nach oben

Erschienen in:

2015 | OriginalPaper | Buchkapitel

Restoration Algorithm for Gaussian Corrupted MRI Using Non-local Averaging

verfasst von : Aditya Srivastava, Vikrant Bhateja, Harshit Tiwari, S. C. Satapathy

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Magnetic Resonance Images (MRI) are known to be corrupted by the additive Gaussian noise during the acquisition process. The presence of this noise affects the diagnosis as it tends to alter image details and pixel intensities. Conventional iterative denoising approaches fail to preserve the details and structures during MRI restoration. This paper proposes a Non-Local Averaging based MRI denoising algorithm to facilitate preservation of the finer structures. The proposed algorithm computes the weighted average of the similar pixels of the image within the local window. Method noise has been used as a measure for detail preservation which corresponds to the difference between original and the restored image. Simulation trials are performed on the image at differing levels of Gaussian noise which are then justified by method noise analysis and performance evaluation factors such as Peak Signal-Noise Ratio (PSNR) and Structural Similarity (SSIM). The proposed algorithm has demonstrated good performance, both in terms of visual quality as well as values of performance parameter.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Pharmaco-Informatics: An Interaction Study of Herbal Compounds with Receptors Implicated in ADHD

Nächstes Kapitel Multi-objective Optimization Based Software Testing Using Kansei Quality Approach

Edelman, R., Warach, S.: Magnetic resonance imaging. N. Engl. J. Med. 5(3), 708–716 (1993)CrossRef

Shrivastava, A., Alankrita, Raj, A., Bhateja, V.: Combination of wavelet transform and morphological filtering for enhancement of magnetic resonance images. In: Proceedings of International Conferrence on Digital Information Processing and Communication (ICDIPC 2011) Part-I, CCIS-188, pp. 460–474. Ostrava, Czech Republic (2011)

Raj, A., Alankrita, Shrivastava, A., Bhateja, V.: Computer aided detection of brain tumor in MR images. Int. J. Eng. Tech. (IACSIT-IJET) 3, 523–532 (2011)

Jain, A., Singh, S., Bhateja, V.: A robust approach for denoising and enhancement of mammographic breast masses. Int. J. Conv. Comp. 1(1), 38–49 (2013)

Bhateja, V., Misra, M., Urooj, S., Lay-Ekuakille, A.: A robust polynomial filtering framework for mammographic image enhancement from biomedical sensors. IEEE Sens. J. 13(11), 4147–4156 (2013)CrossRef

Bhateja, V., Urooj, S., Pandey, A., Misra, M., Lay-Ekuakille, A.: A polynomial filtering model for enhancement of mammogram lesions. In: Proceedings of IEEE International Symposium on Medical Measurement Applications (MeMeA-2013), pp. 97–100. Gatineau, Quebec, Canada (2013)

Bhateja, V., Urooj, S., Pandey, A., Misra, M., Lay-Ekuakille, A.: Improvement of masses detection in digital mammograms employing non-linear filtering. In: Proceedings of (IEEE) International Multi-Conference on Automation, Computing, Control, Communication and Compressed Sensing (iMac4s-2013), vol. 119, pp. 406–408. Palai-Kottayam, Kerala, India (2013)

Gupta, A., Ganguly, A., Bhateja, V.: A noise robust edge detector for color images using hilbert transform. In: Proceedings of (IEEE) 3rd International Advance Computing Conference (IACC 2013), pp. 1207—1212. Ghaziabad, Uttar Pradesh, India (2013)

Pandey, A., Yadav, A., Bhateja, V.: Volterra filter design for edge enhancement of mammogram lesions. In: Proceedings of (IEEE) 3rd International Advance Computing Conference (IACC 2013), pp. 1219–1222. Ghaziabad, Uttar Pradesh, India (2013)

10.

Gupta, A., Ganguly, A., Bhateja, V.: A novel color edge detection technique using hilbert transform. In: Proceedings of (Springer) International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2012), vol. 199, pp. 725–732. Bhubaneswar, India (2012)

11.

Bhateja V., Devi S.: A Reconstruction Based Measure for Evaluation of Mammogram Edge-Maps. In: Proceedings of (Springer) International Conference on Frontiers in Intelligent Computing: Theory and Application (FICTA 2012) AISC, vol. 199, pp. 741–746. Bhubaneswar, India (2012)

12.

Siddhartha, Bhateja V.: A modified unsharp masking algorithm based on region segmentation for digital mammography. In: Proceedings of (IEEE) 4th International Conference on Electronics and Computer Technology (ICECT-2012) vol. 1, pp. 63–67. Kanyakumari, India (2012)

13.

Jain, A., Bhateja, V.: A versatile denoising method for images contaminated with gaussian noise. In: Proceedings of (ACM ICPS) CUBE International Information Technology Conference and Exhibition, pp. 65–68. Pune, India (2012)

14.

Jain, A., Bhateja, V.: A novel detection and removal scheme for denoising images corrupted with gaussian outliers. In: Proceedings of IEEE Students Conference on Engineering and Systems (SCES-2012), pp. 434–438. Allahabad, Uttar Pradesh, India (2012)

15.

Jain, A., Bhateja, V.: A novel image denoising algorithm for suppressing mixture of speckle and impulse noise in spatial domain. In: Proceedings of (IEEE) 3rd International Conference on Electronics and Computer Technology (ICECT-2011), vol. 3, pp. 207–211, Kanyakumari, India (2011)

16.

Krissian, K., Aja-Fernandez, S.: Noise driven anisotropic diffusion filtering of MRI. IEEE Tran. Image Proces. 18(10), 2265 (2009)

17.

Buades, A., Coll, B., Morel, J.: A review of image denoising algorithms, with a new one. Multiscale Model. Simul. 4(2), 490–530 (2005)MathSciNetCrossRefMATH

18.

Lindenbaum, M., Fischer, M., Bruckstein, A.: On gabor contribution to image enhancement. Pattern Recog. 27(1), 1–8 (1994)

19.

Wiener, N.: The Extrapolation, Interpolation and Smoothening of Stationary Time Series. Wiley, New York (1979)

20.

Bhateja, V., Verma, A., Rastogi, K., Malhotra, C., Satapathy, S.C.: Performance improvement of decision median filter for suppression of salt and pepper noise. In: Proceedings of (Springer) International Symposium on Signal Processing and Intelligent Recognition System (SIRS-2014), vol. 264, pp. 287–297. Trivandrum, Kerala, India (2014)

21.

Shukla, A.K., Verma, R.L., Alam, M., Bhateja, V.: Directional ordered statistics filtering for suppression of salt and pepper noise. In: Proceedings (IEEE) International Conference on Signal Processing and Integrated Networks (SPIN-2014), pp. 76–81. Noida, Uttar Pradesh, India (2014)

22.

Bhateja, V., Srivastava, A., Singh, G., Singh, S.: Speckle reduction in ultrasound images using an improved conductance function based on aniso. Diffusion, Proceedings of (IEEE) 2014 International Conference on Computing for Sustainable Global Development, pp. 619–624 (2014)

23.

Bhateja, V., Misra, M., Urooj, S., Lay-Ekuakille, A.: Bilateral despeckling filter in homogeneity domain for breast ultrasound images. In: Proceedings of 3rd (IEEE) International Conference on Advances in Computing, Communication and Information, pp. 1027–1032 (2014)

24.

Gerig, G., Kubler, O., Kikinis, R., Jolesz, F.: Nonlinear anisotropic filtering of MRI data. IEEE Trans. Med. Imag. 11(2), 221–232 (1992)CrossRef

25.

Perona P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)

26.

Sijbers, J., Den-Dekker, A., Van-Audekerke, J., Verhoye, M., Van-Dyck, D.: Estimation of noise in magnitude MR images. Mag. Reson. Imag. 16(1), 87–90 (1998)CrossRef

27.

Lysaker, M., Lundervold, A., Xue-Cheng, T.: Noise removal using fourth order partial differential equation with application to medical magnetic resonance images in space and time. IEEE Trans. Image Process. 12(12), 1579–1590 (2003)CrossRefMATH

28.

Samsonov, A., Johnson, C.: Noise adaptive nonlinear diffusion filtering of MR images with spatially varying noise levels. Mag. Reso. Imag. 52(4), 798–806 (2004)

29.

Efros, A., Leung, T.: Texture synthesis by non-parametric sampling. In: IEEE International Conference on Computer Vision, vol. 2, pp. 1033–1038 (1999)

30.

Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising. IEEE Trans. Comp. Vis. Pattern Recogn. 2, 60–65 (2005)

31.

Manjon, J., Caballero, J., Lull, J., Gracian, G., Marti-Bonmati, L., Robles, M.: MRI denoising using non-local means. Med. Image Anal. 12(4), 514–523 (2008)CrossRef

32.

Manjon, J., Coupe, P., Marti-Bonamti, L., Collins, D., Robles, M.: Adaptive non-local means denoising of MR images with spatially varying noise levels. Mag. Reson. Imag. 31(1), 192–203 (2010)CrossRef

33.

Manjon, J., Coupe, P., Buades, A., Collins, D., Robles, M.: New methods for MRI denoising based on sparseness and self-similarity. Med. Image Anal. 16(1), 18–27 (2012)CrossRef

34.

Sergio, C., Franchini, R., Massoptier, L., Casciaro, E., Conversano, F., Malvasi, A., Lay-Ekuakille, A.: Fully automatic segmentations of liver and hepatic tumors from 3-D computed tomography abdominal images: comparative evaluation of two automatic methods. IEEE Sens. J. 12(3), 464–473 (2012)CrossRef

35.

Francesco, C., Greco, A., Casciaro, E., Ragusa, A., Lay-Ekuakille, A., Casciaro, S.: “Harmonic ultrasound imaging of nanosized contrast agents for multimodal molecular diagnoses. IEEE Trans. Inst. Meas. 61(7), 1848–1856 (2012)CrossRef

36.

Sergio, C., Greco, A., Casciaro, E., Conversano, F., Lay-Ekuakille, A.: Nanocomposites for multimodal molecular imaging. Sensors 837–840 (2011)

37.

Gupta, P., Srivastava, P., Bharadwaj, S., Bhateja, V.: A modified PSNR metric based on HVS for quality assessment of color images. In: Proceedings of IEEE International Conference on Communication and Industrial Application, vol. 23, pp. 96–99 (2011)

38.

Bhateja, V., Srivastava, A., Kalsi, A.: Fast SSIM index for color images employing reduced-reference evaluation. In: Proceedings of (Springer) International Conference on Frontiers in Intelligent Computer Theory and Applications, vol. 247, pp. 451–458 (2013)

39.

Tristan-Vega, A., Garcia-Perez, V., Aja-Fernandez, S., Westin, C.: Efficient and robust nonlocal means denoising of MR data based on salient features matching. Comp. Meth. Prog. Biomed. 105(2), 131–144 (2012)CrossRef

Titel: Restoration Algorithm for Gaussian Corrupted MRI Using Non-local Averaging
verfasst von: Aditya Srivastava
Vikrant Bhateja
Harshit Tiwari
S. C. Satapathy
Verlag: Springer India
Buch: Information Systems Design and Intelligent Applications
Print ISBN: 978-81-322-2246-0

Electronic ISBN: 978-81-322-2247-7

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-81-322-2247-7_84

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner