(LUẬN văn THẠC sĩ) nâng cao chất lượng ảnh chụp siêu âm cắt lớp dùng phương pháp nội suy luận văn ths kỹ thuật điên tử viễn thông 60 52 70

ĐẠI HỌC QUỐC GIA HÀ NỘI TRƯỜNG ĐẠI HỌC CÔNG NGHỆ Đ NG N NG C N NG Ư NG CH T Ư NG NH CH I NG HƯ NG H N I N THẠC CÔNG NGHỆ ĐIỆN T C T – I N THÔNG HÀ N I - 2013 TIEU LUAN MOI download : skknchat@gmail.com ĐẠI HỌC QUỐC GIA HÀ NỘI TRƯỜNG ĐẠI HỌC CÔNG NGHỆ Đ NG N NG C NG Ư NG CH T Ư NG NH CH I NG HƯ NG H N I NGÀNH C NG NGH ĐI N CHUYÊN NGÀNH HU C T – I N H NG ĐI N Ố: 60 52 70 N N THẠC NGƯỜI HƯ NG CÔNG NGHỆ ĐIỆN T N H HỌC T – I N THÔNG TR N Đ C T N HÀ N I - 2013 TIEU LUAN MOI download : skknchat@gmail.com ƯƠ .5 1.1 T 1.2 C 1.3 T Ư ƯƠ NG 2.1 BORN ITERATIVE METHOD (BIM) 2.2 DISTORTED BORN ITERATIVE METHOD (DBIM) 11 2.3 B Ư 12 2.4 M N BIM DBIM 14 2.4.1 14 2.4.2 18 2.4.3 21 ƯƠ 3.1 3.2 T ƯƠ 4.1 M 4.2 V ƯƠ T 22 .22 X Ư 24 .28 .28 42 Ư .45 O .46 TIEU LUAN MOI download : skknchat@gmail.com BIM Born Iterative Method DBIM Distorted Born Iterative Method mm (pixel) N /ngang m/s m/s Pa ) Pa Pa rad/m TIEU LUAN MOI download : skknchat@gmail.com (N1 = 10) .24 (N1 = 11) .25 (N1 = 12) .26 (N = 20) 28 - (N1 = 10,N2 = 20) 28 (N = 22) 31 - (N1 = 11,N2 = 22) 32 (N = 34) 35 - (N1 = 17, N2 = 34) 35 (N = 40) 37 - (N1 = 20, N2 = 40) 38 40 41 .42 .43 TIEU LUAN MOI download : skknchat@gmail.com .8 14 .14 15 .15 (N=17) .16 17 17 18 19 19 20 20 21 th biểu diễn m s l n l error (N1 = 10) 25 th biểu diễn m s l n l error (N1 =11) .26 th biểu diễn m s l n l error (N1 = 12) 27 (N = 20) 28 (N1 = 10, N = 20) 29 (N1 = 10, N = 20) .29 (N1 = 10, N = 20) .30 (N1 = 10, N = 20) .30 (N =20) .31 (N = 22) 31 (N1 = 11, N = 22) 32 (N1 = 11, N = 22) 32 (N1 = 11, N = 22) 33 (N1 = 11, N = 22) 33 (N = 22) 34 (N=34) 34 (N1 = 17, N = 34) .35 (N1 = 17, N = 34) 36 (N1 = 17, N = 34) 36 TIEU LUAN MOI download : skknchat@gmail.com (N = 34) 37 (N = 40) 37 (N1 = 20, N = 40) .38 (N1 = 20, N = 40) 39 (N1 = 20, N = 40) 39 (N = 40) 40 41 41 .42 43 4.30 44 4.31 .44 TIEU LUAN MOI download : skknchat@gmail.com 1.1 (magnetic resonance imaging), M ểm l n nh t c pc tinh t é ng t ỏ hữu hi ng h v y, hi i ta k t h p CT v ểt é / E c b h ú u MRI (magnetic resonance imaging) nh CT cho ch ng r t t E ù ể t o nh ch nh gi i phẫu v a kh c ch ửd ix ng l c a l n ch Ư ể ac ú ể õ i n MRI tr th ể ch ể thể ể ch u d ng v i v i s c khoẻ c a thể thai i, ct ob nh th i kỳ t b ng kim lo i c ng c a t ng m u, tr th t c n thi t nh h c b m t ph n c ể ti ú thể ửd c ghi nh n theo th i gian thự ns chuyể ể kể c ng c ểt ể cho th ph nh c ú ự ò y ò ự l ể 1910 ữ -mode - ự “ ể ể ỏ nh t hai v t ph n x “ ú ng ể õ ud TIEU LUAN MOI download : skknchat@gmail.com hiển th i d c tr ) ù ể ự Tuy ự ể ò ò ắ ể ể ể ỏ ắ ắ ự ể ù ể ò ữ -mode ể ể ữ ắ ù 1.2 ắ ự ự ữ ắ ể ự ắ ể – ẫ ò ỏ ễ E ắ - ắ – ắ ắ “ ể ữ ự ữ ù ự [9-11] ể ù ự ể ù TIEU LUAN MOI download : skknchat@gmail.com MHz) Tr ù ú ú ù ắ ắ ắ ú ể ể ) ò nội suy kết hợp với xấp xỉ Born nh m lu ể xu u ch p n ù ắ ong b -23] i nhữ l p t 1.3 ò ắ ữ (Distorted born iterative method) ể ù ữ ữ TIEU LUAN MOI download : skknchat@gmail.com 4.13 (N1 = 11, N = 22) 4.14 (N1 = 11, N = 22) , 4.15 ỏ – é – ò é ỏ é 33 TIEU LUAN MOI download : skknchat@gmail.com 4.15 - - (N = 22) – ò – 20% so v ộ ế ợ 9: ỏ : = 1MHz N1 = 17, x = 1, N2 = 34 N = 34 ù = 5*lamda 1% 5% Gaussian noise (SNR = 26 dB)Detector = 34, Transmiter = 64 (N=34) 34 TIEU LUAN MOI download : skknchat@gmail.com 4.8: (N = 34) Iter err 0.5056 0.2421 0.1641 0.1411 688 giây 4.9: - (N1 = 17, N2 = 34) Iter err 0.2744 0.1531 0.0854 57.4 giây 4.17 4.19 4.17 (N1 = 17, N = 34) 35 TIEU LUAN MOI download : skknchat@gmail.com 4.18 (N1 = 17, N = 34) 4.19 (N1 = 17, N = 34) , 4.20 – ỏ en é ỏ ỏ é – ò é 36 TIEU LUAN MOI download : skknchat@gmail.com 4.20 (N = 34) 10: ỏ : = 1MHz N1 = 20, x = 1, N2 = 40 N = 40 ù = 5*lamda 1% 5% Gaussian noise (SNR = 26 dB) Detector = 40, Transmiter = 80 (N = 40) : (N = 40) Iter err 0.5498 0.2300 0.1616 0.1405 1730 giây 37 TIEU LUAN MOI download : skknchat@gmail.com : - (N1 = 20, N2 = 40) Iter err 0.2044 0.1260 0.0860 1379 giây 4.23 h 4.24 4.22 (N1 = 20, N = 40) 38 TIEU LUAN MOI download : skknchat@gmail.com 4.23 (N1 = 20, N = 40) 4.24 (N1 = 20, N = 40) ồ 4.25 ỏ – é – ỏ ò é ỏ é 39 TIEU LUAN MOI download : skknchat@gmail.com 4.25 (N = 40) : i g g y ig 4.12: T N 20 22 24 26 28 30 Err1 0.1059 0.1004 0.1015 0.1321 0.1340 0.1470 Err2 0.0346 0.0475 0.0180 0.0336 0.0319 0.0467 E E - 40 TIEU LUAN MOI download : skknchat@gmail.com i 4.13: T N 20 22 24 26 28 30 Err1 0.1779 0.1778 0.1461 0.1792 0.1493 0.1673 Err2 0.0534 0.0779 0.0347 0.0710 0.0597 0.1217 41 TIEU LUAN MOI download : skknchat@gmail.com y i g g i g g g y y g i g i g g 4.2 g g y ig 4.14: T N 20 22 24 26 28 30 T1 46.16 71.68 113.87 178.12 264.18 390.23 T2 36.12 57.35 89.50 139.21 211.47 301.07 10.04 14.33 23.67 38.91 52.71 89.16 21.75% 20% 20.79% 21.84% 19.95% 22.85% – – ể ễ 4.29 4.28: 42 TIEU LUAN MOI download : skknchat@gmail.com 4.29 i 4.15: T N 20 22 24 26 28 30 T1 75.24 124.23 194.00 291.38 435.25 620.29 T2 66.46 105.47 164.89 249.68 370.34 525.68 8.78 18.76 29.11 41.7 64.91 91.64 11.67% 15.10% 15.01% 14.31% 14.91% 14.77% ể ễ ể 4.31 43 TIEU LUAN MOI download : skknchat@gmail.com 4.30 4.31 ữ 20-23% - 44 TIEU LUAN MOI download : skknchat@gmail.com ắ ữ ể ể é ù 3, Win7 – 64 bits, ram 4gb ĩ ể ể ực y – ữ ự ữ 45 TIEU LUAN MOI download : skknchat@gmail.com ự F W “F damentals of digital ultrasonic processing, EEE 217, July 1984 pp 195– “ EEE no 4, pp 484–495, April 1979 [3] G S Kino, Acoustic Waves: Devices, Imaging, and Analog Signal Processing Englewood Cliffs, NJ: Prentice Hall, 1987 Z levels: Part I Ferroelectrics, and “W sidelobe EEE Transac-tions on Ultrasonics, Contr ol, vol 40, no 6, pp 747–753, November 1993 [5] N Duric, P Littrup, A Babkin, D Chambers, S Azevedo, A Kalinin, R.Pevzner, M Tokarev, E Holsapple, O Rama, tomography for breast 5, pp 1375–1386, May 2005 “ “ ment of ultrasound using transmission ultra-sound: Reconstructing tissue parameters o in International Conference on BioMedical Engineering and Informatics, vol 2, 2008, pp 708–712 [7] J.-W Jeong, T.-S Kim, D C Shin, S Do, M Singh, and V Z Marmarelis, “ tissue differentiation using multiband signatures of high resolution ul-trasonic transmiss 399–408, March 2005 EEE ransactions on Medical Imaging, vol 24, no 3, pp [8] S A Johnson, T Abbott, R Bell, M Berggren, D Borup, D Robinson, J Wiskin, “ tissue charac-terization using ultrasound speed and atten vol 28, 2007, pp 147–154 [9] J Greenleaf, J Ylitalo, and J Gisvold, “ for EEE E ine and Biology Mag-azine, vol.6, no 4, pp 27–32, December 1987 [10] M P Andre, H S Janee, P J Martin, G P Otto, B A Spivey , and D.A “ -speed data acquisition in a diffraction tomography sys-tem employing largenternational Journal of Imaging Systems and Technology, vol 8, no 1, pp 137–147, 1997 [11] J Wiskin, D Borup, S Johnson, M Berggren, T Abbott, and R Hanover, “F wave, non2007, pp.183– 194 46 TIEU LUAN MOI download : skknchat@gmail.com [12] R J Lavarello and M L Oelze: Tomographic Reconstruction of ThreeDimensional Volumes Using the Distorted Born Iterative Method IEEE Transactions on Medical Imaging, 28, 2009, pp 1643-1653 [13] Lavarello Robert: New Developments on Quantitative Imaging Using Ultrasonic Waves University of Illinois at Urbana-Champaign, 2009 [14] http://en.wikipedia.org/wiki/Nonlinear_conjugate_gradient_method [15] M T Heath, Scientific Computing: An Introductory Survey New York, NY: McGraw-Hill, 2002 [16] Lavarello R, Oelze M (2008) A study on the reconstruction of moderate contrast targets using the distorted Born iterative method IEEE Transaction of Ultrasonic, Ferroelectric, and Control 55:112-124 [17] Devaney AJ (1982) Inversion formula for inverse scattering within the Born approximation Optics Letters 7:111-112 [18] http://tech-algorithm.com/articles/nearest-neighbor-image-scaling/ [19] Martin, R., Noise power spectral density estimation based on optimal smoothing and minimum statistics, IEEE Transactions on Speech and Audio Processing, Vol 9, 2001, pp 504 - 512 [20] Tran Duc Tan, N Linh-Trung, M L Oelze, M N Do, Application of L1 regularization for high-quality reconstruction of ultrasound tomography, International Federation for Medical and Biological Engineering (IFMBE), NXB SPRINGER, ISSN: 1680-0737, Volume 40, 2013, pp 309-312 [21] Tran Duc Tan, Nguyen Linh-Trung, Minh N Do, Modified Distorted Born Iterative Method for Ultrasound Tomography by Random Sampling, The 12th International Symposium on Communications and Information Technologies (ISCIT 2012), Australia, 2012, pp 1065-1068 [22] Tran Duc Tan, Automated Regularization Parameter Selection in Born Iterative Method for Ultrasound Tomography, Vietnam Conference on Control and Automation (VCCA-2011), ISBN 978-604-911-020-7, 2011, pp.786-791 [23] Tran Duc Tan, Gian Quoc Anh, Improvement of Distorted Born Iterative Method for Reconstructing of Sound Speed, Vietnam Conference on Control and Automation (VCCA-2011), ISBN 978-604-911-020-7, 2011, pp.798-803 47 TIEU LUAN MOI download : skknchat@gmail.com ...ĐẠI HỌC QUỐC GIA HÀ NỘI TRƯỜNG ĐẠI HỌC CÔNG NGHỆ Đ NG N NG C NG Ư NG CH T Ư NG NH CH I NG HƯ NG H N I NGÀNH C NG NGH ĐI N CHUYÊN NGÀNH HU C T – I N H NG ĐI N Ố: 60 52 70 N N THẠC NGƯỜI HƯ NG CÔNG... [9-11] ể ù ự ể ù TIEU LUAN MOI download : skknchat@gmail.com MHz) Tr ù ú ú ù ắ ắ ắ ú ể ể ) ò nội suy kết hợp với xấp xỉ Born nh m lu ể xu u ch p n ù ắ ong b -23] i nhữ l p t 1.3 ò ắ ữ (Distorted... 37 TIEU LUAN MOI download : skknchat@gmail.com : - (N1 = 20, N2 = 40) Iter err 0.2044 0.1 260 0.0 860 1379 giây 4.23 h 4.24 4.22 (N1 = 20, N = 40) 38 TIEU LUAN MOI download : skknchat@gmail.com