Evidence map›Paper›PMID 28829299›Full record

ArticleIEEE transactions on bio-medical engineering2017

Electrical Properties Tomography Based on $B_{{1}}$ Maps in MRI: Principles, Applications, and Challenges.

Jiaen Liu, Yicun Wang, Ulrich Katscher, Bin He

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Electrical properties basedMagnetic resonance in medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Magnetic Resonance Electrical Properties Tomography (MREPT).Advances in experimental medicine and biology · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Electrical Properties Tomography: A Methodological Review.Diagnostics (Basel, Switzerland) · 2021
    Review
  19. Article
  20. 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.

Jiaen Liu
Yicun Wang
Ulrich Katscher
Bin He

Funding

Cannabinoid-based therapy and approaches to quantify pain in sickle cell diseaseU01HL117664 · NHLBI · UNIVERSITY OF MINNESOTA · PI GUPTA, KALPNA · 2013 to 2018
$9.6M
Electrophysiological Source Imaging of Partial EpilepsyR01NS096761 · NINDS · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2025
$3.6M
Spatio-temporal Dynamic Imaging of Seizure SourcesR01EB021027 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$1.3M
CRCNS: Spatiotemporal imaging study of the mechanisms of binocular rivalryR01EY023101 · NEI · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2012 to 2014
$1.1M
Magnetic Resonance Electrical Properties TomographyR21EB017069 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2013 to 2014
$410k
Multi-excitation magnetoacoustic imaging of tissue conductivitiesR21EB014353 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2012 to 2013
$380k
NEI NIH HHS R01 EY023101NHLBI NIH HHS U01 HL117664NIBIB NIH HHS R01 EB021027NIBIB NIH HHS R21 EB014353NIBIB NIH HHS R21 EB017069NINDS NIH HHS R01 NS096761
6 · The paper itself

Abstract

objectiveThe purpose is to provide a comprehensive review of the electrical properties tomography (EPT) technique, which was introduced to image the electrical properties (EPs) of tissue noninvasively by exploiting the measured field data of MRI.

methodsWe reviewed the principle of EPT, reconstruction methods, biomedical applications such as tumor imaging, and existing challenges. As a key application of EPT, the estimation of specific absorption rate (SAR) due to MRI was discussed in the background of elevated risk of tissue heating at high field. RESULTS AND

conclusionSince the originally proposed local, homogeneous Helmholtz equation-based reconstruction algorithm, advanced EPT algorithms have emerged to address the challenges of EPT, including reconstruction error near tissue boundaries, noise sensitivity, inaccurate phase estimation, and elimination of the unmeasurable component, along with demonstrations of in vivo experiments. EPT techniques have been applied to investigate EPs of both healthy and pathological tissues in vivo and factors contributing to various EP value, including sodium, water content, etc. More studies are anticipated to consolidate the current findings. EPT-based subject-specific SAR estimation has led to in vivo demonstration of its feasibility and prediction of temperature increase of phantom during MRI scans merely using measured data. SIGNIFICANCE: EPT has the advantage of high resolution and practical feasibility in a clinical setup for imaging the biomedically interesting EPs of tissue in the radiofrequency range. EPT-based SAR estimation is another promising topic for predicting tissue heating of individual subjects during a specific MRI scan.

Indexed as

AlgorithmsAnimalsBrainElectric ConductivityFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeoplasmsPhantoms, ImagingRatsTomography

Identifiers

PMID28829299
PMCPMC5675043

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Registered trials

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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.