Evidence map›Paper›PMID 40276680›Full record

ArticlePhotoacoustics2025

Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes.

Ujjal Mandal, Navroop Singh, Kartikay Singh, Vinit Nana Hagone, Jagpreet Singh, Anshu S Anand, Ben T Cox, Ratan K Saha

Abstract read
In one paragraph

Article in Photoacoustics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Ujjal MandalDepartment of Applied Sciences, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj, 211015, Uttar Pradesh, India.
Navroop SinghDepartment of Computer Science and Engineering, Indian Institute of Technology Ropar, Street 29, Ropar, 140001, Punjab, India.
Kartikay SinghDepartment of Computer Science and Engineering, Indian Institute of Technology Ropar, Street 29, Ropar, 140001, Punjab, India.
Vinit Nana HagoneDepartment of Computer Science and Engineering, Indian Institute of Technology Ropar, Street 29, Ropar, 140001, Punjab, India.
Jagpreet SinghDepartment of Computer Science and Engineering, Indian Institute of Technology Ropar, Street 29, Ropar, 140001, Punjab, India.
Anshu S AnandDepartment of Information Technology, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj, 211015, Uttar Pradesh, India.
Ben T CoxDepartment of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK.
Ratan K SahaDepartment of Applied Sciences, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj, 211015, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerical implementation of the Born series procedure is a computationally expensive task. Various computational strategies have been adopted and tested in this work for fast execution of the convergent Born series (CBS) algorithm for solving inhomogeneous Helmholtz equation in the context of biomedical photoacoustics (PAs). The PA field estimated by the CBS method for a solid circular disk approximating a red blood cell exhibits excellent agreement with the analytical result. It is observed that PA pressure map for a collection of red blood cells (mimicking blood) retains the signature of multiple scattering of acoustic waves by the acoustically inhomogeneous PA sources. The developed numerical tool realizing the CBS algorithm compatible with systems having multiple graphics processing units can be utilized further for accurate and fast estimation of the PA field for large tissue media.

Indexed as

Convergent Born seriesGPU computationGreen’s functionHelmholtz equationMultiple scatteringMulti-thread/parallel computation

Identifiers

PMID40276680
PMCPMC12019201

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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.