Evidence map›Paper›PMID 41720835›Full record

ArticleScientific reports2026

A superior ultrafast parallel BMAS architecture for high-resolution medical ultrasound imaging.

Sreejeesh Sg, Sakthivel R, Jayaraj U Kidav

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sreejeesh SgVellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.
Sakthivel RVellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India. rsakthivel@vit.ac.in.
Jayaraj U KidavNational Institute of Electronics and Information Technology, Dr. B.A, M. University Campus, Aurangabad, Maharashtra, 431004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proposed work aims to design, a novel ultrafast–parallel beamformer core for medical ultrasound imaging systems that is superior in performance compared to preceding beamformers. The architecture is aimed at achieving high-resolution images using 128 channels and at minimizing the hardware resources deployed for the architecture. There are many technological barriers in implementing an architecture that involves parallel receive beamforming which is the main critical block in an Ultrasound Imaging system. A superior algorithm Beam Multiply And Sum (BMAS) is used in receive beamforming to achieve high resolution images. The delay line architecture is visualized using 28-read 1-write multi ported memory. The hardware resources were optimized using external Static Random Access Memory (SRAM). The designed architecture was implemented using Verilog (RTL) coding, and the validation of the beamformer was performed on the Verasonics Vantage-64 Ultrasound Research Platform (URP). A high end custom built FPGA board that houses an XC7K410T Xilinx- Kintex 7 device was used for implementation. The complete imaging system was tested on an indigenously developed in-house ultrasound scanner prototype. The images received were compared against previous works and found to be superior as the resolution of the images improved from the previous delay and sum algorithm based version of the parallel beamformer core. The frame rate achieved by the system was 571 fps for a [Formula: see text] resolution with FOV of [Formula: see text]. It is concluded that the architecture is superior in terms of resolution and can be adapted for ultra-fast beamforming applications.

Indexed as

Image Processing, Computer-AssistedAlgorithmsHumansUltrasonography

Identifiers

PMID41720835
PMCPMC13021912

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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.