Evidence map›Paper›PMID 26390450›Full record

ArticleIEEE transactions on medical imaging2016

Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI.

Sun Hao, Jeffrey A Fessler, Douglas C Noll, Jon-Fredrik Nielsen

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. The Ritz Adjoint Method for MRI Pulse Design.IEEE transactions on medical imaging · 2026
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  14. Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sun Hao
Jeffrey A Fessler
Douglas C Noll
Jon-Fredrik Nielsen

Funding

MRI Parallel Excitation for Neuroimaging ApplicationsR01NS058576 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2008 to 2012
$3.0M
MRI Scanner for Functional Brain ImagingS10OD012240 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2012 to 2012
$2.0M
Improved Functional MRI Using Balanced SSFP and Parallel TransmissionR21EB012674 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NIELSEN, JON-FREDRIK · 2011 to 2012
$404k
Toward layer-specific BOLD fMRI in human cortex at 3T using 3D zoomed-EPI and smallip fast-recovery imagingR21EB019653 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NIELSEN, JON-FREDRIK · 2015 to 2016
$401k
NIBIB NIH HHS R21 EB012674NIBIB NIH HHS R21 EB019653NIBIB NIH HHS R21EB019653NIH HHS S10 OD012240NINDS NIH HHS R01 NS058576NINDS NIH HHS R01NS58576
6 · The paper itself

Abstract

We propose a new method for the joint design of k-space trajectory and RF pulse in 3D small-tip tailored excitation. Designing time-varying RF and gradient waveforms for a desired 3D target excitation pattern in MRI poses a non-linear, non-convex, constrained optimization problem with relatively large problem size that is difficult to solve directly. Existing joint pulse design approaches are therefore typically restricted to predefined trajectory types such as EPI or stack-of-spirals that intrinsically satisfy the gradient maximum and slew rate constraints and reduce the problem size (dimensionality) dramatically, but lead to suboptimal excitation accuracy for a given pulse duration. Here we use a 2nd-order B-spline basis that can be fitted to an arbitrary k-space trajectory, and allows the gradient constraints to be implemented efficiently. We show that this allows the joint optimization problem to be solved with quite general k-space trajectories. Starting from an arbitrary initial trajectory, we first approximate the trajectory using B-spline basis, and then optimize the corresponding coefficients. We evaluate our method in simulation using four different k-space initializations: stack-of-spirals, SPINS, KT-points, and a new method based on KT-points. In all cases, our approach leads to substantial improvement in excitation accuracy for a given pulse duration. We also validated our method for inner-volume excitation using phantom experiments. The computation is fast enough for online applications.

Indexed as

AlgorithmsBrainComputer SimulationHumansImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, Imaging

Identifiers

PMID26390450
PMCPMC4792784

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.