Evidence map›Paper›PMID 24960528›Full record

ArticleIEEE transactions on medical imaging2014

Sparse matrix beamforming and image reconstruction for 2-D HIFU monitoring using harmonic motion imaging for focused ultrasound (HMIFU) with in vitro validation.

Gary Y Hou, Jean Provost, Julien Grondin, Shutao Wang, Fabrice Marquet, Ethan Bunting, Elisa E Konofagou

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Three-Dimensional Super-Resolution Passive Cavitation Mapping in Laser Lithotripsy.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  4. Optimization of the Tracking Beam Sequence in Harmonic Motion Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  5. Article
  6. Real-Time Passive Acoustic Mapping Using Sparse Matrix Multiplication.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  7. Harmonic Motion Imaging of Pancreatic Tumor Stiffness Indicates Disease State and Treatment Response.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Mechanics of ultrasound elastography.Proceedings. Mathematical, physical, and engineering sciences · 2017
    Review
  12. 3D Quasi-Static Ultrasound Elastography With Plane Wave In Vivo.IEEE transactions on medical imaging · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Thermometry and ablation monitoring with ultrasound.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2015
    Review
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 at 1 institution in 1 country.

Gary Y Hou
Jean Provost
Julien Grondin
Shutao Wang
Fabrice Marquet
Ethan Bunting
Elisa E Konofagou
Columbia University · US

Funding

EARLY DETECTION AND MAPPING OF ISCHEMIA USING MYOCARDIAL ELASTOGRAPHYR01EB006042 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2006 to 2018
$4.3M
Noninvasive arrhythmia mapping using Electromechanical Wave ImagingR01HL114358 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2012 to 2016
$1.9M
Ultrasound-based tumor targeting and thermal ablation monitoring systemR01EB014496 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2011 to 2014
$1.4M
NHLBI NIH HHS R01HL114358NIBIB NIH HHS R01EB006042NIBIB NIH HHS R01 EB014496
6 · The paper itself

Abstract

Harmonic motion imaging for focused ultrasound (HMIFU) utilizes an amplitude-modulated HIFU beam to induce a localized focal oscillatory motion simultaneously estimated. The objective of this study is to develop and show the feasibility of a novel fast beamforming algorithm for image reconstruction using GPU-based sparse-matrix operation with real-time feedback. In this study, the algorithm was implemented onto a fully integrated, clinically relevant HMIFU system. A single divergent transmit beam was used while fast beamforming was implemented using a GPU-based delay-and-sum method and a sparse-matrix operation. Axial HMI displacements were then estimated from the RF signals using a 1-D normalized cross-correlation method and streamed to a graphic user interface with frame rates up to 15 Hz, a 100-fold increase compared to conventional CPU-based processing. The real-time feedback rate does not require interrupting the HIFU treatment. Results in phantom experiments showed reproducible HMI images and monitoring of 22 in vitro HIFU treatments using the new 2-D system demonstrated reproducible displacement imaging, and monitoring of 22 in vitro HIFU treatments using the new 2-D system showed a consistent average focal displacement decrease of 46.7 ±14.6% during lesion formation. Complementary focal temperature monitoring also indicated an average rate of displacement increase and decrease with focal temperature at 0.84±1.15%/(°)C, and 2.03±0.93%/(°)C , respectively. These results reinforce the HMIFU capability of estimating and monitoring stiffness related changes in real time. Current ongoing studies include clinical translation of the presented system for monitoring of HIFU treatment for breast and pancreatic tumor applications.

Indexed as

AlgorithmsAnimalsDogsElastic ModulusEquipment DesignImage Processing, Computer-AssistedLiverPhantoms, ImagingReproducibility of ResultsUltrasonography

Identifiers

PMID24960528
PMCPMC4327913
OpenAlexW2023243589

What OpenQuestion holds

Textmetadata
LicenceTDM
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.