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2D-FT MR- Imaging and related Nobel awards (Topic)

0.1 Two-dimensional Fourier transform imaging

A two-dimensional Fourier transform (2D-FT) is computed numerically or carried out in two stages, both involving ‘standard’, one-dimensional Fourier transforms. However, the second stage Fourier transform is not the inverse Fourier transform (which would result in the original function that was transformed at the first stage), but a Fourier transform in a second variable– which is ‘shifted’ in value– relative to that involved in the result of the first Fourier transform. Such 2D-FT analysis is a very powerful method for three-dimensional reconstruction of polymer and biopolymer structures by two-dimensional Nuclear Magnetic resonance (2D-FT NMR , [1]) of solutions for molecular weights (Mw) of the dissolved polymers up to about 50,000 Mw. For larger biopolymers or polymers, more complex methods have been developed to obtain the desired resolution needed for the 3D-reconstruction of higher molecular structures, e.g. for 900, 000Mw, methods that can also be utilized in vivo. The 2D-FT method is also widely utilized in optical spectroscopy, such as 2D-FT NIR Hyperspectral Imaging, or in MRI imaging for research and clinical, diagnostic applications in Medicine.

A more precise mathematical definition of the ‘double’ Fourier transform involved is specified next, and a precise example follows the definition.

Definition 0.1. A 2D-FT, or two-dimensional Fourier transform, is a standard Fourier transformation of a function of two variables, f(x1,x2), carried first in the first variable x1, followed by the Fourier transform in the second variable x2 of the resulting function F(s1,x2). (For further specific details and example for 2D-FT Imaging v. URLs provided in the following recent Bibliography).

Example 0.1 A 2D Fourier transformation and phase correction is applied to a set of 2D NMR (FID) signals s(t1,t2) yielding a real 2D-FT NMR ‘spectrum’ (collection of 1D FT-NMR spectra) represented by a matrix S whose elements are

              ∫  ∫
S(ν ,ν ) = Re       cos(ν t)exp (− iν2t2)s(t ,t)dt dt ,
   1  2                  1 1             1 2   1  2

where ν1 and ν2 denote the discrete indirect double-quantum and single-quantum(detection) axes, respectively, in the 2D NMR experiments. Next, the covariance matrix is calculated in the frequency domain according to the following equation:

    ′        T     ∑          ′
C (ν2,ν2) = S  S =    [S (ν1,ν 2)S (ν1,ν2)],
                    ν1

with ν22taking all possible single-quantum frequency values and with the summation carried out over all discrete, double quantum frequencies ν1.

0.2 Example 0.2

Atomic structure reconstruction by 2D-FT of STEM Images(obtained at Cornell University) reveals the electron distributions in a high-temperature cuprate superconductor ‘paracrystal’; both the domains (or ‘location’) and the local symmetry of the “pseudo-gap” are seen in the electron-pair correlation band responsible for the high–temperature superconductivity effect .

0.3 Remarks

So far there have been three Nobel prizes awarded for 2D-FT NMR/MRI during 1992-2003, and an additional, earlier Nobel prize for 2D-FT of X-ray data (‘CAT scans’); recently the advanced possibilities of 2D-FT techniques in Chemistry, Physiology and Medicine received very significant recognition.

References

[1]   Kurt Wütrich: 1986, NMR of Proteins and Nucleic Acids., J. Wiley and Sons: New York, Chichester, Brisbane, Toronto, Singapore. (Nobel Laureate in 2002 for 2D-FT NMR Studies of Structure and Function of Biological Macromolecules); 2D-FT NMR Instrument Image Example: a JPG color image of a 2D-FT NMR Imaging ‘monster’ Instrument

[2]   Richard R. Ernst. 1992. Nuclear Magnetic Resonance Fourier Transform (2D-FT) Spectroscopy. Nobel Lecture, on December 9, 1992.

[3]   Peter Mansfield. 2003. Nobel Laureate in Physiology and Medicine for (2D and 3D) MRI.

[4]   D. Benett. 2007. PhD Thesis. Worcester Polytechnic Institute. (lots of 2D-FT images of mathematical, brain scans.) PDF of 2D-FT Imaging Applications to MRI in Medical Research.

[5]   Paul Lauterbur. 2003. Nobel Laureate in Physiology and Medicine for (2D and 3D) MRI.

[6]   Jean Jeener. 1971. Two-dimensional Fourier Transform NMR, presented at an Ampere International Summer School, Basko Polje, unpublished. A verbatim quote follows from Richard R. Ernst’s Nobel Laureate Lecture delivered on December 2nd, 1992, “A new approach to measure two-dimensional (2D) spectra has been proposed by Jean Jeener at an Ampère Summer School in Basko Polje, Yugoslavia, 1971 ([6]). He suggested a 2D Fourier transform experiment consisting of two π∕2 pulses with a variable time t1 between the pulses and the time variable t2 measuring the time elapsed after the second pulse as shown in Fig. 6 that expands the principles of Fig. 1. Measuring the response s(t1,t2) of the two-pulse sequence and Fourier-transformation with respect to both time variables produces a two-dimensional spectrum S(O1,O2) of the desired form. This two-pulse experiment by Jean Jeener is the forefather of a whole class of 2D experiments that can also easily be expanded to multidimensional spectroscopy.”

[7]   A 2D-FT NMRI article and Spectroscopy.

[8]   Cardiac infarct movies by 2D-FT NMR Imaging


"2D-FT MR- Imaging and related Nobel awards" is owned by bci1.
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See Also: nuclear magnetic resonance principles, determination of Fourier coefficients, generalized Fourier transform, two-dimensional Fourier transforms, Felix Bloch

Other names:  2D quantum tomography
Also defines:  quantum tomography, nuclear spin tomography, MRI, ( X-ray) CAT scanning
Keywords:  two-dimensional Fourier transform imaging, 2D-FT NMR spectroscopy, magnetic resonance (MR) -Imaging

Cross-references: superconductivity, domain, covariance, detection, matrix, FT-NMR, NMR spectrum, NMR, Hyperspectral Imaging, NIR, molecular structures, resonance, two-dimensional, function, Fourier transforms, two-dimensional Fourier transform
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This is version 35 of 2D-FT MR- Imaging and related Nobel awards, born on 2008-12-24, modified 2009-04-19.
Object id is 349, canonical name is 2DFTImaging.
Accessed 6321 times total.

Classification:
Physics Classification83.85.Fg (NMR/magnetic resonance imaging )
 82.56.Pp (NMR of biomolecules)
 82.56.Ub (Structure determination with NMR)
 02.30.Nw (Fourier analysis)
 03.65.Wj (State reconstruction, quantum tomography)
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