3D ultrasound imaging with active instrumented needle tip tracking: An ex vivo study

Ultrasound US) imaging is widely used for guiding percutaneous needle procedures, but accurate visualisation of the needle tip and patient anatomy in 3D and in real-time is challenging. We introduce a system that integrates 3D US imaging with a needle tip tracking modality for guiding minimally invasive procedures such as nerve blocks and tumour biopsies. Using a 256-element sparse spiral array for real-time 3D imaging, the system also provides precise 3D tracking information of the needle tip with an integrated fibreoptic US sensor (FOS) that communicates with the US imaging probe. FOS data were beamformed to generate an image of the needle tip, precisely pinpointing its location on the B-mode images. The tracking accuracy of the systems was tested in a water tank using a 3D translation stage. The accuracy in the vertical direction (Z, depth) was 0.32 mm ± 0.16 mm (RMSE ± SD). In the lateral and elevational directions, the accuracies were 1.21 mm ± 0.55 mm and 0.63 mm ± 0.15 mm, respectively. The clinical translational potential of the system was further demonstrated with needle insertions into ex vivo chicken tissue. Future development aims to enhance image quality and tracking speed, offering significant advancements in the efficiency and safety of needle-based interventions.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/uffc-js60046.2024.10793565
Citations
1
Primary Topic
Surgical Sutures and Adhesives
Type
article
Field-Weighted Citation Impact
0.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D ultrasound imaging with active instrumented needle tip tracking: An ex vivo study

Laura Peralta, Paul C. Beard, Edward Zhang, Tom Vercauteren et al.
1 citations
Surgical Sutures and Adhesives
0.57
article

3D ultrasound imaging with active instrumented needle tip tracking: An ex vivo study

Laura Peralta, Paul C. Beard, Edward Zhang, Tom Vercauteren, Simeon J. West, Wenfeng Xia, Christian Baker, Sunish Mathews, Weidong Liang, Sébastien Ourselin, Adrien E. Desjardins, Javad Rostami
article en
1 citations

Abstract

Ultrasound US) imaging is widely used for guiding percutaneous needle procedures, but accurate visualisation of the needle tip and patient anatomy in 3D and in real-time is challenging. We introduce a system that integrates 3D US imaging with a needle tip tracking modality for guiding minimally invasive procedures such as nerve blocks and tumour biopsies. Using a 256-element sparse spiral array for real-time 3D imaging, the system also provides precise 3D tracking information of the needle tip with an integrated fibreoptic US sensor (FOS) that communicates with the US imaging probe. FOS data were beamformed to generate an image of the needle tip, precisely pinpointing its location on the B-mode images. The tracking accuracy of the systems was tested in a water tank using a 3D translation stage. The accuracy in the vertical direction (Z, depth) was 0.32 mm ± 0.16 mm (RMSE ± SD). In the lateral and elevational directions, the accuracies were 1.21 mm ± 0.55 mm and 0.63 mm ± 0.15 mm, respectively. The clinical translational potential of the system was further demonstrated with needle insertions into ex vivo chicken tissue. Future development aims to enhance image quality and tracking speed, offering significant advancements in the efficiency and safety of needle-based interventions.

University College Hospital (GB), University College London (GB)
Royal Society
Affordable and clean energy
Openalex Percentile: Top 26%
Surgical Sutures and Adhesives
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.