Evidence map›Paper›PMID 27694717›Full record

ArticlePhysics in medicine and biology2016

An accelerated photo-magnetic imaging reconstruction algorithm based on an analytical forward solution and a fast Jacobian assembly method.

F Nouizi, H Erkol, A Luk, M Marks, M B Unlu, G Gulsen

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

F NouiziDepartment of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA, USA.
H ErkolDepartment of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA, USA.
A LukDepartment of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA, USA.
M MarksDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.
M B UnluDepartment of Physics, Bogazici University, Bebek, Istanbul, Turkey.
G GulsenDepartment of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA, USA.
University of California, Irvine · USBoğaziçi University · TR

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Tomographic Molecular Imaging for Breast CancerR01EB008716 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2008 to 2011
$1.3M
Turn the heat on: High resolution fluorescence imaging via temperature modulationR21CA191389 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2015 to 2016
$407k
Fluorescence Tomography in Small Animal Imaging using an Ultra-fast RTE SolverR21EB013387 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GAO, HAO · 2011 to 2012
$345k
Photomagnetic Imaging: A Novel Modality for Cancer ImagingF31CA171745 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LUK, ALEX T · 2013 to 2015
$128k
Temperature Modulated-Fluorescence Tomography: A New Modality for Cancer ImagingF31CA171915 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KWONG, TIFFANY · 2012 to 2014
$106k
NCI NIH HHS F31 CA171745NCI NIH HHS F31 CA171915NCI NIH HHS P30 CA062203NCI NIH HHS R21 CA191389NIBIB NIH HHS R01 EB008716NIBIB NIH HHS R21 EB013387
6 · The paper itself

Abstract

We previously introduced photo-magnetic imaging (PMI), an imaging technique that illuminates the medium under investigation with near-infrared light and measures the induced temperature increase using magnetic resonance thermometry (MRT). Using a multiphysics solver combining photon migration and heat diffusion, PMI models the spatiotemporal distribution of temperature variation and recovers high resolution optical absorption images using these temperature maps. In this paper, we present a new fast non-iterative reconstruction algorithm for PMI. This new algorithm uses analytic methods during the resolution of the forward problem and the assembly of the sensitivity matrix. We validate our new analytic-based algorithm with the first generation finite element method (FEM) based reconstruction algorithm previously developed by our team. The validation is performed using, first synthetic data and afterwards, real MRT measured temperature maps. Our new method accelerates the reconstruction process 30-fold when compared to a single iteration of the FEM-based algorithm.

Identifiers

PMID27694717
PMCPMC5378690
OpenAlexW2528630855

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.