Abstract
A method for segmenting the 3D shape of curved needles in solid tissue is described. An actuator attached to the needle outside the tissue vibrates at frequencies between 600 Hz and 6500 Hz, while 3D power Doppler ultrasound imaging is applied to detect the resulting motion of the needle shaft and surrounding tissue. The cross section of the vibrating needle is detected across the series of 2D images produced by a mechanical 3D ultrasound transducer, and the needle shape is reconstructed by fitting a 3D curve to the resulting points. The sensitivity of segmentation accuracy to tissue composition, vibration frequency, and Doppler pulse repetition frequency (PRF) was examined. Comparison with manual segmentation demonstrates that this method results in an average error of 1.09 mm in ex vivo tissue. This segmentation method may be useful in the future for providing feedback on curved needle shape for control of robotic needle steering systems.
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References
Aboofazeli, M., Abolmaesumi, P., Mousavi, P., Fichtinger, G.: A new scheme for curved needle segmentation in three-dimensional ultrasound images. In: IEEE Int. Symp. Biomedical Imaging: Nano to Macro, pp. 1067–1070 (2009)
Armstrong, G., Cardon, L., Vlkomerson, D., Lipson, D., Wong, J., Rodriguez, L.L., Thomas, J.D., Griffin, B.P.: Localization of needle tip with color doppler during pericardiocentesis: In vitro validation and initial clinical application. J. American Soc. Echocardiography 14, 29–37 (2001)
Ayvaci, A., Yan, P., Xu, S., Soatto, S., Kruecker, J.: Biopsy needle detection in transrectal ultrasound. Comput. Med. Imag. Grap. 35(7), 653–659 (2011)
Barva, M., Uhercik, M., Mari, J.M., Kybic, J., Duhamel, J.R., Liebgott, H., Hlavac, V., Cachard, C.: Parallel integral projection transform for straight electrode localization in 3-D ultrasound images. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 55(7), 1559–1569 (2008)
Cheung, S., Rohling, R.: Enhancement of needle visibility in ultrasound-guided percutaneous procedures. Ultrasound Med. Biol. 30(5), 617–624 (2004)
Cool, D.W., Gardi, L., Romagnoli, C., Saikaly, M., Izawa, J.I., Fenster, A.: Temporal-based needle segmentation algorithm for transrectal ultrasound prostate biopsy procedures. Med. Phys. 37(4), 1660–1673 (2010)
Ding, M., Cardinal, H.N., Fenster, A.: Automatic needle segmentation in 3D ultrasound images using two orthogonal 2D image projections. Med. Phys. 30(2), 222–234 (2003)
Ding, M., Fenster, A.: A real-time biopsy needle segmentation technique using hough transform. Med. Phys. 30(8), 2222–2233 (2003)
Feld, R., Needleman, L., Goldberg, B.: Use of a needle-vibrating device and color doppler imaging for sonographically guided invasive procedures. Am. J. Roentgenology 168, 255–256 (1997)
Fronheiser, M.P., Idriss, S.F., Wolf, P.D., Smith, S.W.: Vibrating interventional device detection using real-time 3-D color doppler. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 55(6), 1355–1362 (2008)
Harmat, A., Rohling, R.N., Salcudean, S.E.: Needle tip localization using stylet vibration. Ultrasound Med. Biol. 32(9), 1339–1348 (2006)
Holen, J., Waag, R.C., Gramiak, R.: Improved needle-tip visualization by color Doppler sonography. Am. J. Roentgenol. 156, 401–402 (1985)
Holen, J., Waag, R.C., Gramiak, R.: Representations of rapidly oscillating structures on the Doppler display. Ultrasound Med. Biol. 11(2), 267–272 (1985)
Majewicz, A., Wedlick, T., Reed, K., Okamura, A.: Evaluation of robotic needle steering in ex vivo tissue. In: IEEE Int. Conf. Robotics Automation, pp. 2068–2073 (2010)
McAleavey, S.A., Rubens, D.J., Parker, K.J.: Doppler ultrasound imaging of magnetically vibrated brachytherapy seeds. IEEE Trans. Biomed. Eng. 50(2), 252–255 (2003)
Neshat, H.R.S., Patel, R.V.: Real-time parametric curved needle segmentation in 3D ultrasound images. In: IEEE RAS EMBS Int. Conf. Biomedical Robotics Biomechatronics, pp. 670–675 (2008)
Novotny, P.M., Stoll, J.A., Vasilyev, N.V., del Nido, P.J., Dupont, P.E., Zickler, T.E., Howe, R.D.: GPU based real-time instrument tracking with three-dimensional ultrasound. Med. Im. Anal. 11(5), 458–464 (2007)
Okazawa, S.H., Ebrahimi, R., Chuang, J., Rohling, R.N., Salcudean, S.E.: Methods for segmenting curved needles in ultrasound images. Med. Im. Anal. 10(3), 330–342 (2006)
Qiu, W., Ding, M., Yuchi, M.: Needle segmentation using 3D quick randomized hough transform. In: IEEE Int. Conf. Intelligent Networks Intelligent Systems, pp. 449–452 (2008)
Reddy, K.E., Light, E.D., Rivera, D.J., Kisslo, J.A., Smith, S.W.: Color doppler imaging of cardiac catheters using vibrating motors. Ultrasonic Imaging 30, 247–250 (2008)
Reed, K.B., Majewicz, A., Kallem, V., Alterovitz, R., Goldberg, K., Cowan, N.J., Okamura, A.M.: Robot-assisted needle steering. IEEE Robot. Autom. Mag. 18(4), 33–46 (2011)
Rogers, A.J., Light, E.D., Smith, S.W.: 3-D ultrasound guidance of autonomous robot for location of ferrous shrapnel. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 56(7), 1301–1303 (2009)
Uhercík, M., Kybic, J., Liebgott, H., Cachard, C.: Model fitting using ransac for surgical tool localization in 3D ultrasound images. IEEE Trans. Biomed. Eng. 57(8), 1907–1916 (2010)
Wedlick, T.: Models and techniques to enhance the accuracy of robotic needle insertion. Ph.D. thesis, The Johns Hopkins University (2013)
Wei, Z., Gardi, L., Downey, D.B., Fenster, A.: Oblique needle segmentation and tracking for 3D TRUS guided prostate brachytherapy. Med. Phys. 32(9), 2928–2941 (2005)
Wood, N.A., Shahrour, K., Ost, M.C., Riviere, C.N.: Needle steering system using duty-cycled rotation for percutaneous kidney access. In: Int. Conf. IEEE EMBS, pp. 5432–5435 (2010)
Zhou, H., Qiu, W., Ding, M., Songgen, Z.: Automatic needle segmentation in 3D ultrasound images using 3D improved hough transform. In: SPIE Medical Imaging: Image-Guided Procedures Modeling, vol. 6918, pp. 691821-1–691821-9 (2008)
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Adebar, T.K., Okamura, A.M. (2013). 3D Segmentation of Curved Needles Using Doppler Ultrasound and Vibration. In: Barratt, D., Cotin, S., Fichtinger, G., Jannin, P., Navab, N. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2013. Lecture Notes in Computer Science, vol 7915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38568-1_7
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DOI: https://doi.org/10.1007/978-3-642-38568-1_7
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