Evidence map›Paper›PMID 41600201›Full record

ArticleSensors (Basel, Switzerland)2026

Fusing Prediction and Perception: Adaptive Kalman Filter-Driven Respiratory Gating for MR Surgical Navigation.

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Haoliang LiSchool 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.
Jingyi HuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Tao ZhangSchool 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory-induced target displacement remains a major challenge for achieving accurate and safe augmented-reality-guided thoracoabdominal percutaneous puncture. Existing approaches often suffer from system latency, dependence on intraoperative imaging, or the absence of intelligent timing assistance; Methods: We developed a mixed-reality (MR) surgical navigation system that incorporates Adaptive Kalman-filter-based respiratory prediction module and visual gating cues. The system was evaluated using a dynamic respiratory motion simulation platform. The Kalman filter performs real-time state estimation and short-term prediction of optically tracked respiratory motion, enabling simultaneous compensation for MR model drift and forecasting of the end-inhalation window to trigger visual guidance; Results: Compared with the uncompensated condition, the proposed system reduced dynamic registration error from (3.15 ± 1.23) mm to (2.11 ± 0.58) mm (

Indexed as

Magnetic Resonance ImagingSurgery, Computer-AssistedSurgical Navigation SystemsAlgorithmsAugmented RealityHumansRespirationadaptive kalman filtermixed realityrespiratory gatingrespiratory motion compensation

Identifiers

PMID41600201
PMCPMC12845694

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.