Evidence map›Paper›PMID 40894111›Full record

ArticleProceedings of the ... IEEE International Symposium on Applications of Ferroelectrics. IEEE International Symposium on Applications of Ferroelectrics2024

A physics-informed neural network approach for determining spatially varying arterial stiffness using ultrasound imaging: Finite Difference simulation and experimental plaque phantom validation.

Tuhin Roy, Paul Kemper, Nima Mobadersany, Elisa E Konofagou

Abstract read
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In one paragraph

Article in Proceedings of the ... IEEE International Symposium on Applications of Ferroelectrics. IEEE International Symposium on Applications of Ferroelectrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Tuhin RoyDepartment of Biomedical Engineering, New York City, USA.
Paul KemperDepartment of Biomedical Engineering, New York City, USA.
Nima MobadersanyDepartment of Biomedical Engineering, New York City, USA.
Elisa E KonofagouDepartment of Biomedical Engineering, New York City, USA.

Funding

Mechanical characterization of carotid plaques for stroke risk assessmentR01HL167085 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Elisa E. Konofagou · 2023 to 2026
$3.0M
NHLBI NIH HHS R01 HL167085
6 · The paper itself

Abstract

Arterial stiffness is a key predictor of cardiovascular mortality. This study utilizes ultrasound-based Pulse Wave Imaging (PWI) and Vector Flow Imaging (VFI) to track vessel wall displacement caused by arterial pulse wave propagation and blood flow velocity at a high frame rate (3.3 kHz) to estimate localized arterial wall stiffness through an Inverse problem setting. We propose a physics-informed neural network (PINN) model to assess spatially varying arterial stiffness, integrating linearized 1D differential equations of pulse wave propagation in flexible tubes. Its effectiveness is validated through in silico data from a finite-difference 1D simulation and a plaque phantom. The proposed PINN model accurately captures localized compliance variations, reflecting arterial wall stiffness in both

Indexed as

Arterial complianceInverse problemPhysics-based machine learningPulse wave propagation

Identifiers

PMID40894111
PMCPMC12393159

What Socratic holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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 Socratic graph.