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1.
FIGURE 10

FIGURE 10. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Quantifying residual aliasing among simultaneously acquired slices. Signal leakage (L-factor) maps showing residual aliasing among simultaneously acquired slices at 3T for MB3, MB4, MB8 and MB12 with with PESHIFT.The oscillation imposed on slice (appears in red/yellow color) “leaks” into other simultaneously acquired slices due to resdiual aliasing. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
2.
FIGURE 19

FIGURE 19. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Detection of an RSN at 3T vs. 7T on the same subject. Three orthogonal slices extracted from 7 and 3 Tesla Multiband rfMRI on the same subject depicting the same RSN. The data were processed without any spatial smoothing. The 3T parameters were: 2mm isotropic, TR=1.37s, 1000 time-points, ICA auto-dimensionality of d=200; 7 T parameters:1.25mm, TR=2s, 450 time-points, ICA auto-dimensionality of d=81.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
3.
FIGURE 9

FIGURE 9. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Noise amplifications due to unaliasing of slice accelerated Multiband EPI data. Noise amplification is calculated as a “g-factor” and presented as a histogram. MB=2 (green), MB =4 (black), MB=8 (blue), and MB=12 (red). Data obtained with a 32 channel coil on the 3T WU-Minn HCP scanner. Adapted from (, ).

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
4.
FIGURE 18

FIGURE 18. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

7 Tesla Multiband EPI data acquired with concurrent slice and in-plane phase encode acceleration. Three orthogonal slices are shown from a 1 mm isotropic resolution whole brain 7 Tesla Multiband EPI data obtained with a 32 channel receive array, MB=4, in-plane phase encode acceleration of 3, PESHIFT of FOV/3.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
5.
FIGURE 6

FIGURE 6. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Controlled aliasing to displace simultaneously acquired images relative to each other to improve subsequent unaliasing. Multiband EPI (MB2) images acquired on the 3T WU-Minn consortium HCP scanner, without (top row) and with (bottom row) controlled aliasing (blipped CAIPI) using a PESHIFT of FOV/2. Slices from three different regions of the brain are shown. Images supplied by Junqian Xu from data acquired in CMRR.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
6.
FIGURE 14

FIGURE 14. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Overcoming peak power limitation in Multiband spin-echo acquisition using Time-Shifted Pulses. Comparison of human brain images acquired with multi-band slice accelerations of 3–6 (MB3-MB6) using conventional multi-banded RF pulses (left column) and time-shifted RF pulses (right column) with equivalent effective bandwidth. The display window and level are the same for all images. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
7.
FIGURE 15

FIGURE 15. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

7 Tesla transmit B1 maps in the human head. The maps were generated by a 4 port driven TEM coil similar to that described in (), except in this case the internal diameter of the coil was slightly larger to accommodate a 16 channel receive-only array within it. The transmitter generates a homogenous B1 when it is not loaded with the human head.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
8.
FIGURE 12

FIGURE 12. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Temporal stability in dMRI data acquired at 3T with slice and in-plane acceleration. A single slice as a function of time is shown from a monopolar dMRI acquisition with a single b value and direction (b=1500 s/mm2); MB=3 and in-plane phase encode acceleration of 3, 2 mm isotropic resolution, repeated consecutively in time. Acquired on the 3T WU-Minn HCP scanner. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
9.
FIGURE 2

FIGURE 2. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Slices (7 Tesla, 0.8 mm isotropic resolution) from a single-shot EPI images (MB=1). 30 slices out of 128 are shown. Data presented from a single scan (without averaging) covering the whole brain using consecutively acquired single slices. Data obtained using Siemens SC72 “whole body” gradients. Acquisition parameters were: matrix size = 262×262, 128 slices, FOV = 210×210 mm2, TE/TR = 22ms/9350ms, in-plane phase encode acceleration (iPAT)=4, 5/8 partial Fourier, 96 ACS lines. Image supplied by An Vu from data obtained in CMRR.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
10.
FIGURE 17

FIGURE 17. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Default Mode Network (DMN) extracted from 1 mm isotropic resolution 7T resting-state fMRI time series. DMN, shown on three orthogonal slices, was extracted by ICA from 7T resting state data acquired using standard EPI without slice acceleration but with 4-fold acceleration along the in-plane phase encode direction. The DMN data in color is superimposed on 0.6 mm isotropic T1 weighted anatomical images obtained with MPRAGE at 7T. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
11.
FIGURE 4

FIGURE 4. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Combining Multiband and SIR accelerations: Multiplex EPI images obtained at 3 Tesla. 4 adjacent slices are shown out of the total 60 slices obtained with 2 mm isotropic resolution covering the entire brain. Each row of images was obtained with different MB and SIR accelerations, producing simultaneous acquisition of 1, 4, 6 and 12 slices in a single EPI echo train. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
12.
FIGURE 22

FIGURE 22. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Compressed sensing in q-space; effect on fiber orientation estimation. Uncertainty associated with the estimation of each probabilistic fiber orientation (3 fibers were used). The top row corresponds to the full dMRI datasets (R=1). The bottom row corresponds to the dataset reconstructed from half of the original dataset (R=2). Light blue areas correspond to an error close to 0° while the red areas correspond to an error close to 90°. Uncertainty is very similar even when using only half of the original dMRI dataset (bottom row), when compared to the full dataset (top row).

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
13.
FIGURE 21

FIGURE 21. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Compressed sensing in q-space; tractography with half the acquired q-space data. Example of whole brain deterministic tractography using the Tensorline algorithm () as implemented in TrackVis (http://trackvis.org/) from a complete (Left) 7T dMRI dataset (voxel size 1.5 mm isotropic, 128 diffusion gradients, b-value =1500s/mm2 and 15 b0 values), and the same dataset reconstructed from half of the volumes (64 diffusion gradients) and a compressed sensing acceleration factor R = 2 (Right). Very few differences can be observed.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
14.
FIGURE 8

FIGURE 8. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Comparing 6-fold slice accelerated Multiband images at 3T with unaccelerated standard acquisition. Selected slices from a 1.6 mm isotropic, 80 slice whole brain data set obtained with Multiband EPI with PESHIFT=FOV/3, MB factor 6 and standard EPI (MB=1). TE=30 ms; 6/8 Partial Fourier along phase encode direction. TR =6.7 s for both, set by the minimum TR attainable with MB=1. Minimum TR that would be possible with MB=6 acquisition with these parameters would be 1.1 s. Data was obtained with a 32 channel coil on the 3T WU-Minn HCP scanner. Adapted from (, ).

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
15.
FIGURE 3

FIGURE 3. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Functional maps at 7 Tesla obtained with slice and phase-encode acceleration. Two representative coronal slices showing functional activation maps obtained with 16 fold two dimensional acceleration (4 fold slice (i.e. MB=4) and 4 fold in-plane phase encode accelerations) for a complex visuo-motor dissociation task; 90 slices were acquired in 1.5 sec with 1×1 mm2 in plane resolution 2 mm slice thickness. A total of 252 images were obtained with the subjects performing the task during three blocks of on-off periods. Maximal aliasing in these data was 16 fold. Adapted from (; ).

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
16.
FIGURE 5

FIGURE 5. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Improvements in detection of RSNs (resting state networks) with shorter TRs. A single RSN is displayed at the same statistical threshold obtained at 3T from three 10 min acquisition periods obtained with different TRs using Multiplexed EPI. Data were gathered in a single session from one subject, using 3 mm isotropic resolution. TR=2.5 s (no acceleration), TR= 0.8 s (4 fold slice acceleration), and TR=0.4 s (9 fold slice acceleration). The color overlays are z-statistic images, thresholded at Z = 4 in all cases. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
17.
FIGURE 7

FIGURE 7. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Slice accelerated Multiband images at 3T at different acceleration factors. Three slices from a 2 mm isotropic resolution, 64 slice whole brain data set obtained with slice acceleration up to MB factor of 12. For comparison, images were acquired with the same TR (4.8 s) based on the minimum TR attainable with standard EPI (i.e. MB=1). The example axial slices shown were not from the same MB slice group. Achievable TR at a given MB factor is listed below the MB factors given to show the acceleration potential. Adapted from (, ).

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
18.
FIGURE 11

FIGURE 11. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Effect of calibration (i.e. reference) scan on image reconstruction of slice accelerated multiband images at 7T. A coronal cross sections of axially acquired 7T whole brain data set acquired with slice and in-plane-phase encode accelerated Multiband EPI using different calibration scans: Top row: GRE (i.e. FLASH) calibration scan, Lower row: EPI calibration scans. Data were acquired in the same session from the same subject. Each volumetric image set had its own calibration scan. Multiband EPI was obtained with MB=3, in plane acceleration =3, TE/TR=20ms/2740ms, 1.1 isotropic resolution, 8/6 partial Fourier along phase encode direction, 123 slices. The GRE (FLASH) calibration scans had “matched” TE/TR 20ms/2740ms, 1.1×2.4×1.1mm resolution, and FOV of 209×209×135mm as in EPI.For the EPI the single band ACS data was acquired with 48 ACS lines.

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
19.
FIGURE 13

FIGURE 13. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Reduction of peak power using Time-Shifted Multiband pulses: (A) Pulse shapes, from left to right: conventional four-banded (MB4) pulse of duration t, composed of four single-banded (SB) sinc RF pulse (R = 5.2) with band #1 (no frequency offset) and band #4 ~3 kHz frequency offset; the same conventional MB4 pulse with stretched duration of 1.75·t, time-shifted MB4 pulse generated for duration 1.75·t (25% temporal shift between bands). For all plots, solid lines represent the magnitude, dashed lines the real component, and dotted lines the imaginary component. (B) Plot of required peak B1 vs. total pulse duration for four-banded pulses with 3 kHz inter-band frequency offsets: stretched conventional pulse (dark blue), time-shifted pulse (green), time-shifted with static (i.e. fixed) inter-band phase offsets (light blue), and time-shifted with optimized phase offsets for each shift (red). B1 and duration are shown relative to the base single-banded sinc pulse. Note that time shifted pulses ultimately achieve the same peak B1 whether or not phase optimization is employed. Adapted from ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.
20.
FIGURE 1

FIGURE 1. From: Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

SNR achievable at 3 Tesla in a monopolar diffusion weighted spin-echo sequence at different maximal gradient strengths (Gmax), normalized to Gmax=100 mT/m. The monopolar dMRI sequence is schematically depicted in . Ramp times shown in the pulse sequence diagram were ignored for the calculations (i.e. they were assumed to be infinitely fast). The minimum δ (see diagram) was calculated for a given b, G and d (where d is the separation between the two gradient pulses and Δ = δ+d, ignoring the ramp times) by solving 0 = b − (2π · 42.58 ×10 ·G· δ ) · 10 · (2δ /3+ d) where b is s/mm2, δ and d in ms and G in mT/m, with d=6 ms. The minimum TE was calculated as 2δ+TE0, where TE0 is the minimum TE achievable with δ = 0; TE0 was taken to be 15 ms based on our existing sequence with partial Fourier acquisition). SNR is calculated using the biexponential diffusion approximation using the equation: SNR ∝ (0.75ebDF + 0.25ebDS)e− (δ + TE0)/T2 where DF_ and DS are fast and slow diffusion constants, respectively, (assumed to be 0.8×10−3 and 1×10−4 mm2/s) with corresponding fractional pool sizes of 0.75 and 0.25 (taken from ()),. White matter 3T T2 was assumed to be 70 ms ().

Kamil Uğurbil, et al. Neuroimage. ;80:80-104.

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