Image-guided
needles are currently used for drug delivery in bodies, but the additional time
associated with aligning and maintaining the needle’s position results in increased patient discomfort
or risk of invasion of the human body. In this paper, a needle guidance system
using piezoelectric materials is designed and analyzed for precise drug
delivery without damaging parts of the body and improving processing time. A
piezoelectric generates an ultrasound wave that can propagate through different
mediums, and a second piezoelectric crystal can receive that energy and convert
it into voltage. A 1D real-time image represents the changes of the voltage
induced in the double piezoelectric crystal. Extensive data analysis and
visualization are done using different obstacles and location of the needle
verified for other mediums. The presence of obstacles in between those crystals
can be identified in the real-time grayscale image. The needle can reach its
destination using this image information as directional guidance. This guided
drug delivery improves patient recovery time and eliminates extra injuries that
can be caused due to wrong needle injections, such as lumbar puncture-related
nerve damage.
References
[1]
Brattain, L.J., Floryan, C., Hauser, O.P., Nguyen, M., Yong, R.J., Kesner, S.B., Corn, S.B. and Walsh, C.J. (2011) Simple and Effective Ultrasound Needle Guidance System. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, 8090-8093.
https://doi.org/10.1109/IEMBS.2011.6091995
[2]
Beach, M.L., et al. (2009) A Needle Guide Device is Better than a Free Hand Technique for Ultrasound Guided Cannulation of the Internal Jugular Vein. The Internet Journal of Medical Simulation, 2, 11.
[3]
Royer, T. (2001) Nurse-Driven Interventional Technology: A Cost and Benefit Perspective. Journal of Infusion Nursing, 24, 326-331.
https://doi.org/10.1097/00129804-200109000-00007
[4]
Sigmon, C.H., Hackworth, J. and Schnitta, B.S. (2019) Ultrasound Guidance system and Method. United States Patent No. 10172588
[5]
Liu, J., Kim, K. and Insana, M.F. (2007) SNR Comparisons of Beamforming Strategies. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 54, 1010-1017. https://doi.org/10.1109/TUFFC.2007.346
[6]
Tupholme, G.E. (1969) Generation of Acoustic Pulses by Baffled Plane Pistons. Mathematika, 16, 209-224. https://doi.org/10.1112/S0025579300008184
[7]
Stepanishen, P.R. (1981) Acoustic Transients from Planar Axisymmetric Vibrators Using the Impulse Response Approach. The Journal of the Acoustical Society of America, 70, 1176-1181. https://doi.org/10.1121/1.386949
[8]
Abbey, C.K., Zhu, Y., Bahramian, S. and Insana, M.F. (2017) Linear System Models for Ultrasonic Imaging: Intensity Signal Statistics. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 64, 669-678.
https://doi.org/10.1109/TUFFC.2017.2652451
[9]
Tobergte D.R. and Curtis, S. (2013) Detection, Estimation, and Modulation Theory. Journal of Chemical Information and Modeling, 53, 1689-1699.
[10]
Liu, J. and Insana, M.F. (2005) Coded Pulse Excitation for Ultrasonic Strain Imaging. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 52, 231-240. https://doi.org/10.1109/TUFFC.2005.1406549
[11]
Liu, J., Kim, K., Insana, M.F. and Brunke, S. (2005) Beamforming Using Spatio-Temporal Filtering. IEEE Ultrasonics Symposium, 2, 1216-1219.
[12]
Fitzhugh, S.M., Gibson, C.B., Spiro, E.S. and Butts, C.T. (2016) Spatio-Temporal Filtering Techniques for the Detection of Disaster-Related Communication. Social Science Research, 59, 137-154. https://doi.org/10.1016/j.ssresearch.2016.04.023
[13]
Szilard, J. (1978) Ultrasonic testing of materials. Ultrasonics, 16, 187.
https://doi.org/10.1016/0041-624X(78)90077-X
[14]
Lukanova, D.V., Nikolov, N.K., Genova, K.Z., Stankev, M.D. and Georgieva, E.V. (2015) The Accuracy of Noninvasive Imaging Techniques in Diagnosis of Carotid Plaque Morphology. Open Access Macedonian Journal of Medical Sciences, 3, 224-230.
