A Unified Approach to Improve the Computation Time and Image Quality of Ultrasound Strain Imaging

Show simple item record

dc.contributor.author Arfin, Rishad
dc.contributor.author Ahmed, Rifat
dc.contributor.author Hossan, Monir
dc.date.accessioned 2021-10-14T09:44:14Z
dc.date.available 2021-10-14T09:44:14Z
dc.date.issued 2012-11-15
dc.identifier.citation [1] J. Ophir, I. Céspedes, H. Ponnekanti, Y. Yazdi, X. Li, Elastography: A quantitative method for imaging the elasticity of biological tissues, Ultrasonic Imaging, Volume 13, Issue 2, April 1991, Pages 111-134, ISSN 0161-7346, 10.1016/0161-7346(91)90079-W. [2] A. Webb, Introduction to Biomedical Imaging, John Wiley & Sons, Inc, 2003 [3] Anderson WAD, Pathology, CW Mosby Co., St Louis, 1953. [4] J. Ophir, I. Cespedes, B. Garra, H. Ponnekanti, Y. Huang, N. Maklad, Elastography: Ultrasonic imaging of tissue strain and elastic modulus in vivo, European Journal of Ultrasound, Volume 3, Issue 1, January 1996, Pages 49-70, ISSN 0929-8266, 10.1016/0929- 8266(95)00134-4. [5] E. D. Landau and E. M. Lifshitz. Theory of elasticity. Pergamon Press, Oxford, third edition, 1986. [6] J. E. Lindop, 2D and 3D elasticity imaging using freehand ultrasound, Ph.D. dissertation, University of Cambridge [7] Y. C. Fung. Biomechanics: Mechanical properties of living tissues. Springer, 1993. [8] A. Tarantola. Inverse Problem Theory and Methods for Model Parameter Estimation. Society for Industrial and Applied Mathematics, 1988. [9] P. E. Barbone and J. C. Bamber. Quantitative elasticity imaging: what can and cannot eb inferred from strain images. Physics in Medicine and Biology, 47(12):2147-2164, June 2002. [10] De Jong, P.G.M., Arts, T., Hoeks, A.P.G., and Reneman, R.S., Determination of tissue motion velocity by correlation interpolation of pulsed ultrasound echo signals, Ultrasonic Imaging 12, 84-98 (1990). [11] Foster. S.G., Embree, M.P., and O’Brien, W.D., Flow velocity profile via time-domain correlation: error analysis and computer simulation, IEEE Trans. Ultrason. Ferroel. Freq. Control, Vol.37, No,2, 164-174,1990. [12] Stark, P.A., Introductionto numerical analysis, Ch. 8 (Macmillan Publishing Co., New York, 1970). [13] Boucher, R.E. and Hassab, J.C., Analysis of discrete implementation of generalized cross correlator, IEEE Trans. Acoust., Speech and Sig. Proc. ASSP-29, 609-611 (1981) . [14] Alam, S.K.; Ophir, J.; Konofagou, E.E.; , "An adaptive strain estimator for elastography," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on , vol.45, no.2, pp.461-472, March 1998. [15] Zahiri-Azar, R.; Salcudean, S.E.; , "Motion Estimation in Ultrasound Images Using Time Domain Cross Correlation With Prior Estimates," Biomedical Engineering, IEEE Transactions on , vol.53, no.10, pp.1990-2000, Oct. 2006. [16] Pesavento, A.; Perrey, C.; Krueger, M.; Ermert, H.; , "A time-efficient and accurate strain 51 estimation concept for ultrasonic elastography using iterative phase zero estimation," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on , vol.46, no.5, pp.1057-1067, Sept. 1999. [17] O'Donnell, M.; Skovoroda, A.R.; Shapo, B.M.; Emelianov, S.Y.; , "Internal displacement and strain imaging using ultrasonic speckle tracking," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on , vol.41, no.3, pp.314-325, May 1994. [18] S.K. Alam, Novel spline-based approach for robust strain estimation in elastography, Ultrason. Imaging, vol. 32, no.2 pp. 91-102,2010. [19] Hussain, M.A.; Abu Anas, E.M.; Alam, S.K.; Lee, S.Y.; Hasan, Md.K.; , "Direct and gradient-based average strain estimation by using weighted nearest neighbor crosscorrelation peaks," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on , vol.59, no.8, pp.1713-1728, August 2012 [20] Parallel MATLAB doing it right [21] Baida Zhang; Shuai Xu; Feng Zhang; Yuan Bi; Linqi Huang; , "Accelerating MatLab code using GPU: A review of tools and strategies," Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on , vol., no., pp.1875-1878, 8-10 Aug. 2011 [22] Pallwein, L., Mitterberger, M., Struve, P., Pinggera, G., Horninger, W., Bartsch, G., Aigner, F., Lorenz, A., Pedross, F. and Frauscher, F. (2007), Real-time elastography for detecting prostate cancer: preliminary experience. BJU International, 100: 42–46 [23] K. König, U. Scheipers, A. Pesavento, A. Lorenz, H. Ermert, T. Senge, Initial experience with real-time elastography guided biopsies of the prostate, The Journal of Urology, Volume 174, Issue 1, July 2005, Pages 115-117, ISSN 0022-5347, 10.1097/01.ju.0000162043.72294.4a. [24] Thomas, A., Fischer, T., Frey, H., Ohlinger, R., Grunwald, S., Blohmer, J.-U., Winzer, K.-J., Weber, S., Kristiansen, G., Ebert, B. and Kümmel, S. (2006), Real-time elastography — an advanced method of ultrasound: first results in 108 patients with breast lesions. Ultrasound Obstet Gynecol, 28: 335–340. doi: 10.1002/uog.2823 [25] M. Friedrich-Rust, M.F. Ong, E. Herrmann, V. Dries, P. Samaras, S. Zeuzem, C. Sarrazin, Real-Time Elastography for Noninvasive Assessment of Liver Fibrosis in Chronic Viral Hepatitis, American Journal of Roentgenology, AJR March 2007 188:758-764. [26] Pin Lu; Dan Shi; Liu, D.C.; , "Optimized GPU Framework for Ultrasound Strain Imaging," Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on , vol., no., pp.1-4, 10-12 May 2011. [27] N. Deshmukh, H. Rivaz, and E. Boctor, “GPU-based elasticity imaging algorithms”,Proc. Int. Conf. Imag. Comp. & Comp. Assist. Interven., 2009. [28] MATLAB user Guide, http://www.mathworks.com/help/pdf_doc/distcomp/distcomp.pdf [29] B.P. Lathi, Signal processing and linear systems, Oxford University Press [30] Harris, F.J.; , "On the use of windows for harmonic analysis with the discrete Fourier transform," Proceedings of the IEEE , vol.66, no.1, pp. 51- 83, Jan. 1978 52 [31] J. Kong, M. Dimitrov, Y. Yang, J. Liyanage, L. Cao, J. Staple, M. Mantor, H. Zhou, Accelerating MATLAB Image Processing Toolbox functions on GPUs, Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units Pages 75-85. [32] Rosenzweig, S.; Palmeri, M.; Nightingale, K.; , "GPU-based real-time small displacement estimation with ultrasound," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on , vol.58, no.2, pp.399-405, February 2011. en_US
dc.identifier.uri http://hdl.handle.net/123456789/1219
dc.description Supervised by Dr. Kazi Khairul Islam, Professor, Department of Electrical and Electronic Engineering (EEE), Islamic University of Technology (IUT), Organization of Islamic Cooperation (OIC), Gazipur-1704, Bangladesh en_US
dc.description.abstract Medical science relies on technology now more than ever. For both diagnosis and treatment blessing of technology is exploited. Diagnosis of disease using technology comes in various forms. Imaging is a particularly attractive diagnosis methodology. Among the existing diagnostic imaging techniques ultrasound has gained much popularity over the years. Apart from the regular ultrasound imaging techniques ultrasound has some special use. Elastography is such an application of ultrasound. It is actually the imaging of the stiffness of the tissue. Elastography is particularly efficient in diagnosing early cancer particularly breast and prostate cancer. For example, breast cancer is diagnosed by invasive biopsy. But elastography can reduce the rate of biopsy since a large fraction of the tumors of breast are found to be benign. Unlike biopsy elastography provides instant result. It relieves the patient from psychological stress to wait for the result. But elastography is much of a qualitative technique. It can be unreliable at some cases. That’s why extensive research is being performed to improve its quality. In our thesis we have worked on two different aspects of the research. We have presented a software tool that can be used for improving the computation time in elastography. Also, we have proposed a concept of using smooth window functions to improve the image quality and presented some experimental results. en_US
dc.language.iso en en_US
dc.publisher Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.subject elastography, computation time, image quality, smooth window, experimental results. en_US
dc.title A Unified Approach to Improve the Computation Time and Image Quality of Ultrasound Strain Imaging en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search IUT Repository


Advanced Search

Browse

My Account

Statistics