Evidence map›Paper›PMID 24648387›Full record

ArticleMagnetic resonance in medicine2015

Rapid and accurate T2 mapping from multi-spin-echo data using Bloch-simulation-based reconstruction.

Noam Ben-Eliezer, Daniel K Sodickson, Kai Tobias Block

Registry-linked trialAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07759895 (Combination Therapy of Deferiprone and N-Acetylcysteine for Treating Negative Symptoms in Schizophrenia), which is not on this map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing 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.

NCT07759895 phase2not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Combination Therapy of Deferiprone and N-Acetylcysteine for Treating Negative Symptoms in Schizophrenia

TypeinterventionalSponsorAmit LotanRan2026 to 2029Enrolled80ConditionsSchizoaffecitve Disorder, Schizophrenia and Schizoaffective Disorder, Schizophrenia and Predominant Negative SymptomsArmsDeferiprone (DFP), N-Acetyl Cysteine (NAC)
3 · Its place in the literature

Who cites it

99 citing papers in PubMed.

  1. Combined ADC and TMagnetic resonance in medicine · 2026
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  8. Assessing the Impact of Imaging Parameters on MRI Measurement of Kidney TJournal of magnetic resonance imaging : JMRI · 2026
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  10. Importance of RMagnetic resonance in medicine · 2026
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  14. Rapid quantitative MRI at 46 mT: Accelerated TMagnetic resonance in medicine · 2025
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  17. TMagnetic resonance in medicine · 2025
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  18. Comparison of test-retest repeatability of DESPOT and 3D-QALAS for TQuantitative imaging in medicine and surgery · 2025
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  19. Article
  20. Article

39 more citing papers are in PubMed but not listed here.

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

3 authors.

Noam Ben-EliezerThe Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York, University School of Medicine, New York, New York, USA.
Daniel K Sodickson
Kai Tobias Block

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dmitry S Novikov · 2014 to 2026
$19.3M
Parallel MR Imaging: New Techniques and TechnologiesR01EB000447 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SODICKSON, DANIEL K · 2002 to 2012
$5.1M
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB000447NIBIB NIH HHS R01EB000447
6 · The paper itself

Abstract

purposeQuantitative T2 -relaxation-based contrast has the potential to provide valuable clinical information. Practical T2 -mapping, however, is impaired either by prohibitively long acquisition times or by contamination of fast multiecho protocols by stimulated and indirect echoes. This work presents a novel postprocessing approach aiming to overcome the common penalties associated with multiecho protocols, and enabling rapid and accurate mapping of T2 relaxation values.

methodsBloch simulations are used to estimate the actual echo-modulation curve (EMC) in a multi-spin-echo experiment. Simulations are repeated for a range of T2 values and transmit field scales, yielding a database of simulated EMCs, which is then used to identify the T2 value whose EMC most closely matches the experimentally measured data at each voxel.

resultsT2 maps of both phantom and in vivo scans were successfully reconstructed, closely matching maps produced from single spin-echo data. Results were consistent over the physiological range of T2 values and across different experimental settings.

conclusionThe proposed technique allows accurate T2 mapping in clinically feasible scan times, free of user- and scanner-dependent variations, while providing a comprehensive framework that can be extended to model other parameters (e.g., T1 , B1 (+) , B0 , diffusion) and support arbitrary acquisition schemes.

Indexed as

AlgorithmsBrainEcho-Planar ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedInformation Storage and RetrievalReproducibility of ResultsSensitivity and SpecificitySpin LabelsSpin Labelsquantitative MRIT2 mapping

Identifiers

PMID24648387
PMCPMC4169365

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Registered trials

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.