Evidence map›Paper›PMID 38021141›Full record

ArticleBiomedical optics express2023

Handheld interventional ultrasound/photoacoustic puncture needle navigation based on deep learning segmentation.

Xiangwei Lin, Hongji Shi, Xiaozhou Fan, Jiaxin Wang, Zhenyu Fu, Yuqing Chen, Siping Chen, Xin Chen, Mian Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2023. 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

9 authors.

Xiangwei LinSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.
Hongji ShiSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.
Xiaozhou FanDepartment of Ultrasound, Air Force Medical Center, Air Force Medical University, 30 Fucheng Road, Beijing 100142, China.
Jiaxin WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, 11 Huandong Road, Beijing 102488, China.
Zhenyu FuSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.
Yuqing ChenSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.
Siping ChenSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.
Xin ChenSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.
Mian ChenSchool of Biomedical Engineering, Shenzhen University, 1066 Xueyuan Ave, Shenzhen 518057, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interventional ultrasound (US) has challenges in accurate localization of the puncture needle due to intrinsic acoustic interferences, which lead to blurred, indistinct, and even invisible needles in handheld linear array transducer-based US navigation, especially the incorrect needle tip positioning. Photoacoustic (PA) imaging can provide complementary image contrast, without additional data acquisition. Herein, we proposed an internal illumination to solely light up the needle tip in PA imaging. Then deep-learning-based feature segmentation alleviates acoustic interferences, enhancing the needle shaft-tip visibility. Further, needle shaft-tip compensation aligned the needle shaft in US image and the needle tip in the PA image. The experiments on phantom,

Identifiers

PMID38021141
PMCPMC10659795

What OpenQuestion holds

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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.