Evidence map›Paper›PMID 40582893›Full record

ArticleUltrasound in medicine & biology2025

Enhanced Ultrasound Image Formation With Computationally Efficient Cross-Angular Delay Multiply and Sum Beamforming.

Cameron A B Smith, Matthieu Toulemonde, Marcelo Lerendegui, Kai Riemer, Dina Malounda, Peter D Weinberg, Mikhail G Shapiro, Meng-Xing Tang

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Article in Ultrasound in medicine & biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Cameron A B SmithDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA; Department of Bioengineering, Imperial College London, London, UK.
Matthieu ToulemondeDepartment of Bioengineering, Imperial College London, London, UK; Department of Earth Science and Engineering, Imperial College London, London, UK.
Marcelo LerendeguiDepartment of Bioengineering, Imperial College London, London, UK.
Kai RiemerDepartment of Bioengineering, Imperial College London, London, UK.
Dina MaloundaDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
Peter D WeinbergDepartment of Bioengineering, Imperial College London, London, UK.
Mikhail G ShapiroDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
Meng-Xing TangDepartment of Bioengineering, Imperial College London, London, UK. Electronic address: mengxing.tang@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUltrasound imaging as a clinical tool is commonly achieved using the delay and sum (DAS) beamforming algorithm, which has limited resolution and suffers from high side lobes. Recently nonlinear processing has proven to be an effective way to enhance image quality. In this work, we describe a new beamforming algorithm called Cross-Angular Delay Multiply and Sum (CADMAS).

methodsCADMAS takes advantage of nonlinear compounding across planewave steering angles to enhance image contrast. This is then implemented with a mathematical reformulation to produce images at a low computational cost. We tested CADMAS in both conventional B-Mode and amplitude modulation imaging across in vitro and in vivo datasets, and for microbubbles and gas vesicles. We compared the results to DAS and two other nonlinear beamformers, frame multiply and sum (FMAS) and delay multiply and sum (DMAS), as well as the combination of the two.

resultsOur results show on average across our datasets a 7.6 to 40 dB improvement in image contrast over DAS and a 4.8 to 20 dB improvement over DMAS. The computation time of CADMAS is between 1 and 2 times that of DAS; in our implementation we experienced a less than 6% increase in computation time.

conclusionOur results show a robust improvement in contrast across multiple datasets both in vitro and in vivo, demonstrating its potential for biological and clinical applications.

Indexed as

AlgorithmsImage EnhancementImage Processing, Computer-AssistedHumansPhantoms, ImagingUltrasonographyAcousticsAMB-ModeCADMASComputational efficiencyContrastDMASFMASGas vesiclesUltrafast imagingUltrasound

Identifiers

PMID40582893
PMCPMC7619473

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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.