WO2017182616A1 - Mri with diffusion encoding via spatially nonlinear magnetic field gradients - Google Patents

Mri with diffusion encoding via spatially nonlinear magnetic field gradients Download PDF

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Publication number
WO2017182616A1
WO2017182616A1 PCT/EP2017/059493 EP2017059493W WO2017182616A1 WO 2017182616 A1 WO2017182616 A1 WO 2017182616A1 EP 2017059493 W EP2017059493 W EP 2017059493W WO 2017182616 A1 WO2017182616 A1 WO 2017182616A1
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Prior art keywords
magnetic field
diffusion
magnetic resonance
spatially
linear
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PCT/EP2017/059493
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French (fr)
Inventor
Ralph Roman SINKUS
Joseph Vilmos Hajnal
Rudolf WALTER DE BOER
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Koninklijke Philips N.V.
King' S College London
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Publication of WO2017182616A1 publication Critical patent/WO2017182616A1/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/563Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
    • G01R33/56341Diffusion imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution

Definitions

  • the invention concerns a diffusion encoded magnetic resonance imaging method.
  • This magnetic resonance imaging method acquires magnetic resonance signals that are diffusion weighted.
  • Diffusion-weighted magnetic resonance imaging provides image contrast that is dependent on molecular motion of water.
  • DWI uses a 7 -weighted acquisition sequence with the addition of pulsed linear gradient magnetic fields with zero time integral. This renders the magnetic resonance imaging method sensitive to diffusion.
  • Diffusion Weighted Imaging (DWI) in MRI uses the loss of phase coherence within the imaging voxel - induced by the random walk of the spins under the influence of a linear gradient - to deduce micro-structural information. Since diffusion is typically dyadic (i.e.
  • An object of the invention is to provide a magnetic resonance imaging method that has a better signal-to-noise ratio as compared to currently known DWI methods.
  • An insight of the present invention is that the even order dependence of the spatially non-linearly varying magnetic field induces a coherent phase accumulation in the excited spins in an object, notably in a patient's tissue to be examined.
  • the spatially nonlinearly varying magnetic field may be quadratic, fourth order, sixth order or even higher even order dependent on at least one spatial coordinate.
  • the coherent phase accumulation due to the spatially non-linear even order magnetic field induces a diffusion encoding of the conventional diffusion encoding by a bipolar pair of spatially linear gradients.
  • the conventional diffusion encoding is based in different signal loss due to dephasing dependent on the gradient strength.
  • the present invention achieves a markedly better signal level and signal-to-noise ratio of the diffusion encoded magnetic resonance signal because it relies on a coherent phase change of the net magnetization and not on a de-phasing and thus a loss of signal. It is to be noted however, that although in each spatial dimension a quadratically spatially varying magnetic field induces a coherent phase accumulation in an individual dimension, the ensuing concommitent fields in the other spatial diredftion cause cancellation of the net coherent phase accumulation. This is due to the fact the mangetic field has zero Laplacian. The fourth order and higher even order spatially varying fields with their concimmittent field induce a non-zero net coherent phase accumulation.
  • Classical DWI methods extract information about microstructural tissue complexity from the signal decrease of the MR-magnitude as a function of b-value. Utilization of linear gradients for motion encoding prevents theoretically the use of the MR-phase. Rather, the diffusion information is encoded in the MR-magnitude via global spin dephasing due to Brownian motion with zero net phase shift. This dogma is overturned when considering quadratic gradient fields in space. We demonstrate in theory, experiment, and simulation that the diffusion process leads to a net phase shift with minimal loss in signal magnitude when imaging at the minimum of the quadratic gradient.
  • the spatially non-linear even order temporary magnetic field is combined with a temporary spatially linear gradient magnetic field. From the magnetic resonance signals encoded by the non-linear and linear gradient magnetic field bulk motion of spins can be separated from diffusion motion.
  • the spatially nonlinearly varying magnetic field is modulated in time.
  • Magnetic resonance signals with a coherent phase accumulation are acquired at different values of the modulation rate of the spatially nonlinearly varying magnetic field.
  • From the accumulated coherent phase as a function of the modulation rate the (apparent) diffusion coefficient as well as the fractal dimension that characterises anomalous diffusion can be calculated.
  • Anomalous diffusion imaging is known per se from the paper 'From diffusion-weighted MRI to anomalous diffusion imaging' in MRM59(2008)447-455 by M.T Hall and T.R. Berrick.
  • the present invention appears to the modulation rate of the spatially nonlinearly varying magnetic field of the coherent accumulated phase.
  • the ratio of accumulated phase for different modulation rate is nearly linearly dependent on the fractal dimension of the studied material, e.g. brain tissue of the patient to be examined.
  • the fractal dimension of the anomalous diffusion represents microstructure of the object being examined.
  • the anomalous diffusion may show differences in microstructure of brain tissue.
  • anomalous diffusion, notably it fractal dimension may be employed for tumour characterisation and for therapy response.
  • the application of a spatially quadratic magnetic field can be achieved in practice by the magnetic field of a single coil loop, or a multiple of coil loops. For example, at a modulation rate of about 30ms and an electrical current of 20A using fifty windings causes the accumulated coherent phase to be about lrad in free water.
  • the invetion concerns the magnetic resonance diffusion encoding imaging method based on a non-linear gradient magnetic field pulseof 4 th order or 6 th order or an even order of at least 8 th order in spatial position.
  • the magnetic resonance signals have a coherent phase accumulation due to the spatially nonlinearly varying magnetic field pulse.
  • Figure 1 shows (a) Concept of DWI2, (b,c,d) experimental results in a water phantom, and (e) phase distribution from MC simulations for linear and quadratic coil configuration.
  • DWI Classical DWI is a powerful method for gaining insight into tissue microstructure. Its diagnostic value is currently explored for various applications, from diagnosis over response to therapy to prediction of outcome. Intrinsically, DWI uses the decrease of the MR- magnitude signal as a function of b-value for extracting the mono-exponential or bi- exponential ADC value(s). More complex diffusion information are obtained via stretched exponentials [3], or ADC-values at shorter diffusion time scales via oscillating gradients [4]. Still, all those methods utilize the MR-magnitude information. The inevitable loss in signal characterizing microstructure. DWI 2 overcomes this limitation by using 2nd order spatial field changes for encoding the diffusion information.

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • General Health & Medical Sciences (AREA)
  • Radiology & Medical Imaging (AREA)
  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • General Physics & Mathematics (AREA)
  • Vascular Medicine (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

A magnetic resonance diffusion encoding imaging method is based on a non-linear gradient magnetic field pulse of 4th order or 6th order or an even order of at least 8th order in spatial position. The magnetic resonance signals have a coherent phase accumulation due to the spatially nonlinearly varying magnetic field pulse.

Description

MRI WITH DIFFUSION ENCODING VIA SPATIALLY NONLINEAR MAGNETIC FIELD
GRADIENTS
FIELD OF THE INVENTION
The invention concerns a diffusion encoded magnetic resonance imaging method. This magnetic resonance imaging method acquires magnetic resonance signals that are diffusion weighted.
BACKGROUND OF THE INVENTION
Diffusion-weighted magnetic resonance imaging (DWI) provides image contrast that is dependent on molecular motion of water. Usually DWI uses a 7 -weighted acquisition sequence with the addition of pulsed linear gradient magnetic fields with zero time integral. This renders the magnetic resonance imaging method sensitive to diffusion. Diffusion Weighted Imaging (DWI) in MRI uses the loss of phase coherence within the imaging voxel - induced by the random walk of the spins under the influence of a linear gradient - to deduce micro-structural information. Since diffusion is typically dyadic (i.e. equal # of spins moving in opposed directions), the entire spin ensemble within the imaging voxel does not experience a net phase accrual, but only a loss in total signal magnitude due to dephasing. Hence, classical DWI cannot utilize the MRI-phase information per se.
SUMMARY OF THE INVENTION
An object of the invention is to provide a magnetic resonance imaging method that has a better signal-to-noise ratio as compared to currently known DWI methods.
This object is achieved by the magnetic resonance imaging method as defined in Claim 1.
An insight of the present invention is that the even order dependence of the spatially non-linearly varying magnetic field induces a coherent phase accumulation in the excited spins in an object, notably in a patient's tissue to be examined. The spatially nonlinearly varying magnetic field may be quadratic, fourth order, sixth order or even higher even order dependent on at least one spatial coordinate. The coherent phase accumulation due to the spatially non-linear even order magnetic field induces a diffusion encoding of the conventional diffusion encoding by a bipolar pair of spatially linear gradients. The conventional diffusion encoding is based in different signal loss due to dephasing dependent on the gradient strength. The present invention achieves a markedly better signal level and signal-to-noise ratio of the diffusion encoded magnetic resonance signal because it relies on a coherent phase change of the net magnetization and not on a de-phasing and thus a loss of signal. It is to be noted however, that although in each spatial dimension a quadratically spatially varying magnetic field induces a coherent phase accumulation in an individual dimension, the ensuing concommitent fields in the other spatial diredftion cause cancellation of the net coherent phase accumulation. This is due to the fact the the mangetic field has zero Laplacian. The fourth order and higher even order spatially varying fields with their concimmittent field induce a non-zero net coherent phase accumulation. Classical DWI methods extract information about microstructural tissue complexity from the signal decrease of the MR-magnitude as a function of b-value. Utilization of linear gradients for motion encoding prevents theoretically the use of the MR-phase. Rather, the diffusion information is encoded in the MR-magnitude via global spin dephasing due to Brownian motion with zero net phase shift. This dogma is overturned when considering quadratic gradient fields in space. We demonstrate in theory, experiment, and simulation that the diffusion process leads to a net phase shift with minimal loss in signal magnitude when imaging at the minimum of the quadratic gradient.
These and other aspects of the invention will be further elaborated with reference to the embodiments defined in the dependent Claims.
In a preferred implementation of the invention, the spatially non-linear even order temporary magnetic field is combined with a temporary spatially linear gradient magnetic field. From the magnetic resonance signals encoded by the non-linear and linear gradient magnetic field bulk motion of spins can be separated from diffusion motion.
In another preferred implementation, the spatially nonlinearly varying magnetic field is modulated in time. Magnetic resonance signals with a coherent phase accumulation are acquired at different values of the modulation rate of the spatially nonlinearly varying magnetic field. From the accumulated coherent phase as a function of the modulation rate the (apparent) diffusion coefficient as well as the fractal dimension that characterises anomalous diffusion can be calculated. Anomalous diffusion imaging is known per se from the paper 'From diffusion-weighted MRI to anomalous diffusion imaging' in MRM59(2008)447-455 by M.T Hall and T.R. Berrick. The present invention appears to the modulation rate of the spatially nonlinearly varying magnetic field of the coherent accumulated phase. In fact, the ratio of accumulated phase for different modulation rate is nearly linearly dependent on the fractal dimension of the studied material, e.g. brain tissue of the patient to be examined. The fractal dimension of the anomalous diffusion represents microstructure of the object being examined. Notably, the anomalous diffusion may show differences in microstructure of brain tissue. Also anomalous diffusion, notably it fractal dimension, may be employed for tumour characterisation and for therapy response.
The application of a spatially quadratic magnetic field can be achieved in practice by the magnetic field of a single coil loop, or a multiple of coil loops. For example, at a modulation rate of about 30ms and an electrical current of 20A using fifty windings causes the accumulated coherent phase to be about lrad in free water.
In brief, the invetion concerns the magnetic resonance diffusion encoding imaging method based on a non-linear gradient magnetic field pulseof 4th order or 6th order or an even order of at least 8th order in spatial position.The magnetic resonance signals have a coherent phase accumulation due to the spatially nonlinearly varying magnetic field pulse.
These and other aspects of the invention will be elucidated with reference to the embodiments described hereinafter and with reference to the accompanying drawing wherein
Figure 1 shows (a) Concept of DWI2, (b,c,d) experimental results in a water phantom, and (e) phase distribution from MC simulations for linear and quadratic coil configuration.
DETAILED DESCRIPTION OF THE EMBODIMENTS
In this section the coherent phase accumulation is demonstrated for only one spatial direction (along the z-axis). As mentioned above, in volumeric space the net phase accumulations due to the concommittent fields cancel in the total net phase accumulation. Here, for simplicity only the phase accumulation due to a qudratically varying field in one dimension is illustrated, while ignoring concomittent field conntributions. DWI2 is based upon the idea that a diffusing spin in a spatially varying 2nd order magnetic field (i.e.
Β(ζ)=β*ζ2) will experience only positive phase accrual independent of the direction of motion. Thus, DWI2 can explore the MRI-phase information. Furthermore, the absence of a linear component (i.e. B(z)=a*z) in the proximity around z=0 leads to minimal loss in signal magnitude. Thus, in DWI2 the SNR remains minimally altered when imaging at this preferred position. This opens the gateway to entirely new concepts for diffusion weighted imaging, in particular to elevated sensitivity to micro-architectural complexity currently hidden due to limited SNR.
Experiments used a classical spin-echo sequence with TE=50ms and TR=500ms at 3T (Philips Medical Systems). As shown in the figure, a water sample (a) was placed along the z-symmetry axis of two Helmholtz coils (inner 0=10mm, # 150 windings for each coil, length of each coil=10mm, separation of 8.6mm between coils, 00.3mm for copper wire) which could be operated in linear or quadratic mode. Imaging was done at z=0 with transverse image orientation to explore the effect of the linear or quadratic field on the diffusion of the water molecules. One single sinusoidal gradient pulse was applied after the π/2-pulse and before the π-pulse at v=100Hz with a current of 1 A. Pre-emphasis of the gradient pulse was adjusted to ensure a net pulse area of zero. A magnetostatic field simulation (FEMM 4.2) of the quadratic coil configuration yields β=5300Τ/ηι2 at z=0.
Analytic calculus predicts a net phase-change φ=γϋβ/(2ν2) = (-)0.16 [rad] (with D the water diffusion coefficient and γ the gyromagnetic ratio). Monte Carlo simulations (Camino software [2], #100000 particles, pure water, β=7560Τ/ιη2, v=30Hz) were performed to investigate the correctness of the analytic calculus.
The resulting images of the MR-magnitude and MR-phase for both coil configurations (linear, quadratic) are shown in (b) without (OA) and with application of a current (1A). The linear coil configuration leads - as expected - to a significant reduction in magnitude (c) without any statistically significant phase change (d). This is corroborated by analytic calculus. On the contrary, the quadratic coil configuration leads to no statistically significant loss in magnitude (as expected), while a statistically significant negative phase drift is measured. The measure phase shift of (-)0.24±0.1 lrad agrees within errors with the theoretically expected of (-)0.16rad. Monte Carlo simulations (e) confirmed the net phase shift for the quadratic field configuration (cpAVG=-l .44rad) with excellent agreement to the analytic expression ((ptheory=-1.45rad).
Classical DWI is a powerful method for gaining insight into tissue microstructure. Its diagnostic value is currently explored for various applications, from diagnosis over response to therapy to prediction of outcome. Intrinsically, DWI uses the decrease of the MR- magnitude signal as a function of b-value for extracting the mono-exponential or bi- exponential ADC value(s). More complex diffusion information are obtained via stretched exponentials [3], or ADC-values at shorter diffusion time scales via oscillating gradients [4]. Still, all those methods utilize the MR-magnitude information. The inevitable loss in signal characterizing microstructure. DWI2 overcomes this limitation by using 2nd order spatial field changes for encoding the diffusion information. As expected from theory - and experimentally demonstrated - a quadratic field gradient leads to a minimal loss in signal magnitude in combination with a net shift in phase when operating in close proximity of z=0 for Β(ζ)=βζ2. Monte Carlo simulations of freely diffusing water molecules show excellent agreement between theory and simulation results, further demonstrating the validity of the proposed method. The essential conservation of signal for DWI2 leads therefore to a paradigm shift for DWI as currently inaccessible domains can now be explored.

Claims

CLAIMS:
1. A magnetic resonance imaging method comprising the steps of
applying a diffusion encoding by a spatially non-linear temporary magnetic field and
to apply an acquisition sequence including at least one radio frequency pulse and at least on linear gradient magnetic field pulse to acquire magnetic resonance signals which have a coherent phase accumulation due to the spatially nonlinearly varying magnetic field pulsewherein the spatially non-linear temporary magnetic field is 4th order or 6th order or an even order of at least 8th order in spatial position.
2. A magnetic resonance imaging method as claimed in Claim 1, also including to apply a diffusion encoding by a spatially linear temporary gradient magnetic field pulse
to apply an acquisition sequence including at least one radio frequency pulse and at least one linear gradient magnetic field spatially encoding pulse to acquire magnetic resonance signals that are diffusion weighted by the spatially linear gradient magnetic field pulse,
to separate bulk-motion of diffusion encoded spins from diffusion of diffusion encoded spins by comparison of the magnetic resonance signals that are diffusion weighted by the spatially linear gradient magnetic field pulse with magnetic resonance signals that are diffusion weighted by the spatially nonlinearly varying magnetic field pulse.
3. A magnetic resonance imaging method as claimed in Claim 1,
in which the spatially non-linear temporary magnetic field is modulated in time and
- the magnetic resonance signals which have a coherent phase accumulation are acquired at different values modulation rate of the spatially non-linear temporary magnetic field and a diffusion coefficient and/or a fractal dimension associated with anomalous diffusion are calculated form the accumulated coherent phases as a function of the modulation rate.
4. A magnetic resonance examination system configured to perform a magnetic resonance imaging method as claimed in any one of claims 1 to 4.
5. A computer programme comprising instructions, notably when executed by a processor of a magnetic resonance examination system, to carry-out an magnetic resonance imaging method as claimed in any one of Claims 1 to 4.
PCT/EP2017/059493 2016-04-22 2017-04-21 Mri with diffusion encoding via spatially nonlinear magnetic field gradients WO2017182616A1 (en)

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EP16166541 2016-04-22

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Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
KITTLER W C ET AL: "Parallel acquisition ofq-space using second order magnetic fields for single-shot diffusion measurements", JOURNAL OF MAGNETIC RESONANCE, vol. 244, 24 April 2014 (2014-04-24), pages 46 - 52, XP028854899, ISSN: 1090-7807, DOI: 10.1016/J.JMR.2014.04.011 *
LIN G ET AL: "A novel propagator approach for NMR signal attenuation due to anisotropic diffusion under various magnetic field gradients", CHEMICAL PHYSICS LETTERS, ELSEVIER BV, NL, vol. 335, no. 3-4, 23 February 2001 (2001-02-23), pages 249 - 256, XP027291766, ISSN: 0009-2614, [retrieved on 20010223], DOI: 10.1016/S0009-2614(01)00013-6 *
LOENING N M ET AL: "One-Dimensional DOSY", JOURNAL OF MAGNETIC RESONA, ACADEMIC PRESS, ORLANDO, FL, US, vol. 153, no. 1, 1 November 2001 (2001-11-01), pages 103 - 112, XP004406737, ISSN: 1090-7807, DOI: 10.1006/JMRE.2001.2423 *
M.T HALL; T.R. BERRICK: "From diffusion-weighted MRI to anomalous diffusion imaging", MRM, vol. 59, 2008, pages 447 - 455, XP055386724, DOI: doi:10.1002/mrm.21453
MATT G. HALL ET AL: "From diffusion-weighted MRI to anomalous diffusion imaging", MAGNETIC RESONANCE IN MEDICINE., vol. 59, no. 3, 28 January 2008 (2008-01-28), US, pages 447 - 455, XP055386724, ISSN: 0740-3194, DOI: 10.1002/mrm.21453 *
SINKUS RALPH ET AL: "DWI^2: exploring the MRI-phase for imaging diffusion", PROCEEDINGS OF THE INTERNATIONAL SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE, 24ND ANNUAL MEETING AND EXHIBITION, SINGAPORE, 7-13 MAY 2016, vol. 24, 23 April 2016 (2016-04-23), pages 1, XP040681044 *

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