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Table 1. Comparison of our volume measurements with the phantom ground truth. whole brain: total brain tissue(white+gray matter); cortical gray matter1: on the frontal 49 Coronal slices; cortical gray matter2: on the top 56 Axial slices;

in Segmentation and Measurement of the Cortex from 3D MR Images
by Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan 1998
"... In PAGE 8: ... Comparison of our volume measurements with the phantom ground truth. whole brain: total brain tissue(white+gray matter); cortical gray matter1: on the frontal 49 Coronal slices; cortical gray matter2: on the top 56 Axial slices; Table1 shows our measurement results over 4 types: total brain tissue (in- cluding white and gray matter), cortical gray matter in selected slices and the white matter. Since the algorithm is designed speci cally for the nearly constant thickness of the cerebral cortex, it recovers only part of the gray matter in the brain stem and the cerebellum where the constant thickness constraint is not satis ed.... ..."
Cited by 10

Table 1. Comparison of our volume measurements with the phantom ground truth. whole brain: total brain tissue(white+gray matter); cortical gray matter1: on the frontal 49 Coronal slices; cortical gray matter2: on the top 56 Axial slices;

in Segmentation and measurement of the cortex from 3d MR images
by Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan 1998
"... In PAGE 8: ... Comparison of our volume measurements with the phantom ground truth. whole brain: total brain tissue(white+gray matter); cortical gray matter1: on the frontal 49 Coronal slices; cortical gray matter2: on the top 56 Axial slices; Table1 shows our measurement results over 4 types: total brain tissue (in- cluding white and gray matter), cortical gray matter in selected slices and the white matter. Since the algorithm is designed speciflcally for the nearly constant thickness of the cerebral cortex, it recovers only part of the gray matter in the brain stem and the cerebellum where the constant thickness constraint is not satisfled.... ..."
Cited by 10

Table 1: Comparison of the whole brain volume and cortical gray matter from 3D algorithm vs. from ex- pert slice by slice manual tracing on 14 3D MR brain images. TP: true positive; FP: false positive.

in Volumetric Layer Segmentation Using Coupled Surfaces Propagation
by Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan 1998
Cited by 12

Table 1: Comparison of the whole brain volume and cortical gray matter from 3D algorithm vs. from ex- pert slice by slice manual tracing on 14 3D MR brain images. TP: true positive; FP: false positive.

in Volumetric Layer Segmentation Using Coupled Surfaces Propagation
by Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan

Table 2. Performance of the three models over whole brain and in several ROIs when learned using all 40 examples The second set of experiments (see Table 2) describes the performance of the three models for each of the 24 individual ROIs of the brain, and also when trained over the entire brain. While we have seen that ShHPM was biased in CALC, we see here that there are several ROIs where it

in Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models
by Radu Stefan, Niculescu Phd, Tom M. Mitchell Phd, R. Bharat, Rao Phd

Table 1 Comparisons of adjusted* MRI volumes (as % of whole brain volume) for different MS courses RR= relapsing-remitting, SP= secondary progressive, PP= primary progressive, AWM-f=abnormal WM fraction, gWM-f = global WM fraction, GM-f= GM fraction

in QUANTIFICATION OF BRAIN TISSUE VOLUMES
by Dottorato Di, Ricerca In, Neuroscienze E Patologia Dell’invecchiamento Cerebrale, Chiar. Mo Prof, Lucio Annunziato, Ing Anna Prinster, Gm Gray Matter, Rr Relapsing Remitting
"... In PAGE 51: ... Increasing loss of GM and WM (which includes also the WM lesion volume) with corresponding increase in CSF is apparent with increasing faWM. Table1 shows the comparisons of segmented MRI volumes in patients with MS with different disease courses. Between-group comparisons showed significant y = -1,08x + 0,53 R = 0,577 y = -0,62x + 0,35 R = 0,338 y = 1,71x + 0,12 R = 0,600 0% 10% 20% 30% 40% 50% 60% 70% 0% 2% 4% 6% 8% 10% 12% GMf_age_c CSFf_age_c... ..."

Table 2 Brain Region Brodmann

in unknown title
by unknown authors
"... In PAGE 14: ...arger at higher maintenance loads (i.e., showing a statistical interaction). Imaging Data Three different analyses of the whole-brain imaging data were conducted, one testing for maintenance effects, one testing for manipulation effects, and the other testing for interactions between maintenance and manipulation. The results of these whole-brain analyses are summarized in Table2 . In the sections that follow we focus exclusively on... ..."

Table 1: N6/N3 LC-PUFA ratios [(20:4n6 + 22:4n6)/(20:5n3+22:5n3+22:6n3)] in whole brain, hippocampus, and hepatic phospholipid pools. Typically, the above ratios were highest following feeding of the AA-enriched diet, lowest following feeding of the FISH diet, and intermediary following feeding of the combination diet. Abbreviations: SPN, sphingomyelin; PC, phosphatidylcholine; PS/PI, mixture of phosphatidylserine and phosphatidylinositol; PE, phosphatidylethanolamine; CL, cardiolipin. 20:4, 20:4n6; 22:4, 22:4n6; 20:5, 20:5n3; 22:5, 22:5n3; 22:6, 22:6n3.

in BioMed Central
by Lipids In Health, Alvin Berger, David M Mutch, J Bruce German, Matthew A Roberts, Matthew A Roberts
"... In PAGE 3: ....05). By these criteria, differences in gene expression and metabolic profiles described herein were judged to be linked to the FAs present in FUNG and FISH oils on healthy, normal weight animals. The incorporation of 20:4n6 and 22:4n6 following feed- ing of the AA-rich FUNG diet, and the incorporation of 20:5n3, 22:5n3, and 22:6n3 following feeding of the EPA/ DHA-rich FISH diet, into whole brain, hippocampal, and hepatic phospholipid (PL) pools ( Table1 ) was further ev- idence the diets were consumed, resulting in significant changes to PL acyl composition. Fish oil feeding is well es- tablished to increase n3 LC-PUFA in hepatic PL as well as whole brain PL [18]; whereas deficiency of n3 LC-PUFA can decrease 22:6n-3 in hippocampal PL [25].... In PAGE 13: ... There was some evidence to indicate g689 desaturase activity may have been impaired, as explained in the text. Abbreviations: FA, fatty acid; PL, phospholipid; see Table1 for additional abbreviations. g689 desaturase is also known as stearoyl-Coenzyme A desaturase (Scd1).... ..."

Table 1 Mean and maximal size of the nonlinear deformation vectors within the cerebellum

in A spatially unbiased atlas template of the human cerebellum. NeuroImage 33:127–138
by Jörn Diedrichsen 2006
"... In PAGE 7: ... Thus, for each individual participant, normalization to the cerebellar template substantially altered results compared to the whole-brain normalization. The mean and maximum length of the average deformation vector ( Table1 B) indicates how much the cerebellar normalization differed systematically from the whole-brain normalization. Because the new templates were designed to be spatially unbiased, the average deformation between whole-brain and cerebellar normalization should be zero (Eq.... In PAGE 8: ... To test whether these templates were also representative for a new set of participants, we used the set of 16 cross-validation participants. The average deformation vector for these participants had a length of about 1 mm, with the maximal length being approximately 3 mm ( Table1 B). For the SUIT template none of these biases reached significance when correcting for multiple comparisons.... ..."
Cited by 1

Table 2 Frontal regions showing ages differences in delay-related activation in Study 1

in unknown title
by unknown authors
"... In PAGE 5: ... Delay-related activation. Next, we examined regions showing significant age differences in delay-related activation with a focus on frontal activation (see Table2 ). Whole-brain activations are reported in the Supplementary Material.... ..."
Results 11 - 20 of 37