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Assessment of tumoural ADC’s in rectal Tumours using Burst: New methodological Developments SJ Doran 1, ASK Dzik-Jurasz 2, J Wolber 2, C Domenig 1, MO Leach 2 2 CRC Clinical Magnetic Resonance Research Group Research Group Institute of Cancer Research Institute of Cancer Research Sutton, UK Sutton, UK 1 University of Surrey Department of Physics Department of Physics Guildford, UK Guildford, UK
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Purpose of the clinical Study Assessment of locally advanced rectal tumours and Assessment of locally advanced rectal tumours and surrounding normal tissue prior to chemo- and radio- surrounding normal tissue prior to chemo- and radio- therapy and after treatment therapy and after treatment Changes in ADC may precede conventional Changes in ADC may precede conventional morphological measures of tumour response morphological measures of tumour response
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The original Burst Sequence (J. Hennig, M. Hodapp, 1993; L. Zha, I. J. Lowe, 1995)
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Main Components of Burst-type Sequences excitation with a series of N low-flip-angel RF pulses excitation with a series of N low-flip-angel RF pulses (DANTE pulse train) (DANTE pulse train) consecutive acquisition of the N echoes consecutive acquisition of the N echoes constant gradient during excitation/acquisition in the constant gradient during excitation/acquisition in the readout direction readout direction Intrinsic characteristics: Intrinsic characteristics: decay of successive echoes due to T 2 and diffusion
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Our first Burst-Diffusion Sequence (C. A. Wheeler-Kingshott et al., 2000)
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Excitation/readout gradient = diffusion gradient Excitation/readout gradient = diffusion gradient transverse magnetisation dephases during exitation, rephases during readout dephasing = rephasing due to diffusion motion Stepped phase-encoding gradient diffusion gradient Stepped phase-encoding gradient diffusion gradient M repetitions of the sequence M repetitions of the sequence Main Components of the Burst-Diffusion Sequence
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Calculation of ADC and T 2 map Data acquisition Data acquisition N echoes, M repetitions, R points in readout direction per echo data matrix [M x N x R] Post processing Post processing reformation of the data in N separate matrices FT set of N images of the same slice but with increased diffusion and T 2 weighting double exponential fit ADC and T 2 map
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First clinical Results Clinical study: Clinical study: 1.5T Siemens Magnetom Vision MR Scanner Scanning parameters: Scanning parameters: N = 16 echoes FOV = 180 x 180 mm 2 matrix = 128 x 128 Burst-diffusion MR images: Burst-diffusion MR images: T R = 2000 ms T A = 4 min. 16 sec. T 2 -weighted SE images: T 2 -weighted SE images: T R = 1500 ms T A = 1 min. 54 sec. T 2 -weighted SE image T 2 map ADC map Burst-diffusion image low b-value
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Problems Images suffer from low signal-to-noise ratio Images suffer from low signal-to-noise ratio Field-of-view and diffusion sensitisation are coupled Field-of-view and diffusion sensitisation are coupled Need of different sequence for correcting echo-decay Need of different sequence for correcting echo-decay due to T 2 -relaxation due to T 2 -relaxation Only single-slice data can be obtained Only single-slice data can be obtained Motion during and between scans leads to ghosting Motion during and between scans leads to ghosting artifacts in the phase-encode direction artifacts in the phase-encode direction
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Problem Solving Increasing the SNR by: Increasing the SNR by: reducing the number of pulses: 16 9 increasing the flip angle: 16 21 reducing the acquisition bandwidth: 100 kHz 25 kHz (12.5kHz) Uncoupling of readout- and diffusion gradient Uncoupling of readout- and diffusion gradient diffusion gradient independent of FOV Sequence can be used to correct for T 2 -decay Sequence can be used to correct for T 2 -decay
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Phantom : Phantom : Tubes with Acetonitrile, DMSO, H2O and Glycerol Old Sequence: Old Sequence: N = 16 BW = 100 kHz SNR = 7:1 New Sequence: New Sequence: N = 9 BW = 12.5 kHz SNR = 30:1 Phantom Study: Comparison of the old and new Sequence in Terms of SNR low b-value (2 s/mm 2 ) higher b-value (310 s/mm 2 )
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(b j -b 0 ) vs. ln(S j /S 0 ) Single pixel fitSignal averaged
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G diff = G read G diff = G read G diff = 3.67 mT/m b-values: 0.95 - 100 s/mm 2 G diff G read G diff G read G diff = 10 mT/m b-values: 0.11 - 1272 s/mm 2 Acquisition parameters: Acquisition parameters: FOV = 160 x 160 mm 2 matrix = 128 x 128 TR = 2000 ms TA = 4 min. 16 sec. Sequence parameters: Sequence parameters: N = 9 BW = 25 kHz Coupled and uncoupled FOV and Diffusion- Gradient
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The new single-slice Burst-Diffusion Sequence
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First abdominal Images Left: Image obtained with the old sequence Right: Image obtained with the new sequence Comparison in terms of SNR 4 differently diffusion-weighted images
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Multi-slice Burst-Diffusion Sequence Replacing the non-selectice -pulses by slice-selective Replacing the non-selectice -pulses by slice-selective ones ones
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Conclusions Burst can be used for abdominal imaging (regions with Burst can be used for abdominal imaging (regions with short T 2 ) short T 2 ) More b-values over a wide range can be obtained More b-values over a wide range can be obtained (G Diff = 6 mT/m: b-values from 0.05 to 522 s/mm 2 ) (G Diff = 6 mT/m: b-values from 0.05 to 522 s/mm 2 ) Although longer than EPI the Burst-diffusion sequences Although longer than EPI the Burst-diffusion sequences are much shorter than the conventional PGSE Method are much shorter than the conventional PGSE Method
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Future Work Further testing and clinical evaluation of the new Further testing and clinical evaluation of the new Burst-diffusion sequences Burst-diffusion sequences Introduction of navigator echoes in both, the single- Introduction of navigator echoes in both, the single- slice and multi-slice Burst-diffusion sequence slice and multi-slice Burst-diffusion sequence
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Acknowledgements Simon J Doran Simon J Doran Andrzej SK Dzik-Jurasz Andrzej SK Dzik-Jurasz Jan Wolber Jan Wolber Martin O Leach Martin O Leach
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