Evidence map›Paper›PMID 36042549›Full record

ArticleJournal of biomedical optics2022

Registration of polarimetric images for in vivo skin diagnostics.

Lennart Jütte, Gaurav Sharma, Harshkumar Patel, Bernhard Roth

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Polarimetric Imaging for Robot Perception: A Review.Sensors (Basel, Switzerland) · 2024
    Review
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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

4 authors at 1 institution in 1 country.

Lennart JütteLeibniz Univ. Hannover, Germany.
Gaurav SharmaLeibniz Univ. Hannover, Germany.
Harshkumar PatelLeibniz Univ. Hannover, Germany.
Bernhard RothLeibniz Univ. Hannover, Germany.
Leibniz University Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

significanceMueller matrix (MM) polarimetry is a promising tool for the detection of skin cancer. Polarimetric in vivo measurements often suffer from misalignment of the polarimetric images due to motion, which can lead to false results.

aimWe aim to provide an easy-to-implement polarimetric image data registration method to ensure proper image alignment. APPROACH: A feature-based image registration is implemented for an MM polarimeter for phantom and in vivo human skin measurements.

resultsWe show that the keypoint-based registration of polarimetric images is necessary for in vivo skin polarimetry to ensure reliable results. Further, we deliver an efficient semiautomated method for the registration of polarimetric images.

conclusionsImage registration for in vivo polarimetry of human skin is required for improved diagnostics and can be efficiently enhanced with a keypoint-based approach.

Indexed as

SkinHumansSpectrum Analysisbiomedical imagingdermoscopyimage registrationMueller matrixpolarimetry

Identifiers

PMID36042549
PMCPMC9424913
OpenAlexW4293660887

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.