Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction

Author:

Yan WanquanORCID,Ding QingpengORCID,Chen JianghuaORCID,Yan KimORCID,Tang Raymond Shing-YanORCID,Cheng Shing ShinORCID

Funder

Research Grants Council, University Grants Committee

Innovation and Technology Commission

Chinese University of Hong Kong

Shun Hing Institute of Advanced Engineering

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference68 articles.

1. Experimental evaluation of ultrasound-guided 3D needle steering in biological tissue;Abayazid;Int. J. Comput. Assist. Radiol. Surg.,2014

2. Optimal reconstruction of human motion from scarce multimodal data;Averta;IEEE Trans. Hum.-Mach. Syst.,2022

3. Accurate in-plane and out-of-plane ultrasound-based tracking of the discretely actuated steerable cannula;Ayvali,2014

4. Detection of an invisible needle in ultrasound using a probabilistic SVM and time-domain features;Beigi;Ultrasonics,2017

5. CASPER: computer-aided segmentation of imperceptible motion—a learning-based tracking of an invisible needle in ultrasound;Beigi;Int. J. Comput. Assist. Radiol. Surg.,2017

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3. Sensing Technologies for Guidance During Needle-Based Interventions;IEEE Transactions on Instrumentation and Measurement;2024

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