[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

US20140125338A1 - Anisotropic Diffusion Phantom For Calibration Of Diffusion Tensor Imaging Pulse Sequences Used In MRI - Google Patents

Anisotropic Diffusion Phantom For Calibration Of Diffusion Tensor Imaging Pulse Sequences Used In MRI Download PDF

Info

Publication number
US20140125338A1
US20140125338A1 US14/156,493 US201414156493A US2014125338A1 US 20140125338 A1 US20140125338 A1 US 20140125338A1 US 201414156493 A US201414156493 A US 201414156493A US 2014125338 A1 US2014125338 A1 US 2014125338A1
Authority
US
United States
Prior art keywords
diffusion
anisotropic
substance
anisotropic diffusion
phantom
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US14/156,493
Inventor
Artur Krzyzak
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to US14/156,493 priority Critical patent/US20140125338A1/en
Publication of US20140125338A1 publication Critical patent/US20140125338A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • 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
    • G01R33/58Calibration of imaging systems, e.g. using test probes, Phantoms; Calibration objects or fiducial markers such as active or passive RF coils surrounding an MR active material
    • 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

Definitions

  • the subject matter of the invention concerns the anisotropic diffusion phantom for the calibration of any diffusion MR-DTI imaging sequence and a method for the calibration of any Magnetic Resonance Imaging (MRI) scanner by using anisotropic diffusion models based on the b′′ matrix, which is a quantity specific for every magnetic resonance (MR) imaging sequence and MRI scanner that are used, employed in the examination of biological tissues, solids, amorphous materials and liquids.
  • MRI Magnetic Resonance Imaging
  • the values of the ⁇ b′′ matrix that were needed to calculate the diffusion tensor were determined analytically and separately for every diffusion MR imaging sequence and MRI scanner; the results were approximate only due to the complex formulae used in the calculation.
  • a single value of the >80 b′′ matrix that was assumed for the entire volume of the object in question was used for the calculation of the diffusion tensor
  • FIG. 1 shows an outline of an anisotropic diffusion phantom in accordance with an embodiment of the invention.
  • FIG. 2 is a diagram of a laboratory reference system.
  • a disadvantage of the diffusion tensor calculation methods known in the art is the large contribution of calculation errors as the approximate “b” matrix values are used and a lack of any spatial distribution of the b′′ matrix is
  • a calibration method of the invention for any MRI scanner eliminates these shortages and enables the precise and spatial determination of “b” matrix values for any MRI scanner and any imaging sequence, in particular DTI.
  • the “b” matrix is determined precisely based on the anisotropic diffusion model, for each voxel of the volume tested.
  • the anisotropic diffusion phantom for the calibration of any MR imaging sequence of the invention is any anisotropic diffusion model of any shape for the hydrogen contained in H 2 O or in LC, for example.
  • the diffusion model according to the invention is preferably a pipe with a bundle of capillaries filled with H 2 O, hydrogel or any other substance that contains hydrogen.
  • Other 3D shapes, preferably cylindrical, filled with densely non-magnetic cylindrical rods without hydrogen nuclei could be regarded as a reference diffusion model as well.
  • the rods are preferably made of glass, Teflon or any other material with similar properties. They are immersed in H 2 O, hydrogel or any other substance that contains hydrogen nuclei.
  • the diffusion model is an array of thin glass plates separated by the layers of H 2 O, hydrogel or any other substance that contains hydrogen nuclei.
  • the diffusion model can also be formed by anisotropic liquid crystals (LC) or others for other elements that may be used in imaging in future, such as for example 2 H, 3 He, 13 C, 14 N, 17 O, 19 F, 29 Si, 31 P, etc.
  • LC anisotropic liquid crystals
  • the model being a pipe with a bundle of capillaries, has the capillaries selected so that the restriction of diffusion at a temperature in the direction perpendicular to the capillary axis is significant with respect to the range of diffusion times ⁇ in the diffusion MR imaging sequence.
  • the diffusion limit is determined for specified diffusion times ⁇ and temperature T based on the fact that free diffusion is given by the Einstein-Smoluchowski equation:
  • the anisotropic diffusion model in the system of principal axes has no less than two distinct diffusion tensor components, wherein for the phantom made of a bundle of capillaries it is a symmetrical diffusion tensor D:
  • the anisotropic diffusion model is determined as follows:
  • Any MRI scanner can be calibrated by using the method of the invention in order to measure the “b” matrix precisely and spatially. It leads consequently into a precise measurement of the diffusion tensor assuming that in biological tissues it is primarily the water diffusion tensor.
  • the diffusion tensor is measured according to the known formula:
  • the anisotropic diffusion phantom of the invention For the calibration of any MR imaging sequence by using the anisotropic diffusion phantom of the invention, the anisotropic diffusion phantom is placed inside the volume of the MRI scanner tested. Subsequently, the number of “b” matrices needed for the calculation of the diffusion tensor is determined based on the anisotropic diffusion model. This constitutes no less than six “b” matrices to be defined spatially for each voxel and for the specific directions of the diffusion gradient vector. Therefore, in the simplest case, 36 “b” matrices and one “b 0 ” matrix—without diffusion gradients—are determined.
  • a system of no less than six equations is solved for the distinct diffusion tensor D values.
  • a diffusion tensor value is used based on the specified diffusion model for the diffusion time ⁇ and the temperature of the respective experiment.
  • Various diffusion model tensor values are preferably obtained by rotating the anisotropic diffusion phantom inside the MRI scanner volume in question.
  • the anisotropic diffusion phantom is a diffusion model for which the diffusion tensor in the system of the principal axes assumes known values.
  • the diffusion model is rotated by various Euler angles, so that the determinant D M of the matrix, whose columns correspond to the components of the diffusion tensor D is different from zero after each rotation.
  • D M ( D 11 D 12 D 13 D 14 D 15 D 16 D 21 D 22 D 23 D 24 D 25 D 26 D 31 D 32 D 33 D 34 D 35 D 36 D 41 D 42 D 43 D 44 D 45 D 46 D 51 D 52 D 53 D 54 D 55 D 56 D 61 D 62 D 63 D 64 D 65 D 66 ) ,
  • a diffusion model for the volume examined is formed and selected for an RF coil depending on its shape and parameters.
  • the calibration is repeated every time before the change of the imaging sequence parameters, in particular when changing the diffusion gradients.
  • the advantage of the calibration method for any MRI scanner using anisotropic diffusion models based on the anisotropic diffusion phantom for the calibration of any diffusion MR-DTI imaging sequence is the precise and spatial determination of the “b” matrix value.
  • the calibration method provides a real possibility to compare the diffusion tensor values for the objects tested, which are derived by using various MRI scanners and distinct MR imaging sequences.
  • FIG. 1 shows the outline of the anisotropic diffusion phantom in the form of an array of thin glass plates separated with H 2 O layers and
  • FIG. 2 shows the phantom (diffusion model) rotation method by successive Euler angles.
  • the anisotropic diffusion phantom is made from thin glass plates 1 , each of which is separated with a 10 ⁇ m H 2 O layer 2 .
  • the system of principal axes (E) shown in FIG. 2 is the laboratory reference system (L) related to the diffusion model after rotation and their mutual orientation as defined by the Euler angles
  • ⁇ L ( ⁇ L , ⁇ L , ⁇ L ).
  • the diffusion tensor measured in the laboratory system (L) has 6 components different from zero.
  • the diffusion tensor is defined by three principal components and three Euler angles ⁇ L .
  • the tensor values in the laboratory system (L) are determined by a rotation transformation R( ⁇ L , ⁇ L , ⁇ L ) according to the formula:
  • the diffusion model is rotated by various Euler angles, so that the determinant D M of the matrix, whose columns correspond to the components of the diffusion tensor D, is different from zero after each rotation.

Landscapes

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

Abstract

The subject matter of the invention concerns the anisotropic diffusion phantom for the calibration of any diffusion MR-DTI imaging sequence and a method for the calibration of all the MRI scanners by using anisotropic diffusion models based on the “b” matrix, which is a quantity specific for every magnetic resonance (MR) imaging sequence and the MRI scanner used. It has application in the study of solids, amorphous materials, liquids and biological tissues. The anisotropic diffusion phantom for the calibration of any MR imaging sequence is any anisotropic diffusion model of any shape for the hydrogen H2 contained in H2O or LC, for example. The diffusion standard according to the invention is preferably a pipe with a bundle of capillaries filled with H2O, hydrogel or any other substance that contains hydrogen nuclei or any volume, preferably cylindrical, filled with H2O, hydrogel or any other substance that contains hydrogen nuclei or densely filled with non-magnetic cylindrical rods free of hydrogen nuclei. In another embodiment, the diffusion model is an array of thin glass plates (1) separated with layers of H2O, hydrogel or any other substance that contains hydrogen nuclei (2). The model, being a pipe with a bundle of capillaries, has the capillaries selected so that the restriction of diffusion at a temperature in the direction perpendicular to the capillary axis is significant with respect to the range of diffusion times Δ in the diffusion MR imaging sequence. For the calibration of any MR imaging sequence using the anisotropic diffusion phantom of the invention, the anisotropic diffusion phantom is placed in the volume of the MRI scanner tested. Subsequently, the number of “b” matrices needed for the calculation of the diffusion tensor is determined based on the anisotropic diffusion model. This constitutes no less than six “b” matrices as defined spatially for each voxel and for the specific directions of the diffusion gradient vector. Therefore, in the simplest case, 36 “b” matrices and one “bo” matrix without diffusion gradients are determined. The anisotropic diffusion phantom is a diffusion model for which the diffusion tensor in the system of principal axes assumes known values. The diffusion model is rotated by various Euler angles, so that the determinant DM of the matrix whose columns correspond to the components of the diffusion tensor D is different from zero after each rotation.

Description

    BACKGROUND
  • The subject matter of the invention concerns the anisotropic diffusion phantom for the calibration of any diffusion MR-DTI imaging sequence and a method for the calibration of any Magnetic Resonance Imaging (MRI) scanner by using anisotropic diffusion models based on the b″ matrix, which is a quantity specific for every magnetic resonance (MR) imaging sequence and MRI scanner that are used, employed in the examination of biological tissues, solids, amorphous materials and liquids.
  • In the prior art, the values of the Λλb″ matrix that were needed to calculate the diffusion tensor were determined analytically and separately for every diffusion MR imaging sequence and MRI scanner; the results were approximate only due to the complex formulae used in the calculation. Alternatively, a single value of the >80 b″ matrix that was assumed for the entire volume of the object in question was used for the calculation of the diffusion tensor
  • BRIEF DESCRIPTION OF DRAWINGS
  • Attention is now directed to the drawings, where like reference numerals or characters indicate corresponding or like components. In the drawings:
  • FIG. 1 shows an outline of an anisotropic diffusion phantom in accordance with an embodiment of the invention; and
  • FIG. 2 is a diagram of a laboratory reference system.
  • DETAILED DESCRIPTION OF THE DRAWINGS
  • A disadvantage of the diffusion tensor calculation methods known in the art is the large contribution of calculation errors as the approximate “b” matrix values are used and a lack of any spatial distribution of the b″ matrix is
  • assumed. Therefore, it is rather difficult to determine the water diffusion fluctuations in the object examined by using an MRI scanner properly, precisely and quantitatively, and the reproducibility of the results is non-existent. Distinct MR sequences occur for various MRI scanners; in consequence, the results are discrepant and hardly comparable. The results are fraught with errors as it is impossible to precisely determine the “b” matrix values.
  • The following acronyms will be used throughout the document:
  • MR—Magnetic Resonance
  • DTI—Diffusion Tensor Imaging
  • LC—Liquid Crystal
  • A calibration method of the invention for any MRI scanner eliminates these shortages and enables the precise and spatial determination of “b” matrix values for any MRI scanner and any imaging sequence, in particular DTI.
  • In the method of the invention, the “b” matrix is determined precisely based on the anisotropic diffusion model, for each voxel of the volume tested.
  • The anisotropic diffusion phantom for the calibration of any MR imaging sequence of the invention is any anisotropic diffusion model of any shape for the hydrogen contained in H2O or in LC, for example. The diffusion model according to the invention is preferably a pipe with a bundle of capillaries filled with H2O, hydrogel or any other substance that contains hydrogen. Other 3D shapes, preferably cylindrical, filled with densely non-magnetic cylindrical rods without hydrogen nuclei could be regarded as a reference diffusion model as well. The rods are preferably made of glass, Teflon or any other material with similar properties. They are immersed in H2O, hydrogel or any other substance that contains hydrogen nuclei. In one embodiment, the diffusion model is an array of thin glass plates separated by the layers of H2O, hydrogel or any other substance that contains hydrogen nuclei. The diffusion model can also be formed by anisotropic liquid crystals (LC) or others for other elements that may be used in imaging in future, such as for example 2H, 3He, 13C, 14N, 17O, 19F, 29Si, 31P, etc. The model, being a pipe with a bundle of capillaries, has the capillaries selected so that the restriction of diffusion at a temperature in the direction perpendicular to the capillary axis is significant with respect to the range of diffusion times Δ in the diffusion MR imaging sequence. For the diffusion model filled with water at ambient temperature, it is within a range of 0.1 μm to 100 μm. For hydrogel, the values are lower. The free diffusion of water molecules across the capillaries or across the cylindrical rods or perpendicularly to the plane of the thin glass plates is inhibited by the opposite capillary or rod wall or by the plane of the opposite thin glass plate and restricts the diffusion process. By adjusting the capillary diameters, cylindrical rod diameters or the thickness of the layers of H2O, hydrogel or any other substance that contains hydrogen nuclei between thin glass plates, the diffusion limit is determined for specified diffusion times Δ and temperature T based on the fact that free diffusion is given by the Einstein-Smoluchowski equation:
  • ( - o ) ( - o ) = 6 Dt [ 1 ]
  • where:
    Figure US20140125338A1-20140508-P00001
    —position vector of the diffusing molecule at time t,
    Figure US20140125338A1-20140508-P00002
    —initial position vector.
    The equation determines the relation between the average square of the path and the diffusion coefficient D.
  • The anisotropic diffusion model in the system of principal axes has no less than two distinct diffusion tensor components, wherein for the phantom made of a bundle of capillaries it is a symmetrical diffusion tensor D:
  • ( D xx D xy D xz D yx D yy D yz D zx D zy D zz )
  • which obtains the following form after diagonalisation in the system of the principal axes:
  • ( D 1 0 0 0 D 2 0 0 0 D 3 )
  • where:
    • Dij—components of the symmetrical diffusion tensor in the laboratory system,
    • D1, D2—diffusion coefficients determined in the transverse direction of the capillary,
    • D3—diffusion coefficient in the longitudinal direction of the capillary.
  • In the case in question: D1=D2 and D2≠D3.
  • In the present invention, the anisotropic diffusion model is determined as follows:
      • typical one dimensional experiments are carried out for the measurement of the diffusion coefficients for the anisotropy directions in order to determine e.g. D1, D2 and D3 depending on the diffusion time and temperature. Thus, an anisotropic diffusion model is obtained, being a function of temperature T and diffusion time Δ.
  • Any MRI scanner can be calibrated by using the method of the invention in order to measure the “b” matrix precisely and spatially. It leads consequently into a precise measurement of the diffusion tensor assuming that in biological tissues it is primarily the water diffusion tensor.
  • The diffusion tensor is measured according to the known formula:
  • ln ( A ( b ) A ( 0 ) ) = - i = 1 3 j = 1 3 b ij D ij [ 2 ]
  • where:
    • A(b)—echo signal (MR image intensity), measured for each voxel,
    • A(0)—MR image intensity for b=0
    • bij—element of the symmetrical “b” matrix,
    • bij−—element of the symmetrical diffusion tensor D.
  • It follows from formula [2] that for the DTI experiments, in order to calculate the water diffusion tensor, wherein the symmetrical tensor is a 3×3 matrix, no less than seven MR experiments need to be carried out, for which the MR sequences shall contain six distinct non-collinear directions of diffusion gradients and one (the seventh) direction without diffusion gradients applied. Hence, for the simplest DTI experiment, no less than six symmetrical “b” matrices, each of which contains six distinct components, are determined for each diffusion gradient vector.
  • For the calibration of any MR imaging sequence by using the anisotropic diffusion phantom of the invention, the anisotropic diffusion phantom is placed inside the volume of the MRI scanner tested. Subsequently, the number of “b” matrices needed for the calculation of the diffusion tensor is determined based on the anisotropic diffusion model. This constitutes no less than six “b” matrices to be defined spatially for each voxel and for the specific directions of the diffusion gradient vector. Therefore, in the simplest case, 36 “b” matrices and one “b0” matrix—without diffusion gradients—are determined.
  • In order to determine the value of the “b” matrix for the direction of the diffusion gradient vector, a system of no less than six equations is solved for the distinct diffusion tensor D values. For a diffusion gradient vector direction, a diffusion tensor value is used based on the specified diffusion model for the diffusion time Δ and the temperature of the respective experiment. Various diffusion model tensor values are preferably obtained by rotating the anisotropic diffusion phantom inside the MRI scanner volume in question. The anisotropic diffusion phantom is a diffusion model for which the diffusion tensor in the system of the principal axes assumes known values. The diffusion model is rotated by various Euler angles, so that the determinant DM of the matrix, whose columns correspond to the components of the diffusion tensor D is different from zero after each rotation.

  • det(D M)≠0
  • The following matrix is derived in the measurements:
  • D M = ( D 11 D 12 D 13 D 14 D 15 D 16 D 21 D 22 D 23 D 24 D 25 D 26 D 31 D 32 D 33 D 34 D 35 D 36 D 41 D 42 D 43 D 44 D 45 D 46 D 51 D 52 D 53 D 54 D 55 D 56 D 61 D 62 D 63 D 64 D 65 D 66 ) ,
  • where for Dij:
    • i—successive components of the diffusion tensor: xx, yy, zz, xy, xz, yz,
    • j=in the range of 1 to 6—successive sets of Euler angles.
      For the calculation of the “b” matrix values for a direction of the diffusion gradient vector, the following system of equations is solved, derived from equation [2]:

  • L=bD M,  [3]
  • where:
    • b—six calculated components of the “b” matrix converted into the vector form,
    • DM—matrix whose columns are formed by the components of the model diffusion tensor after successive rotations by various Euler angles,
    • L—successive
  • ln ( A ( b ) A ( 0 ) )
  • values from measurements (based on MR images) converted into the form of a transposed vector.
    The system of equations [3] is solved for the remaining (no less than six non-collinear) directions of diffusion gradients. Thus, 36 “b” matrices and a “b0” matrix are derived. Therefore, the “b” matrix values are obtained for the specific directions of diffusion gradients and for each voxel of the volume in question.
  • Based on the calibration method of the invention, a diffusion model for the volume examined is formed and selected for an RF coil depending on its shape and parameters. The calibration is repeated every time before the change of the imaging sequence parameters, in particular when changing the diffusion gradients.
  • The advantage of the calibration method for any MRI scanner using anisotropic diffusion models based on the anisotropic diffusion phantom for the calibration of any diffusion MR-DTI imaging sequence is the precise and spatial determination of the “b” matrix value. As a result it is possible, contrary to the prior art, to precisely measure the diffusion tensor, first of all in biological systems, but also in other systems. Furthermore, the calibration method provides a real possibility to compare the diffusion tensor values for the objects tested, which are derived by using various MRI scanners and distinct MR imaging sequences.
  • EXAMPLE
  • The following operations were performed for the calibration of an MSED (Multislice Spin Echo Diffusion) sequence in an MRI scanner with a superconducting magnet (field intensity: 4.7 T) by using an anisotropic diffusion model at T=21° C. and diffusion time Δ=50 ms:
    • 1. An anisotropic diffusion phantom in the form of an array of thin glass plates separated with H2O layers (thickness: 10 μm) was placed in an MRI scanner with a superconducting magnet (field intensity: 4.7 T) in the influence area of a 3 cm birdcage RF coil. Tomographic measurements were carried out by using an MSED sequence.
    • 2. MR tomographic measurements for the determination of the spatial “b” matrix for one direction of the diffusion gradient vector were carried out for six distinct positions defined by the rotation of the anisotropic diffusion phantom by Euler angles. The entire measurement volume tested in the MRI scanner in the interaction area of the RF coil was scanned to obtain the spatial distribution of the “b” matrix. The measurements were repeated for further diffusion gradient vector directions. A total of 36 MR measurements were carried out in six distinct diffusion gradient vector positions and an additional scan for the diffusion gradient vector=0.
    • 3. Subsequently, the operations in steps 1 and 2 were repeated for the other sequence parameters; as a result, a digital record of the spatial “b” matrix values was derived that corresponded to various imaging sequence parameters. The “b” matrix values, thus obtained, enabled the precise calculation of the diffusion tensor by using a DTI sequence in the parameter range for which the “b” matrix value was determined.
  • The anisotropic diffusion phantom and calibration method for any MR imaging sequence according to the embodiment is shown in the figure, wherein FIG. 1 shows the outline of the anisotropic diffusion phantom in the form of an array of thin glass plates separated with H2O layers and FIG. 2 shows the phantom (diffusion model) rotation method by successive Euler angles.
  • The anisotropic diffusion phantom is made from thin glass plates 1, each of which is separated with a 10 μm H2O layer 2. The system of principal axes (E) shown in FIG. 2 is the laboratory reference system (L) related to the diffusion model after rotation and their mutual orientation as defined by the Euler angles

  • ΩL=(αLLL).
  • Due to the symmetry, the diffusion tensor measured in the laboratory system (L) has 6 components different from zero. In the system of principal axes (E), the diffusion tensor is defined by three principal components and three Euler angles ΩL. For a known tensor in the system of principal axes (E) and known Euler angles, the tensor values in the laboratory system (L) are determined by a rotation transformation R(αLLL) according to the formula:

  • D L =R −1L)D E RL)
  • where:
    • R(ΩL)—Wigner rotation matrix,
    • ΩL=(αLLL)—Euler angles that define the orientations of the system of principal axes (E) with respect to the laboratory system (L),
    • DL, DE—diffusion tensors in L and E systems, respectively.
  • The diffusion model is rotated by various Euler angles, so that the determinant DM of the matrix, whose columns correspond to the components of the diffusion tensor D, is different from zero after each rotation.

  • det(D M)≠0

Claims (9)

1. An anisotropic diffusion phantom forming a model for the calibration of an MR-DTI imaging sequence for an MR scanner at a specified temperature for a specified range of diffusion times, characterised in that it is formed by a volume densely filled with non-magnetic elements (1) aligned in parallel to at least one common parallel alignment axis and a substance (2) that contains hydrogen nuclei, the non-magnetic elements (1) and the substance (2) arranged such that diffusion of the substance (2) that contains hydrogen nuclei is significantly restricted in the direction perpendicular to the parallel alignment axis for the specified temperature with respect to the specified range of diffusion times.
2. The anisotropic diffusion phantom according to claim 2, wherein the non-magnetic elements form a bundle of capillaries filled with the substance (2) that contains hydrogen nuclei.
3. The anisotropic diffusion phantom according to claim 2, wherein the non-magnetic elements form a bundle of rods surrounded by the substance (2) that contains hydrogen nuclei.
4. The anisotropic diffusion phantom according to claim 2, wherein the non-magnetic elements form an array of thin plates (1) between which the substance (2) that contains hydrogen nuclei is located.
5. The anisotropic diffusion phantom according to claim 2, wherein the substance (2) that contains hydrogen nuclei is H2O or hydrogel.
6. The anisotropic diffusion phantom according to claim 2, wherein the substance (2) that contains hydrogen nuclei comprises liquid crystals (LC).
7. The anisotropic diffusion phantom according to claim 2, wherein the substance (2) that contains hydrogen nuclei comprises a substance containing 2H, 3He, 13C, 14N, 17O, 19F, 29Si, 31P etc.
8. The anisotropic diffusion phantom according to claim 2, wherein the non-magnetic elements are made of glass or Teflon.
9. The anisotropic diffusion phantom according to claim 2, wherein the non-magnetic elements are free of hydrogen nuclei.
US14/156,493 2008-05-26 2014-01-16 Anisotropic Diffusion Phantom For Calibration Of Diffusion Tensor Imaging Pulse Sequences Used In MRI Abandoned US20140125338A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US14/156,493 US20140125338A1 (en) 2008-05-26 2014-01-16 Anisotropic Diffusion Phantom For Calibration Of Diffusion Tensor Imaging Pulse Sequences Used In MRI

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
PL385276A PL385276A1 (en) 2008-05-26 2008-05-26 Anisotropic diffusion phantom for calibration of the optional sequence of visualisation of MR, DTI and method of calibration of any MR tomograph
PLP.385276 2008-05-26
PCT/PL2009/000051 WO2009145648A1 (en) 2008-05-26 2009-05-19 Anisotropic diffusion phantom for calibration of diffusion tensor imaging pulse sequences used in mri
US99476010A 2010-11-25 2010-11-25
US14/156,493 US20140125338A1 (en) 2008-05-26 2014-01-16 Anisotropic Diffusion Phantom For Calibration Of Diffusion Tensor Imaging Pulse Sequences Used In MRI

Related Parent Applications (2)

Application Number Title Priority Date Filing Date
US12/994,760 Continuation US8643369B2 (en) 2008-05-26 2009-05-19 Anisotropic diffusion phantom for calibration of diffusion tensor imaging pulse sequences used in MRI
PCT/PL2009/000051 Continuation WO2009145648A1 (en) 2008-05-26 2009-05-19 Anisotropic diffusion phantom for calibration of diffusion tensor imaging pulse sequences used in mri

Publications (1)

Publication Number Publication Date
US20140125338A1 true US20140125338A1 (en) 2014-05-08

Family

ID=40972906

Family Applications (2)

Application Number Title Priority Date Filing Date
US12/994,760 Active 2030-12-22 US8643369B2 (en) 2008-05-26 2009-05-19 Anisotropic diffusion phantom for calibration of diffusion tensor imaging pulse sequences used in MRI
US14/156,493 Abandoned US20140125338A1 (en) 2008-05-26 2014-01-16 Anisotropic Diffusion Phantom For Calibration Of Diffusion Tensor Imaging Pulse Sequences Used In MRI

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US12/994,760 Active 2030-12-22 US8643369B2 (en) 2008-05-26 2009-05-19 Anisotropic diffusion phantom for calibration of diffusion tensor imaging pulse sequences used in MRI

Country Status (5)

Country Link
US (2) US8643369B2 (en)
EP (1) EP2286258B1 (en)
JP (3) JP2011520582A (en)
PL (2) PL385276A1 (en)
WO (1) WO2009145648A1 (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7994784B2 (en) * 2007-07-20 2011-08-09 Medical College Of Georgia Research Institute, Inc. Systems and methods for rescaling image intensities with diffusion MRI to synthesize complex diffusive geometries
US8134363B2 (en) * 2007-07-20 2012-03-13 Medical College Of Georgia Research Institute, Inc. Test object for use with diffusion MRI and system and method of synthesizing complex diffusive geometries using novel gradient directions
US8169216B2 (en) * 2007-07-20 2012-05-01 Medical College Of Georgia Research Institute, Inc. System and method for synthesizing crossing ADC distributions via reassembly of multiple k-spaces
US8098068B2 (en) * 2007-07-20 2012-01-17 Medical College Of Georgia Research Institute, Inc. Systems and methods for parametric mapping for correction of noise-based systematic bias of DTI metrics, using a DTI mapping phantom
PL385276A1 (en) * 2008-05-26 2009-12-07 Instytut Fizyki Jądrowej Pan Im. Henryka Niewodniczańskiego Anisotropic diffusion phantom for calibration of the optional sequence of visualisation of MR, DTI and method of calibration of any MR tomograph
US9262942B2 (en) * 2010-03-11 2016-02-16 Hubert Noras MRI training device
WO2016007939A1 (en) 2014-07-11 2016-01-14 Psychology Software Tools, Inc. Universal, modular temperature controlled mri phantom for calibrated anisotropic and isotropic imaging including hollow fluid filled tubular textiles for calibrated anisotropic imaging
PL232529B1 (en) * 2015-07-30 2019-06-28 Akademia Gorniczo Hutnicza Im Stanislawa Staszica W Krakowie Method for calibration of the diffusion imaging sequences in the dMRI-type experiment carried out on the MR tomograph
WO2017035626A1 (en) * 2015-09-04 2017-03-09 Synaptive Medical (Barbados) Inc. Cerebrospinal diffusion phantom
EP3807667A4 (en) 2018-06-16 2022-06-01 Psychology Software Tools, Inc. Mri phantom having filaments of integral textile axon simulations and anisotropic homogeneity mri phantom using the filaments
US11959990B2 (en) 2018-06-16 2024-04-16 Psychology Software Tools, Inc MRI phantom having filaments of integral textile axon simulations and anisotropic homogeneity MRI phantom using the filaments
CN111125900B (en) * 2019-12-19 2024-02-27 杭州电子科技大学 Method and system for calculating Casimir acting force of three-layer structure of anisotropic ferrite
US11181601B1 (en) 2020-05-19 2021-11-23 Wisconsin Alumni Research Foundation Systems and methods for magnetic resonance phantoms
PL437791A1 (en) 2021-05-06 2022-11-07 Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie Imaging method in nuclear magnetic resonance experiment
PL444567A1 (en) * 2023-04-25 2024-10-28 Uniwersytet W Białymstoku Phantom for testing planar diffusion in nuclear magnetic resonance imaging

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7038451B2 (en) * 2003-12-18 2006-05-02 Siemens Aktiengesellschaft Method, phantom stripe structure and device for determining the modulation transfer function (MTF) of a medical MR system
US20090058417A1 (en) * 2007-07-20 2009-03-05 Yanasak Nathan E Test object for use with diffusion MRI and system and method of synthesizing complex diffusive geometries using novel gradient directions

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3457999B2 (en) * 1994-05-24 2003-10-20 株式会社日立メディコ Inspection equipment using nuclear magnetic resonance
US6670812B1 (en) * 2002-09-13 2003-12-30 Ge Medical Systems Global Technology, Llc B-value calculation and correction using a linear segment gradient waveform model
US6969991B2 (en) * 2002-12-11 2005-11-29 The Board Of Trustees Of The Leland Stanford Junior University Correction of the effect of spatial gradient field distortions in diffusion-weighted imaging
JP4387885B2 (en) * 2004-06-30 2009-12-24 株式会社東芝 Ultrasonic therapy device
DE202005001885U1 (en) * 2004-12-23 2005-05-12 Brainlab Ag Phantom for diffusion tensor imaging in nuclear medicine comprises one or more fibrous structures through which a fluid is able to diffuse in an anisotropic manner to simulate a diffusion in a body made from animal tissue
KR100799569B1 (en) * 2005-12-08 2008-01-31 한국전자통신연구원 Phantom for diffusion tensor imaging
PL385276A1 (en) * 2008-05-26 2009-12-07 Instytut Fizyki Jądrowej Pan Im. Henryka Niewodniczańskiego Anisotropic diffusion phantom for calibration of the optional sequence of visualisation of MR, DTI and method of calibration of any MR tomograph
WO2010085796A2 (en) * 2009-01-26 2010-07-29 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Office Of Technology Transfer, National Institutes Of Health A phantom for diffusion mri imaging

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7038451B2 (en) * 2003-12-18 2006-05-02 Siemens Aktiengesellschaft Method, phantom stripe structure and device for determining the modulation transfer function (MTF) of a medical MR system
US20090058417A1 (en) * 2007-07-20 2009-03-05 Yanasak Nathan E Test object for use with diffusion MRI and system and method of synthesizing complex diffusive geometries using novel gradient directions

Also Published As

Publication number Publication date
WO2009145648A1 (en) 2009-12-03
PL2286258T3 (en) 2019-03-29
EP2286258B1 (en) 2018-08-15
US8643369B2 (en) 2014-02-04
JP2011520582A (en) 2011-07-21
JP2016147094A (en) 2016-08-18
US20110074423A1 (en) 2011-03-31
EP2286258A1 (en) 2011-02-23
PL385276A1 (en) 2009-12-07
JP2014223546A (en) 2014-12-04
JP6270174B2 (en) 2018-01-31

Similar Documents

Publication Publication Date Title
US8643369B2 (en) Anisotropic diffusion phantom for calibration of diffusion tensor imaging pulse sequences used in MRI
Poupon et al. New diffusion phantoms dedicated to the study and validation of high‐angular‐resolution diffusion imaging (HARDI) models
Mori Introduction to diffusion tensor imaging
Mori et al. Introduction to diffusion tensor imaging: And higher order models
US7643863B2 (en) Diffusion tensor and q-space MRI specimen characterization
US8134363B2 (en) Test object for use with diffusion MRI and system and method of synthesizing complex diffusive geometries using novel gradient directions
US7994784B2 (en) Systems and methods for rescaling image intensities with diffusion MRI to synthesize complex diffusive geometries
US8098068B2 (en) Systems and methods for parametric mapping for correction of noise-based systematic bias of DTI metrics, using a DTI mapping phantom
CN107561112B (en) A kind of magnetic nuclear resonance method obtaining rock permeability section
Yanasak et al. Use of capillaries in the construction of an MRI phantom for the assessment of diffusion tensor imaging: demonstration of performance
Kłodowski et al. Innovative anisotropic phantoms for calibration of diffusion tensor imaging sequences
Komlosh et al. Anisotropic phantom to calibrate high-q diffusion MRI methods
Özarslan et al. Double pulsed field gradient (double‐PFG) MR imaging (MRI) as a means to measure the size of plant cells
US20140357979A1 (en) Mri tractography based transit time determination for nerve or muscle fibers
JP2023156431A (en) System and method for imaging tissue
Attard et al. Materials mapped with NMR
Mazur et al. Towards the precise microstructural mapping. Testing new anisotropic phantoms with layered and capillary geometries
Safiullin et al. Achieving high spatial resolution and high SNR in low-field MRI of hyperpolarised gases with Slow Low Angle SHot
PL232529B1 (en) Method for calibration of the diffusion imaging sequences in the dMRI-type experiment carried out on the MR tomograph
US20060160242A1 (en) Method, system and software arrangement, for measuring magnetic field correlation
Kłodowski et al. The b matrix calculation using the anisotropic phantoms for DWI and DTI experiments
Fieremans et al. Gel Phantoms for Diffusion MRI Studies
Dowell et al. Quality assurance for diffusion MRI
Pohlmeier et al. MRI of Soil and Soil–Root Processes
Ryhög Using q-space Diffusion MRI for Structural Studies of a Biological Phantom at a 3T Clinical Scanner

Legal Events

Date Code Title Description
STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION