Data processing method in nuclear magnetic resonance measurement

Claim 2

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data lined up on a time axis represent data of a space frequency dimension, and obtained discrete measurement data arrays lined up in a first region limited on a space frequency axis in a certain direction; determining the position of a point providing the greatest value of a function represented by said measurement data arrays, and estimating the origin of said space frequency axis; applying a high-pass filter using said origin as a reference to said measurement data arrays; effecting data extrapolation to said data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating data arrays of a second region beyond said first region; and effecting inverse Fourier transformation for said data arrays of said second region and obtaining nuclear spin image data.

Claim 3

A data processing method in nuclear magnetic resonance measurement according to claim 1, wherein the estimation of said data arrays in said second region includes the step of applying a reverse filter of said high-pass filter to said data arrays obtained by extrapolation.

Claim 4

A data processing method in nuclear magnetic resonance measurement according to claim 1, wherein the estimation of said origin of said space frequency axis is made by comparing each data of said measurement data arrays and using the position of the data having the greatest absolute value as the position of said origin.

Claim 5

A data processing method in nuclear magnetic resonance measurement according to claim 1, wherein the estimation of said origin of said space frequency axis is made by detecting the peak position of the function represented by said measurement data arrays from a plurality of data inclusive of, and near, at least a data having the greatest absolute value, and using this peak position as said origin.

Claim 6

A data processing method in nuclear magnetic resonance measurement according to claim 1, wherein said high-pass filter is a high-pass filter on said space frequency axis corresponding to a differentiation or a difference on a space domain.

Claim 7

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis directions; determining the position of a point providing the greatest value of a function represented by each of said one-dimensional data arrays for each of a plurality of said first-dimensional data arrays in said first space frequency direction, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a second rectangular region expanded in said first space frequency axis direction relative to said first rectangular region; and effecting two-dimensional inverse Fourier transformation for said data arrays of said second rectangular region, and obtaining nuclear spin image data.

Claim 8

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis directions; determining the position of a point providing the greatest value of a function represented by each of said one-dimensional data arrays for each of a plurality of said first-dimensional data arrays in said first space frequency direction, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a second rectangular region expanded in said first space frequency axis direction relative to said first rectangular region; and effecting two-dimensional inverse Fourier transformation for said data arrays of said second rectangular region, and obtaining nuclear spin image data.

Claim 9

A data processing method in nuclear magnetic resonance measurement according to claim 6, wherein the estimation of said origin is effected individually for each of a plurality of said one-dimensional data arrays.

Claim 10

A data processing method in nuclear magnetic resonance measurement according to claim 6, wherein the estimation of said origin is made by determining a mean position of positions providing the greatest values of the functions of at least two of said one-dimensional data arrays among a plurality of said one-dimensional data arrays, and using this mean position as a common origin of said at least two one-dimensional data arrays.

Claim 11

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis directions; determining the position of a point providing the greatest value of a function represented by each of said one-dimensional data arrays for each of a plurality of said first-dimensional data arrays in said first space frequency direction, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a second rectangular region expanded in said first space frequency axis direction relative to said first rectangular region; effecting data extrapolation to each of a plurality of said one-dimensional data arrays in said second space frequency axis constituting said two-dimensional data arrays in said second rectangular region, by the one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a third rectangular region expanded in said second space frequency axis direction relative to said second rectangular region; and effecting two-dimensional inverse Fourier transformation to said data arrays of said third rectangular region, and obtaining nuclear spin image data.

Claim 12

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis directions; determining the position of a point providing the greatest value of a function represented by each of said one-dimensional data arrays for each of a plurality of said first-dimensional data arrays in said first space frequency direction, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a second rectangular region expanded in said first space frequency axis direction relative to said first rectangular region; effecting data extrapolation to each of a plurality of said one-dimensional data arrays in said second space frequency axis constituting said two-dimensional data arrays in said second rectangular region, by the one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a third rectangular region expanded in said second space frequency axis direction relative to said second rectangular region; and effecting two-dimensional inverse Fourier transformation to said data arrays of said third rectangular region, and obtaining nuclear spin image data.

Claim 13

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis direction; effecting inverse Fourier transformation for said two-dimensional measurement data arrays in said second space frequency axis direction; determining the position of a point providing the greatest value of a function represented by each of a plurality of said one-dimensional data arrays in said first space frequency direction constituting said two-dimensional data arrays obtained by said inverse Fourier transformation, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a second rectangular region expanded in said first space frequency axis direction relative to said first rectangular region; and effecting inverse Fourier transformation to said two-dimensional data arrays in said second rectangular regions in said first frequency axis direction, and obtaining nuclear spin image data.

Claim 14

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis direction; effecting inverse Fourier transformation for said two-dimensional measurement data arrays in said second space frequency axis direction; determining the position of a point providing the greatest value of a function represented by each of a plurality of said one-dimensional data arrays in said first space frequency direction constituting said two-dimensional data arrays obtained by said inverse Fourier transformation, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis, and estimating two-dimensional data arrays in a second rectangular region expanded in said first space frequency axis direction relative to said first rectangular region; and effecting inverse Fourier transformation to said two-dimensional data arrays in said second rectangular regions in said first frequency axis direction, and obtaining nuclear spin image data.

Claim 15

A data processing method in nuclear magnetic resonance measurement according to claim 10, wherein the estimation of said origin is effected individually for each of a plurality of said one-dimensional data arrays.

Claim 16

A data processing method in nuclear magnetic resonance measurement according to claim 10, wherein the estimation of said origin is made by determining a mean position of positions providing the greatest values of the functions of at least two of said one-dimensional data arrays among a plurality of said one-dimensional data arrays, and using this mean position as a common origin of said at least two one-dimensional data arrays.

Claim 17

A data processing emthod in nuclear magnetic resonance measurement according to claim 10, wherein the estimation of said two-dimensional data in said second rectangular region is made by applying an inverse filter of said high-pass filter to each of said one-dimensional data arrays obtained by data extrapolation.

Claim 18

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis directions; effecting inverse Fourier transformation for each of said two-dimensional measurement data arrays in said second space frequency axis direction; determining the position of a point providing, the greatest value of a function represented by each of a plurality of said one-dimensional data arrays in said first space frequency direction constituting said two-dimensional data arrays obtained by said inverse Fourier transformation, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis; effecting inverse Fourier transformation for each of said two-dimensional data arrays in said second rectangular region in the direction of said first space frequency axis; effecting data prediction for each of a plurality of said one-dimensional data arrays in said second space frequency axis direction constituting said second two-dimensional data arrays obained by inverse Fourier transformation in said first space frequency axis, by the one-dimensional linear prediction analysis, and obtaining two-dimensional data arrays in a third rectangular region expanded in said second frequency axis direction relative to said second rectangular; and effecting inverse Fourier transformation for said data arrays in said third rectangular region in said second space frequency axis direction, and obtaining nuclear spin image data.

Claim 19

A data processing method in nuclear magnetic resonance measurement, comprising the steps of: measuring nuclear magnetic resonance signals by a nuclear magnetic resonance measuring method in which measurement data arrays lined up on a time axis represent data of a space frequency domain, and obtaining discrete two-dimensional measurement data arrays lined up in matrix in a first rectangular region limited in first and second space frequency axis directions; effecting inverse Fourier transformation for each of said two-dimensional measurement data arrays in said second space frequency axis direction; determining the position of a point providing, the greatest value of a function represented by each of a plurality of said one-dimensional data arrays in said first space frequency direction constituting said two-dimensional data arrays obtained by said inverse Fourier transformation, and estimating the origin of said first space frequency axis; applying a high-pass filter using said origin as a reference to each of a plurality of said one-dimensional measurement data arrays; effecting data extrapolation to each of a plurality of said one-dimensional data arrays, to which said high-pass filter is applied, by a one-dimensional linear prediction analysis; effecting inverse Fourier transformation for each of said two-dimensional data arrays in said second rectangular region in the direction of said first space frequency axis; effecting data prediction for each of a plurality of said one-dimensional data arrays in said second space frequency axis direction constituting said second two-dimensional data arrays obained by inverse Fourier transformation in said first space frequency axis, by the one-dimensional linear prediction analysis, and obtaining two-dimensional data arrays in a third rectangular region expanded in said second frequency axis direction relative to said second rectangular; and effecting inverse Fourier transformation for said data arrays in said third rectangular region in said second space frequency axis direction, and obtaining nuclear spin image data.