERSE CHIRP-Z TRANSFORM ALGORITHM TO PROCESS HIGH SQUINT SAR DATA
    Liu, Yue
    Deng, Yun Kai
    Wang, Robert
    PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2013, 138 : 555 - 569
  • [36] A Wide-Swath Spaceborne TOPS SAR Image Formation Algorithm Based on Chirp Scaling and Chirp-Z Transform
    Yang, Wei
    Chen, Jie
    Zeng, Hong Cheng
    Wang, Peng Bo
    Liu, Wei
    SENSORS, 2016, 16 (12): : 1 - 17
  • [37] Asymmetric Cryptosystem for Color Images Based on Unequal Modulus Decomposition in Chirp-Z Domain
    Sachin
    Singh, Phool
    Kumar, Ravi
    Yadav, A. K.
    PROCEEDINGS OF ACADEMIA-INDUSTRY CONSORTIUM FOR DATA SCIENCE (AICDS 2020), 2022, 1411 : 331 - 344
  • [38] An induction motor speed measurement method based on current harmonic analysis with the chirp-Z transform
    Aiello, M
    Cataliotti, A
    Nuccio, S
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2005, 54 (05) : 1811 - 1819
  • [39] Dispersed chirp-z transform-based spectrum sensing and utilisation in cognitive radio networks
    Namdar, Mustafa
    Ilhan, Haci
    Durak-Ata, Lutfiye
    IET SIGNAL PROCESSING, 2014, 8 (04) : 320 - 329
  • [40] Suppression of mono-frequency interference on seismic record by Chirp-Z transform spectrum analysis
    Luo, Guo-An
    Gao, Shao-Wu
    Wei, Geng-Yu
    Wang, Shang-Xu
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2009, 44 (02): : 166 - 172