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Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study

  • Haichong K. Zhang
  • Younsu Kim
  • Abhay Moghekar
  • Nicholas J. Durr
  • Emad M. Boctor
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11042)

Abstract

Spinal interventional procedures, such as lumbar puncture, require insertion of an epidural needle through the spine without touching the surrounding bone structures. To minimize the number of insertion trials and navigate to a desired target, an image-guidance technique is necessary. We developed a single-element needle-based ultrasound system that is composed of a needle-shaped ultrasound transducer that reconstructs B-mode images from lateral movement with synthetic aperture focusing. The objective of this study is to test the feasibility of needle-based single-element ultrasound imaging on spine in vivo. Experimental validation was performed on a metal wire phantom, ex vivo porcine bone in both water tank and porcine tissue, and spine on living swine model. The needle-based ultrasound system could visualize the structure, although reverberation and multiple reflections associated with the needle shaft were observed. These results show the potential of the system to be used for in vivo environment.

Keywords

Needle-based ultrasound Synthetic aperture focusing Spinal intervention Single-element ultrasound imaging 

Notes

Acknowledgements

The authors would like to acknowledge Mateo Paredes, Karun Kannan, Shayan Roychoudhury for their contributions to the project in a variety of capacities. Financial supports were provided by Johns Hopkins University internal funds, NIH Grant No. R21CA202199, and NIGMS-/NIBIB-NIH Grant No. R01EB021396, NSF SCH:CAREER Grant No. 1653322, and CDMRP PCRP No. W81XWH1810188. The authors also acknowledge VentureWell, the Coulter Translational Foundation, and the Maryland Innovation Initiative, and the Steven & Alexandra Cohen Foundation for their support throughout this project.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Johns Hopkins UniversityBaltimoreUSA

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