Claims Analysis
Total Claims: 9
Claim 1
Independent Claim
172 words
A magnetic resonance imaging apparatus for obtaining sectional images based on nuclear magnetic resonance signals (NMR signals) released from an examinee, said apparatus comprising: a surface coil for receiving said NMR Signals released from the examinee; image generating means for obtaining a sectional image from said NMR signals received by said surface coil; sensitivity distribution identifying means for obtaining sensitivity distribution data of said surface coil by extracting low frequency components from spatial frequency of the sectional image obtained; correction factor calculating means for deriving correction factor data from said sensitivity distribution data, said correction factor data taking a value smaller than an inverse of a minimum value of said sensitivity distribution data when said sensitivity distribution data approaches said minimum value, and a value substantially corresponding to an inverse of a maximum value of said sensitivity distribution data when said sensitivity distribution data approaches said maximum value; and output image calculating means for calculating a sectional image with improved luminance by applying said correction factor data to said sectional image obtained.
Claim 2
Dependent Claim
172 words
A magnetic resonance imaging apparatus for obtaining sectional images based on nuclear magnetic resonance signals (NMR signals) released from an examinee, said apparatus comprising: a surface coil for receiving said NMR Signals released from the examinee; image generating means for obtaining a sectional image from said NMR signals received by said surface coil; sensitivity distribution identifying means for obtaining sensitivity distribution data of said surface coil by extracting low frequency components from spatial frequency of the sectional image obtained; correction factor calculating means for deriving correction factor data from said sensitivity distribution data, said correction factor data taking a value smaller than an inverse of a minimum value of said sensitivity distribution data when said sensitivity distribution data approaches said minimum value, and a value substantially corresponding to an inverse of a maximum value of said sensitivity distribution data when said sensitivity distribution data approaches said maximum value; and output image calculating means for calculating a sectional image with improved luminance by applying said correction factor data to said sectional image obtained.
Claim 3
Dependent Claim
49 words
An apparatus as defined in claim 1, wherein said sensitivity distribution identifying means is operable to obtain said sensitivity distribution data of said surface coil by effecting a smoothing process on said sectional image obtained, and extracting low frequency components from the spatial frequency of said sectional image obtained.
Claim 4
Dependent Claim
65 words
An apparatus as defined in claim 1, wherein said sensitivity distribution identifying means is operable to obtain said sensitivity distribution data of said surface coil by effecting a fast Fourier transform (FFT) on said sectional image obtained, subjecting said sectional image to a low-pass filter, and thereafter effecting an inverse FFT to extract low frequency components from the spatial frequency of said sectional image obtained.
Claim 5
Dependent Claim
77 words
An apparatus as defined in claim 2, wherein said sensitivity distribution identifying means is operable to effect a maximum filtering process on said sectional image obtained, in which all pixels in said sectional image obtained are successively treated as subject pixels, and each of said subject pixels is replaced with maximum luminance of pixels in a local region surrounding said each of said pixels, and to effect said smoothing process on results of said maximum filtering process.
Claim 6
Dependent Claim
91 words
An apparatus as defined in claim 3, wherein said sensitivity distribution identifying means is operable to effect a maximum filtering process on said sectional image obtained, in which all pixels in said sectional image obtained are successively treated as subject pixels, and each of said subject pixels is replaced with maximum luminance of pixels in a local region surrounding said each of said pixels, to effect said FFT on results of said maximum filtering process, to subject said sectional image to said low-pass filter, and thereafter to effect said inverse FFT.
Claim 7
Dependent Claim
68 words
An apparatus as defined in claim 1, wherein said correction factor calculating means is operable to derive correction factor data β(x, y) from the following equations, based on sensitivity distribution data α(x, y) applied thereto (x, y being coordinates on an xy plane of each pixel in said sectional image obtained, and α(x, y) being normalized in a range of 0 to 1): β(x, y)=f(α(x, y)) f(α)=α.sup.2 -3α+3.
Claim 8
Dependent Claim
70 words
An apparatus as defined in claim 1, wherein said output image calculating means is operable to determine an output image by calculating a product (i(x, y)*β(x, y)) of luminance i(x, y) (x, y being coordinates on an xy plane of each pixel in said sectional image obtained) and said correction factor data β(x, y) (x, y being coordinates on an xy plane of each pixel in said sectional image obtained).
Claim 9
Dependent Claim
23 words
An apparatus as recited in claim 1, further comprising output means for outputting said sectional image calculated by said output image calculating means.