Evidence map›Paper›PMID 42250194›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Enhancing ultrasound augmentation of laparoscopic video using hybrid electromagnetic-ArUco tracking.

Lowell Lobo, Daragh Crowley, William Plishker, Alex I Halpern, Trong Nguyen, Timothy Kane, Raj Shekhar

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lowell LoboChildren's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.ORCID http://orcid.org/0009-0003-9066-5670
Daragh CrowleyChildren's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
William PlishkerIGI Technologies, 2601 University Blvd West, Silver Spring, MD, 20902, USA.
Alex I HalpernChildren's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Trong NguyenAusculTech Dx, 2601 University Blvd West, Silver Spring, MD, 20902, USA.
Timothy KaneChildren's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Raj ShekharChildren's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA. rshekhar@childrensnational.org.

Funding

A clinical platform for ultrasound-augmented laparoscopyR01EB030093 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI Raj Shekhar · 2023 to 2026
$2.1M
NIBIB NIH HHS R01 EB030093NIH HHS R01EB030093
6 · The paper itself

Abstract

purposeThis work aims to develop and validate a hybrid electromagnetic(EM)-ArUco tracking framework integrated into a laparoscopic ultrasound augmentation system, aiming to improve accuracy, stability, and robustness in intraoperative visualization.

methodsA novel hybrid tracking method was developed that combines continuous hardware-based EM tracking with accurate but intermittent computer vision-based ArUco marker tracking, utilizing dynamically computed correction matrices to optimize the real-time spatial alignment of ultrasound and laparoscopic images. Validation involved three experiments: image-based analysis measuring pixel error between projected and ground-truth needle tips, target registration error analysis quantifying the distance between an EM- tracked stylus tip and the inverse projection from the ultrasound, and an ex vivo tissue experiment to assess distortions in a simulated clinical environment.

resultsHybrid tracking demonstrated a significant reduction in tracking error compared to EM tracking alone. Hybrid tracking reduced projection error from 116 ± 49 px to 49 ± 18 px and decreased registration error from 2.1 ± 0.9 mm to 1.1 ± 0.6 mm. Under the influence of externally applied distortion, hybrid tracking improved tracking accuracy by approximately 62.3%. The system also exhibited robustness to camera rotation and zoom changes during periodic ArUco marker detection.

conclusionThe hybrid tracking framework significantly improved accuracy, stability, and robustness compared to EM tracking. This integration has the potential to enhance intraoperative visualization, thereby contributing to safer and more effective minimally invasive surgeries.

Indexed as

ArUcoAugmented realityElectromagnetic trackingHybrid trackingLaparoscopic ultrasound

Identifiers

PMID42250194

What OpenQuestion holds

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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.