ArticleInternational journal of computer assisted radiology and surgery2019
Flexible needle and patient tracking using fractional scanning in interventional CT procedures.
Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Hybrid Deep Learning and Model-Based Needle Shape Prediction.IEEE sensors journal · 2024Article
- Optical Fiber-Based Needle Shape Sensing in Real Tissue: Single Core vs. Multicore Approaches.ArXiv · 2023Article
- Optical Fiber-Based Needle Shape Sensing in Real Tissue: Single Core vs. Multicore Approaches.Journal of medical robotics researchArticle
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
purposeWe present a new method for flexible needle and patient localization in interventional CT procedures based on fractional CT scanning. Our method accurately localizes the trajectory of a flexible needle to which a spherical marker is attached at a known distance from the tip with respect to a baseline scan of patient in the CT scanner coordinate frame.
methodsThe localization is achieved with a significantly lower dose compared to a full scan using sparse view angle sampling and without reconstructing the CT image of the repeat scan. Our method starts by performing rigid registration between the patient and the baseline scan in 3D Radon space computed from the sparse projection data. It then computes 2D projection difference images in which the flexible needle and the spherical marker appear as prominent features. Their 3D spatial locations are then automatically extracted from the projection images to accurately trace the flexible needle trajectory. To validate our method, we conducted registration and needle trajectory localization experiments in seven abdomen phantom scans using a short and a long flexible needle.
resultsOur experimental results yield a mean needle trajectory localization error of 0.7 ± 0.2 mm and a mean tip localization error of 2.4 ± 0.9 mm with a [Formula: see text]7.5 radiation dose reduction with respect to a full CT scan.
conclusionsThe significant radiation dose reduction enables more frequent needle trajectory localization during the needle insertion for a similar total dose, or a reduced total dose for the same localization frequency.
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