Evidence map›Paper›PMID 39020154›Full record

ArticleJournal of imaging informatics in medicine2025

US & MR/CT Image Fusion with Markerless Skin Registration: A Proof of Concept.

Martina Paccini, Giacomo Paschina, Stefano De Beni, Andrei Stefanov, Velizar Kolev, Giuseppe Patanè

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Martina PacciniCNR-IMATI 'E. Magenes', via de Marini, 6, Genova, Italy. martina.paccini@ge.imati.cnr.it.ORCID http://orcid.org/0000-0002-9751-6104
Giacomo PaschinaEsaote S.p.a., via E. Melen, 77, Genova, Italy.
Stefano De BeniEsaote S.p.a., via E. Melen, 77, Genova, Italy.
Andrei StefanovMedCom GmbH, Dolivostr., 11, Darmstadt, 64293, Germany.
Velizar KolevMedCom GmbH, Dolivostr., 11, Darmstadt, 64293, Germany.
Giuseppe PatanèCNR-IMATI 'E. Magenes', via de Marini, 6, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents an innovative automatic fusion imaging system that combines 3D CT/MR images with real-time ultrasound acquisition. The system eliminates the need for external physical markers and complex training, making image fusion feasible for physicians with different experience levels. The integrated system involves a portable 3D camera for patient-specific surface acquisition, an electromagnetic tracking system, and US components. The fusion algorithm comprises two main parts: skin segmentation and rigid co-registration, both integrated into the US machine. The co-registration aligns the surface extracted from CT/MR images with the 3D surface acquired by the camera, facilitating rapid and effective fusion. Experimental tests in different settings, validate the system's accuracy, computational efficiency, noise robustness, and operator independence.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingMultimodal ImagingSkinTomography, X-Ray ComputedAlgorithmsHumansProof of Concept StudyUltrasonographyComputed tomographyDepth cameraImage processingMagnetic resonance imagingMedical diagnostic imagingMedical image fusionSkin segmentationUltrasound

Identifiers

PMID39020154
PMCPMC11810866

What OpenQuestion holds

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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 OpenQuestion graph.