### Table 1 Interindividual Means and Standard Deviations (N 5 8) of the Biexponential Parameters Obtained From Baseline Data Sets (No Inversion Pulse) From Voxels in the Cortical Gray (CG) and Internal Capsule (IC) White Matter

1999

"... In PAGE 4: ...times smaller than x2 values obtained from monoexponen- tial fits, which were clearly inappropriate over this ex- tended b-factor range. Table1 shows interindividual means and standard de- viations of the biexponential parameters found from fitting the baseline CG and IC decay curves acquired without any inversion pulse. The fraction of the fast diffusion compo- nent A1/(A11A2) was significantly smaller in the IC than in the CG (P , 0.... In PAGE 4: ... There is little variation of the measured diffusion coefficients with TI, indicating robust biexponential fits even as the overall signal-to-noise decreased with the lengthening of TI. The decreased value of the slow diffu- sion coefficient in the IC compared to the CG by nearly a factor of 3, as found from the baseline data and reported in Table1 , is seen to hold regardless of the TI value. Figure 5 shows the inter-individual mean T1 values evaluated directly from signal intensities at 7 different b-factors over the full range.... In PAGE 6: ... 7 shows three simulated ADC decay curves based upon them. The solid line is an ADC decay for the case of no exchange as generated using the mean biexponential parameters found for the CG voxels ( Table1 ). This curve Apparent Diffusion Coefficients in Human Brain... ..."

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### Table 3. Coefficient of joint variations of grey matter and white matter for real volumes. Volume cjvstart (%) cjvend (%) cjvM4 (%) cjvmin (%)

2004

"... In PAGE 12: ... This is most likely due to more rigid correction model (fourth-order polynomial) and less information (only intensities) incorporated into the correction method. Table3 shows the results on real MR volumes of the third set. The ideal volumes without intensity inhomogeneity are not known for real images, which makes objective quantitative evaluation of the achieved correction practically infeasible.... ..."

### TABLE III ASSESSMENT OF VARIABILITY OF TISSUE CLASSIFICATION FROM NEONATE MRI. THE PREDICTIVE VALUE FOR EACH TYPE OF TISSUE AS DETERMINED FROM THE STAPLE ESTIMATES, AND THE MEAN PREDICTIVE VALUE, ARE REPORTED FOR EACH OF EIGHT SEGMENTATIONS. THE MEAN PREDICTIVE VALUE MAY BE USED TO RANK THE QUALITY OF THE SEGMENTATIONS. TISSUE TYPES ARE BACKGROUND (B), EXTRA-CRANIAL TISSUE (ECT), CORTICAL GRAY MATTER (CGM), CEREBROSPINAL FLUID (CSF), MYELINATED WHITE MATTER (MWM), UNMYELINATED WHITE MATTER (UWM), AND SUB-CORTICAL GRAY MATTER (SCG).

2004

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### Table 2 Mean, median, and standard deviation for the gray-matter and white-matter tissue classes in the IBSR data set using the proposed method with the 2-class prior.

2006

"... In PAGE 23: ... Nevertheless, with the average Dice metric, Figure 6(c) shows that both priors perform equally well. For the proposed algorithm using the 2-class prior, Table2 gives the mean, me- dian, and the standard deviation for the Dice metrics over the entire dataset. The proposed method yields a higher mean (by a couple of percent) and lower 1 5 9 13 17 0.... ..."

### Table 2 Mean, median, and standard deviation for the gray matter and white matter tissue classes in the IBSR data set using the proposed method with the 2-class prior.

in Adaptive Markov Modeling for Mutual-Information-Based, Unsupervised MRI Brain-Tissue Classification

"... In PAGE 23: ... Nevertheless, with the average Dice metric, Figure 6(c) shows that both priors perform equally well. For the proposed algorithm using the 2-class prior, Table2 gives the mean, me- dian, and the standard deviation for the Dice metrics over the entire dataset. The proposed method yields a higher mean (by a couple of percent) and lower 1 5 9 13 17 0.... ..."

### Table 1. DICE validation measures for white (WM) and gray (GM) matter segmentations on 10 datasets

2006

"... In PAGE 5: ...8840 and gray matter mean DSC=0.8951 for N = 10 cases) show that the Bayesian segmenter gives good results in white matter and gray matter (see Table1 ). The results of a typical Bayesian segmen- tation compared with the manual-based segmentations for Case 1 are shown in Figure 1(a),1(b) and for Case 2 in Figure 1(c),1(d).... ..."

### Table 1 Age and relative total gray matter volume distribution (C2105 mm3 for volume measurements) Control

2005

"... In PAGE 3: ...6.1 F 4.5, which are compatible. The age distribution and relative total gray matter volume for subjects are given in Table1 . The method for estimating the total gray matter volume is given in Chung et al.... In PAGE 8: ....K. Chung et al. / Neur via the maxima of a F-field (Worsley, 1994). Results and discussion Image acquisition and processing were performed as described in Subjects and image processing, resulting in a cortical thickness map and the total gray matter volume (see Table1 ) for each subject. The thickness measurements were then smoothed with the heat kernel of size 30 mm FWHM as described in Heat kernel smoothing and used to compute the corrected P value maps for t and F statistics as discussed in Statistical analysis on cortical manifolds.... ..."

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### Table 1: Quantitative results for various fusion methods.

2002

"... In PAGE 7: ... Lower values of AQ indicate greater similarity between the images C1 CVD8 and C1 CUCS and therefore more successful fusion in terms of quantitatively measurable similarity. Table1 shows the results for the various methods used. The average pixel value method gives a baseline result.... ..."

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### Table 1. Quantitative Comparison of Retrieval Methods.

"... In PAGE 3: ...The methods comparison was carried out using the generally accepted technique, inside a circle of 20 pixels radius corresponding to the maximal displacement of tracers. Quantitative results of the method comparisons are given in Table1 . Manually tracked WVMV were compared by themselves using the same technique.... ..."

### TABLE I. Quantitative validation of the correction method using a dedicated phantom demonstrating high PVE

1997

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