A flexible view ordering technique for high-quality real-time 2DFT MR fluoroscopy

被引:0
|
作者
Busse, RF [1 ]
Kruger, DG [1 ]
Debbins, JP [1 ]
Fain, SB [1 ]
Riederer, SJ [1 ]
机构
[1] Mayo Clin & Mayo Fdn, Magnet Resonance Lab, Rochester, MN 55905 USA
关键词
real-time MRI; view order; dynamic imaging; temporal resolution;
D O I
10.1002/(SICI)1522-2594(199907)42:1<69::AID-MRM11>3.0.CO;2-Y
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 method to tailor the view order to the reconstruction cycle is introduced for real-time MRI. it is well known that view sharing and oversampling central k-space views can improve the temporal resolution of gradient-echo pulse sequences. By ordering phase-encodes to synchronize k-space acquisition with the reconstruction cycle, apparent temporal resolution can match the frame rate with as few as one-fourth of the phase-encodes sampled per reconstruction. Spatial resolution is maintained by periodically updating high spatial frequencies. In addition to apparent temporal resolution, three other criteria for real-time imaging are identified and evaluated: display latency, dispersion, and frame-to-frame consistency. Latency is minimized by ordering views in a reverse-centric manner within each reconstruction interval, sampling high-energy views immediately prior to beginning reconstruction. Dispersion is kept low and consistent by synchronizing acquisition and reconstruction, thus avoiding poorly timed reconstruction instances. Real-time implementation demonstrates pulsatile time-of-flight blood signal enhancement in humans. Magn Reson Med 42:69-81, 1999. (C) 1999 Wiley-Liss, Inc.
引用
收藏
页码:69 / 81
页数:13
相关论文
共 50 条
  • [41] Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework
    Baek, Hankyul
    Lee, Rhoan
    Jung, Soyi
    Kim, Joongheon
    Park, Soohyun
    IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 2023, 4 : 243 - 252
  • [42] A Low-Cost High-Quality Adaptive Scalar for Real-Time Multimedia Applications
    Chen, Shih-Lun
    Huang, Hong-Yi
    Luo, Ching-Hsing
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 21 (11) : 1600 - 1611
  • [43] TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning
    Lee, Joo Ho
    Ha, Hyunho
    Dong, Yue
    Tong, Xin
    Kim, Min H.
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020, : 1269 - 1277
  • [44] The corridor map method: a general framework for real-time high-quality path planning
    Geraerts, Roland
    Overmars, Mark H.
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2007, 18 (02) : 107 - 119
  • [45] High-quality real-time moving object detection by non-parametric segmentation
    Cuevas, C.
    Mohedano, R.
    Jaureguizar, F.
    Garcia, N.
    ELECTRONICS LETTERS, 2010, 46 (13) : 910 - U60
  • [46] A failure-resistant ATM transport method for the transmission of high-quality real-time signals
    Kanayama, Y
    Fujihara, K
    Tsuboi, T
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2000, E83B (02) : 293 - 298
  • [47] A Real-Time High-Quality Complete System for Depth Image-Based Rendering on FPGA
    Li, Yanzhe
    Claesen, Luc
    Huang, Kai
    Zhao, Menglian
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 29 (04) : 1179 - 1193
  • [48] QuickETC2-HQ: Improved ETC2 encoding techniques for real-time, high-quality texture compression
    Nah, Jae-Ho
    COMPUTERS & GRAPHICS-UK, 2023, 116 : 308 - 316
  • [49] Real-time neuronavigation with high-quality 3D ultrasound SonoWand® in pediatric neurosurgery
    Roth, Jonathan
    Biyani, Naresh
    Beni-Adani, Liana
    Constantini, Shlomi
    PEDIATRIC NEUROSURGERY, 2007, 43 (03) : 185 - 191
  • [50] GPU-accelerated depth codec for real-time, high-quality light field reconstruction
    Koniaris, Babis
    Kosek, Maggie
    Sinclair, David
    Mitchell, Kenny
    PROCEEDINGS OF THE ACM ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES, 2018, 1 (01)