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A new method for diffusion imaging using Burst excitation C. Wheeler-Kingshott 1, D. Thomas 2, M. Lythgoe 2, S. Williams 2 and S. J. Doran 1 1 University of Surrey (Guildford) 2 Institute of Child Health (London)
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Acknowledgements Steve Williams (Institute of Child Health, London) SMIS (Surrey Medical Imaging Systems, Guildford) Dave Guilfoyle (Nathan Klein Institute, New York)
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Summary What is Burst ? Molecular diffusion, T 2 and Burst A new single-scan Burst sequence u Sequence Scheme u Advantages and Problems Experimental work u Repeatability of the method u Comparison with DW-SE data and ME data Conclusions
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Burst: single-shot imaging method, first proposed by Hennig in 1988. A series of low angle pulses creates a train of echoes, which can be used to form an image. A variety of different types of Burst sequence exists. Burst techniques 180° BURST excitation Echo acquisition RF READ G G
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Burst signal decay The echo train acquired during Burst experiments suffers from a combined decay due to T 2 relaxation and Molecular Diffusion. Echo time increases with the echo number. Burst excitation/readout gradient acts as diffusion pair of different length for each pulse/echo couple Increasing echo time Increasing b-value
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0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0510152025303540 Echo Number A / A0 Data for CuSO 4 T 2 and D double fit Typical Spectroscopic Data Typical Image Data Can we use the decay to get D and T 2 ?
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ADC&T 2 Burst sequence A data array of n echoes is acquired for each PE step. Each echo, j, corresponds to the same k-space line of the same slice, but with a different ADC&T 2 weight. Corresponding echoes in successive arrays are used to reconstruct a given image. In one scan we collect n ADC&T 2 weighted images. Phase encode Readout D, T 2 j = 0 j = n-1
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Pulse sequence diagram RF SLICE READ 180 selective pulse BURST excitation Echo acquisition j j TE j G G j j PHASE
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Potential Advantages Method allows acquisition of ADC&T 2 weighted data in one scan. Acquisition of n images in one scan eliminates registration artifacts arising from motion between successive scans. Different b j values are obtained by increasing the diffusion time, j and consequently j, diffusion data are sensitive to restriction
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Problems The choice of the parameters is governed by the rules of Burst imaging: The range of b factors, b j, and echo times, TE j, are not independent of other parameters. Only in-plane ADC maps are possible because the diffusion gradient coincides with the readout gradient. Burst images have slightly lower signal-to-noise ratio than the corresponding DW-SE Double-parameter fit
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Repeatability of the Burst experiment SMIS 360 MHz scanner at the Institute of Child Health ADC&T 2 Burst and conventional DW-SE sequences with exactly the same 16 different b values Spin-echo experiment is 3 times longer (for equivalent SNR in images) Same cycle of experiments (Burst-SE-Burst-SE-Burst) on a rat before and after sacrifice Data show a good repeatability in both cases The plot of the data obtained with ADC&T 2 Burst sequence differs from the plot of the SE data only because of the extra T 2 decay.
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Alive Post-mortem bjbj bjbj Normalized echo amplitude
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Experimental results After optimization on phantoms, we performed the experiments on 4 animals, both before and after sacrificing them.
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Burst images SE images ME images
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Data analysis ROI1 ROI2 ROI3 BURST ADC 6.5 0.6 5.5 0.5 5.3 0.5 DW-SE ADC 7.2 0.4 6.1 0.46.3 0.4 (10 -6 cm 2 s -1 ) BURST T 2 49 5 50 5 42 4 ME T 2 40 2 42 2 40 2 (ms)
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Plot data and fitted function Echo number A j / A 0 ROI1 ROI2 ROI3 Typical single pixel fit
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Conclusions The data obtained in the Burst experiment fit the theoretical model well. When T 2 is known, the values of ADC obtained are accurate. However … Fitting to two parameters causes problems. Extracting both ADC and T 2 from a single data set appears to be difficult in rat brain. More work needs to be done to establish under what conditions the method can be used successfully.
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T2T2 ADC Burst Double fit Burst Single fit (given T 2 ) DW-SE ME
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