Evidence map›Paper›PMID 32923039›Full record

ArticleBiomedical optics express2020

Resolving tissue chromophore concentration at MRI resolution using multi-wavelength photo-magnetic imaging.

Maha Algarawi, Hakan Erkol, Alex Luk, Seunghoon Ha, Mehmet B Ünlü, Gultekin Gulsen, Farouk Nouizi

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2020. 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
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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

7 authors at 3 institutions in 2 countries.

Maha AlgarawiCenter for Functional Onco-Imaging, University of California Irvine, CA 92697, USA.
Hakan ErkolDepartment of Physics, Bogazici University, Istanbul, Turkey.
Alex LukCenter for Functional Onco-Imaging, University of California Irvine, CA 92697, USA.
Seunghoon HaPhilips Healthcare, Pewaukee, WI 53002, USA.
Mehmet B ÜnlüDepartment of Physics, Bogazici University, Istanbul, Turkey.
Gultekin GulsenCenter for Functional Onco-Imaging, University of California Irvine, CA 92697, USA.
Farouk NouiziCenter for Functional Onco-Imaging, University of California Irvine, CA 92697, USA.ORCID https://orcid.org/0000-0001-5395-2505
University of California, Irvine · USBoğaziçi University · TRPhilips (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photo-magnetic imaging (PMI) is an emerging optical imaging modality that showed great performance on providing absorption maps with high resolution and quantitative accuracy. As a multi-modality technology, PMI warms up the imaged object using a near infrared laser while temperature variation is measured using magnetic resonance imaging. By probing tissue at multiple wavelengths, concentration of the main tissue chromophores such as oxy- and deoxy-hemoglobin, lipid, and water are obtained then used to derive functional parameters such as total hemoglobin concentration and relative oxygen saturation. In this paper, we present a multi-wavelength PMI system that was custom-built to host five different laser wavelengths. After recovering the high-resolution absorption maps, a least-squared minimization process was used to resolve the different chromophore concentration. The performance of the system was experimentally tested on a phantom with two different dyes. Their concentrations were successfully assessed with high spatial resolution and average accuracy of nearly 80%.

Identifiers

PMID32923039
PMCPMC7449711
OpenAlexW3039655929

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.