Evidence map›Paper›PMID 35368616›Full record

ArticleInverse problems2021

Sparsity-based nonlinear reconstruction of optical parameters in two-photon photoacoustic computed tomography.

Madhu Gupta, Rohit Kumar Mishra, Souvik Roy

Abstract read
In one paragraph

Article in Inverse problems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Madhu GuptaDepartment of Mathematics, University of Texas at Arlington, TX 76019, USA.
Rohit Kumar MishraDepartment of Mathematics, University of Texas at Arlington, TX 76019, USA.
Souvik RoyDepartment of Mathematics, University of Texas at Arlington, TX 76019, USA.

Funding

Data-driven QSP software for personalized colon cancer treatmentR21CA242933 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI PAL, SUVRA, ROY, SOUVIK · 2019 to 2020
$547k
NCI NIH HHS R21 CA242933
6 · The paper itself

Abstract

We present a new nonlinear optimization approach for the sparse reconstruction of single-photon absorption and two-photon absorption coefficients in the photoacoustic computed tomography (PACT). This framework comprises of minimizing an objective functional involving a least squares fit of the interior pressure field data corresponding to two boundary source functions, where the absorption coefficients and the photon density are related through a semi-linear elliptic partial differential equation (PDE) arising in PAT. Further, the objective functional consists of an

Indexed as

35R3049J2049K2065M0882C31Inverse problemsPDE-constrained optimizationproximal methodssparsity patternstwo-photon photoacoustic tomography

Identifiers

PMID35368616
PMCPMC8974639

What OpenQuestion holds

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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.