Evidence map›Paper›PMID 42317232›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2026

High-speed optical tracking and augmented reality platform for image-guided interventions.

Nati Nawawithan, James Yu, Kelden Pruitt, Baowei Fei

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Nati NawawithanUniversity of Texas at Dallas, Center for Imaging and Surgical Innovation, Richardson, Texas, United States.
James YuUniversity of Texas at Dallas, Center for Imaging and Surgical Innovation, Richardson, Texas, United States.ORCID https://orcid.org/0009-0009-8398-1919
Kelden PruittUniversity of Texas at Dallas, Center for Imaging and Surgical Innovation, Richardson, Texas, United States.
Baowei FeiUniversity of Texas at Dallas, Center for Imaging and Surgical Innovation, Richardson, Texas, United States.ORCID https://orcid.org/0000-0002-9123-9484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: During interventional procedures, clinicians need to mentally register anatomical information from preoperative cross-sectional images onto the patient's body to envision the location of subsurface targets and critical structures. This study aims to address this challenge by developing an augmented reality (AR)-based tracking system that can leverage cross-sectional images to provide real-time three-dimensional (3D) visualization of lesion targets and enable precise surgical procedures. Approach: Our AR platform combines a customized high-speed, real-time, optical tracking system, a holographic display device, a computer workstation, and a graphical user interface. The system displays holograms of virtual models of the target organ and surgical tools, as well as the navigation path. To validate our AR platform, we measured target registration errors (TRE) across two different types of interventional procedures using our high-speed optical tracking system. To conduct these experiments, we performed laparoscopic procedures and prostate biopsies on customized phantoms. Results: The integrated high-speed tracking and AR platform was applied to laparoscopic and biopsy procedures. The average TRE was Conclusions: An augmented reality platform with a high-speed precision optical tracking system was developed for interventional procedures. The AR platform has been demonstrated for potential applications in prostate laparoscopic and biopsy procedures and can be expanded to other interventional procedures.

Indexed as

augmented realitybiopsyimage-guided interventionslaparoscopic surgeryoptical trackingprostate

Identifiers

PMID42317232
PMCPMC13273055

What OpenQuestion holds

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LicenceCC BY
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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.