Evidence map›Paper›PMID 41892639›Full record

ArticleBrain sciences2026

An Augmented Reality-Based Navigation System for Stereotactic Brain Biopsy with Multi-Objective Path Planning and Hybrid Registration.

Tao Zhang, Shuyi Wang, Yueyang Zhong, Haoliang Li, Jingyi Hu, Haokun Wang

Abstract read
In one paragraph

Article in Brain sciences, 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

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Tao ZhangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Shuyi WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yueyang ZhongSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Haoliang LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Jingyi HuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Haokun WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStereotactic brain biopsy is the gold standard for the pathological diagnosis of malignant brain tumors. However, conventional procedures rely heavily on manual path planning and unintuitive navigation, which significantly increase the risk of severe complications and impose an additional cognitive burden on surgeons.

methodsWe propose an augmented reality-based navigation system that synergizes multi-objective path planning with hybrid registration. Preoperatively, the system utilizes a constrained multi-objective optimization (MOO) model derived from clinical criteria to automatically calculate and visualize optimal biopsy paths within a three-dimensional anatomical environment. Intraoperatively, the system performs rapid initial alignment using quick response (QR) codes, followed by precise refinement through anatomical landmarks. This process ultimately enables the highly accurate, real-time overlay of the surgical path and anatomical models onto the patient's operative field.

resultsAn expert study across four common brain tumor locations demonstrated that the MOO model significantly outperformed manual methods in satisfying safety criteria. The hybrid registration reduced the mean fiducial registration error (FRE) from 4.19 ± 1.11 mm to 2.37 ± 0.91 mm (

conclusionsThis system assists stereotactic brain biopsy through automated path planning and immersive augmented reality-based guidance, highlighting its potential to support surgical workflow consistency and procedural safety.

Indexed as

augmented realityautomated path planningneuronavigationstereotactic brain biopsy

Identifiers

PMID41892639
PMCPMC13024210

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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.