CPC G06T 7/0014 (2013.01) [A61B 5/055 (2013.01); A61B 5/7257 (2013.01); G01R 33/543 (2013.01); G01R 33/5608 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/30081 (2013.01)] | 9 Claims |
1. A method for measuring soft tissue texture to identify diseased as opposed to normal tissue, the method comprising:
identifying textural markers in a ground truth that distinguish diseased tissue from normal tissue;
selecting a MRμT excitation sequence comprising a Multiple TR series and associated parameters to reveal said markers;
acquiring data in an MR scanner responsive to the selected MRμT excitation sequence to establish a multipoint time series data set by performing a selective internal excitation of a Volume of Interest (VOI) within a targeted tissue region;
imposing a spatial-frequency phase encode for a targeted tissue textural-wavelength, λ (or k-value), of interest along a texture analysis direction within the VOI; and
recording a resulting signal; and
analyzing the acquired data for presence of said markers by
performing a FFT on the multipoint time series data set acquired to generate an NMR spectrum of signal intensity vs. PPM chemical shift with a system center frequency as 0 PPM;
identifying a center frequency of the NMR spectrum from a selected TR measurement of the Multiple TR series of excitations of the targeted VOI by plotting and locating the maximum of the NMR signal vs. chemical shift;
selecting a span in chemical shift and summing the signal over the span to generate a magnitude measurement as a raw signal for each wavelength encode and for the k0 encoded TR;
selecting the span and summing the signal from an ultimate TR to generate a measure of noise level (noise);
calculating the signal for each of the encoded wavelength TR increments as
signal(λ)=(raw signal(λ)-noise)/(raw signal(∞)-noise); and
binning the multiple measurements of the signal to highlight distribution of feature sizes.
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