ArticleInternational journal of computer assisted radiology and surgery2022
AutoInFocus, a new paradigm for ultrasound-guided spine intervention: a multi-platform validation study.
Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Updates in ultrasound-guided musculoskeletal interventions.The British journal of radiology · 2026Review
- Phantom experiment for thoracic spine gap delineation using steering-transmitted ultrasound to assist epidural anesthesia.Journal of medical ultrasonics (2001) · 2026Article
- Automatic photoacoustic monitoring of perinatal brain hypoxia with superior sagittal sinus detection.Journal of biomedical optics · 2025Article
- Wearable Mechatronic Ultrasound-integrated AR Navigation System for Lumbar Puncture Guidance.IEEE transactions on medical robotics and bionics · 2023Article
- Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study.International journal of computer assisted radiology and surgery · 2023Article
- A novel design framework of synthetic radial aperture focusing for volumetric transrectal ultrasound imaging.Journal of computational design and engineering · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeUltrasound-guided spine interventions often suffer from the insufficient visualization of key anatomical structures due to the complex shapes of the self-shadowing vertebrae. Therefore, we propose an ultrasound imaging paradigm, AutoInFocus (automatic insonification optimization with controlled ultrasound), to improve the key structure visibility.
methodsA phased-array probe is used in conjunction with a motion platform to image a controlled workspace, and the resulting images from multiple insonification angles are combined to reveal the target anatomy. This idea is first evaluated in simulation and then realized as a robotic platform and a miniaturized patch device. A spine phantom (CIRS) and its CT scan were used in the evaluation experiments to quantitatively and qualitatively analyze the advantages of the proposed method over the traditional approach.
resultsWe showed in simulation that the proposed system setup increased the visibility of interspinous space boundary, a key feature for lumbar puncture guidance, from 44.13 to 67.73% on average, and the 3D spine surface coverage from 14.31 to 35.87%, compared to traditional imaging setup. We also demonstrated the feasibility of both robotic and patch-based realizations in a spine phantom study.
conclusionThis work lays the foundation for a new imaging paradigm that leverages redundant and controlled insonification to allow for imaging optimization of the complex vertebrae anatomy, making it possible for high-quality visualization of key anatomies during ultrasound-guided spine interventions.
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35334043What OpenQuestion holds
Registered trials
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.