Evidence map›Paper›PMID 42384519›Full record

ArticleIEEE transactions on medical imaging2026

The Ritz Adjoint Method for MRI Pulse Design.

John M Drago, Georgy D Guryev, Nicolas Arango, Elfar Adalsteinsson, Bastien Guerin, Lawrence L Wald

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

John M Drago
Georgy D Guryev
Nicolas Arango
Elfar Adalsteinsson
Bastien Guerin
Lawrence L Wald

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic · 2020 to 2026
$10.9M
Fetal MRI: robust self-driving brain acquisition and body movement quantificationR01EB032708 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2022 to 2025
$2.8M
Integrated, dynamic B0 and flip-angle shimming using multi-coil shim arraysR01EB034274 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bastien Guerin, Jason P Stockmann · 2024 to 2026
$2.1M
System Upgrade for Siemens 7T Human MRI SystemS10OD023637 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2017 to 2017
$2.0M
Multiphoton parallel Transmit for MRIR21EB036303 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Lawrence L Wald · 2025 to 2026
$454k
Resting-state functional connectivity mapping using Magnetic Particle Imaging (MPI)F30MH129062 · NIMH · HARVARD MEDICAL SCHOOL · PI DRAGO, JOHN MICHAEL · 2022 to 2025
$213k
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB032708NIBIB NIH HHS R01 EB034274NIBIB NIH HHS R21 EB036303NIGMS NIH HHS T32 GM144273NIH HHS S10 OD023637NIMH NIH HHS F30 MH129062
6 · The paper itself

Abstract

High-field magnetic resonance imaging (MRI) suffers from pronounced magnetic field inhomogeneities and subject-specific field variations, motivating the in-scanner design of individually tailored excitation pulses to exploit the full capabilities of high-field MRI. Contemporary methods may employ piecewise-constant (PWC) waveform parameterizations to design excitation pulses, which require many optimization variables and hinder rapid, in-scanner customization. We represent the radiofrequency (RF) and gradient waveforms in a global waveform basis, demonstrated using a Chebyshev polynomial basis, to reduce problem dimensionality and accelerate convergence, while ensuring waveform smoothness. The adjoint method efficiently computes derivatives of the excitation objective function with respect to the basis coefficients, which each influence an entire waveform. Graphics processing unit (GPU) acceleration of derivative computation further reduces computation time, while system and safety constraints are enforced throughout the optimization. Using this global waveform basis yields an approximate five- to ten-fold speedup in subject-specific (tailored) pulse optimization for non-selective excitations and, in the best case, comparable gains for slice-selective designs, making real-time, subject-specific pulse optimization feasible even for advanced pulse types.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingSignal Processing, Computer-AssistedAlgorithmsHumansPhantoms, Imaging

Identifiers

PMID42384519
PMCPMC13680001

What OpenQuestion holds

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Read underepoch 390

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.