Evidence map›Paper›PMID 23670981›Full record

ArticleMagnetic resonance in medicine2014

Toward real-time availability of 3D temperature maps created with temporally constrained reconstruction.

Nick Todd, Jaya Prakash, Henrik Odéen, Josh de Bever, Allison Payne, Phaneendra Yalavarthy, Dennis L Parker

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Technical advances in motion-robust MR thermometry.Magnetic resonance in medicine · 2024
    Review
  4. Progress in Understanding Radiofrequency Heating and Burn Injuries for Safer MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Validation of hybrid angular spectrum acoustic and thermal modelling in phantoms.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. An Extended Bayesian-FBP Algorithm.IEEE transactions on nuclear science · 2016
    Article
  17. Article
  18. 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

7 authors.

Nick ToddDepartment of Radiology, University of Utah, Salt Lake City, Utah, USA.
Jaya Prakash
Henrik Odéen
Josh de Bever
Allison Payne
Phaneendra Yalavarthy
Dennis L Parker

Funding

Non-Invasive MRI-Guided HIFU for Breast Cancer TherapyR01CA172787 · NCI · UNIVERSITY OF UTAH · PI PARKER, DENNIS L · 2013 to 2017
$2.7M
Non-Invasive Image-Guided HIFU for Breast Cancer TherapyR01CA134599 · NCI · UNIVERSITY OF UTAH · PI PARKER, DENNIS L, ROEMER, ROBERT · 2008 to 2011
$2.4M
Improved MRI temperature imaging using a subject-specific biophysical modelR01EB013433 · NIBIB · UNIVERSITY OF UTAH · PI PARKER, DENNIS L · 2011 to 2014
$1.8M
MR Temperature Measurements in Fat During MR-Guided HIFU TreatmentsF32EB012917 · NIBIB · UNIVERSITY OF UTAH · PI TODD, NICHOLAS E. · 2011 to 2012
$96k
NCI NIH HHS R01 CA134599NCI NIH HHS R01 CA172787NIBIB NIH HHS F32 EB012917NIBIB NIH HHS F32 EB012917-02NIBIB NIH HHS R01 EB013433NIBIB NIH HHS R01 EB13433
6 · The paper itself

Abstract

purposeTo extend the previously developed temporally constrained reconstruction (TCR) algorithm to allow for real-time availability of three-dimensional (3D) temperature maps capable of monitoring MR-guided high intensity focused ultrasound applications.

methodsA real-time TCR (RT-TCR) algorithm is developed that only uses current and previously acquired undersampled k-space data from a 3D segmented EPI pulse sequence, with the image reconstruction done in a graphics processing unit implementation to overcome computation burden. Simulated and experimental data sets of HIFU heating are used to evaluate the performance of the RT-TCR algorithm.

resultsThe simulation studies demonstrate that the RT-TCR algorithm has subsecond reconstruction time and can accurately measure HIFU-induced temperature rises of 20°C in 15 s for 3D volumes of 16 slices (RMSE = 0.1°C), 24 slices (RMSE = 0.2°C), and 32 slices (RMSE = 0.3°C). Experimental results in ex vivo porcine muscle demonstrate that the RT-TCR approach can reconstruct temperature maps with 192 × 162 × 66 mm 3D volume coverage, 1.5 × 1.5 × 3.0 mm resolution, and 1.2-s scan time with an accuracy of ±0.5°C.

conclusionThe RT-TCR algorithm offers an approach to obtaining large coverage 3D temperature maps in real-time for monitoring MR-guided high intensity focused ultrasound treatments.

Indexed as

AlgorithmsAnimalsComputer SystemsHigh-Intensity Focused Ultrasound AblationImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalIn Vitro TechniquesMagnetic Resonance ImagingReproducibility of ResultsSensitivity and SpecificitySurgery, Computer-AssistedSwineThermographyconstrained reconstructionHIFUMR thermometrytemperature

Identifiers

PMID23670981
PMCPMC3778054

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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.