Evidence map›Paper›PMID 37910613›Full record

ArticleScience advances2023

Acoustic diffraction-resistant adaptive profile technology (ADAPT) for elasticity imaging.

Yuyang Gu, Viksit Kumar, E G Sunethra K Dayavansha, Scott Schoen, Ernest Feleppa, Rimon Tadross, Michael H Wang, Michael J Washburn, Kai Thomenius, Anthony E Samir

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

10 authors.

Yuyang GuDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.ORCID 0000-0002-6545-2521
Viksit KumarDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.ORCID 0000-0003-0056-5223
E G Sunethra K DayavanshaDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.
Scott SchoenDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.ORCID 0000-0001-7195-2883
Ernest FeleppaDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.
Rimon TadrossGeneral Electric Healthcare, Wauwatosa, WI 53226, USA.
Michael H WangGeneral Electric Healthcare, Wauwatosa, WI 53226, USA.ORCID 0000-0002-5784-8550
Michael J WashburnGeneral Electric Healthcare, Wauwatosa, WI 53226, USA.
Kai ThomeniusDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.ORCID 0000-0002-4435-843X
Anthony E SamirDepartment of Radiology, Massachusetts General Hospital, Center for Ultrasound Research and Translation, Boston, MA 02114, USA.ORCID 0000-0002-7801-8724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acoustic beam shaping with high degrees of freedom is critical for applications such as ultrasound imaging, acoustic manipulation, and stimulation. However, the ability to fully control the acoustic pressure profile over its propagation path has not yet been achieved. Here, we demonstrate an acoustic diffraction-resistant adaptive profile technology (ADAPT) that can generate a propagation-invariant beam with an arbitrarily desired profile. By leveraging wave number modulation and beam multiplexing, we develop a general framework for creating a highly flexible acoustic beam with a linear array ultrasonic transducer. The designed acoustic beam can also maintain the beam profile in lossy material by compensating for attenuation. We show that shear wave elasticity imaging is an important modality that can benefit from ADAPT for evaluating tissue mechanical properties. Together, ADAPT overcomes the existing limitation of acoustic beam shaping and can be applied to various fields, such as medicine, biology, and material science.

Indexed as

AcousticsTransducersElasticityMaterials ScienceUltrasonography

Identifiers

PMID37910613
PMCPMC10619922

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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.