Brain image enhancement -A survey

World Applied Sciences Journal

Volumn 17, Issue 9, 2012, Pages 1192-1204

  Yasmin, Mussarat ^a   Sharif, Muhammad ^a   Masood, Saleha ^a   Raza, Mudassar ^a   Mohsin, Sajjad ^a  

^a Department of Computer Science   (Pakistan)

Author keywords

Analysis; Brain; Diseases; Image; Medical imaging; Methods; Precision

Indexed keywords

EID: 84861946885     PISSN: 18184952     EISSN: 19916426     Source Type: Journal    
DOI: None     Document Type: Article

References (57)

1. Guowei Yang, Xiao Yu and Xiaodong Zhuang, 2008. The Current Status and Development of Pattern Recognition Diagnostic Methods Based on Medical Imaging, Networking, Sensing and Control, 2008. ICNSC 2008 IEEE International Conference On, pp: 567-572, 6-8 April 2008. 11.
2. Loew, M.H., 1995. Quantitative methods in medical imaging, Computer-Based Medical Systems, 1995. Proceedings of the Eighth IEEE Symposium On, pp: 258, 9-10 Jun 1995.
3. Xiangzhi Bai, Fugen Zhou and Bindang Xue, 2012. Image enhancement using multi scale image features extracted by top-hat transform, Optics and amp, Laser Technology, 44(2): 328-336, ISSN 0030-3992, 10.1016/j.optlastec.2011.07.009.
4. Anas Dahabiah, John Puentes and Basel Solaiman, 2009. Imperfect pattern recognition using the fuzzy measure theory. In Proceedings of the 10th international conference on intelligent data engineering and automated learning (IDEAL'09), Emilio Corchado and Hujun Yin (Eds.) Springer-Verlag, Berlin, Heidelberg, pp: 101-108.
5. Filler, Aaron, 0000. The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI and DTI.
6. Demitri, M., 2007. Types of Brain Imaging Techniques Psych Central Retrieved on March 31, 2012.
7. Jeffrey A. Coffman and Charles F. Barfknecht, 1987. 4656026 Magnetic resonance (MR) image enhancement compounds for specific areas of the brain, Magnetic Resonance Imaging, 5(5), 1987, Page IV, ISSN 0730-725X, 10.1016/0730-725X(87)90145-7.
8. LIU Xing-Sheng, NIE Sheng-Dong and SUNXi-Wen, 2009. An Enhancement Method for Small Brain Metastases in T1w MRI, 2009 IEEE.
9. Jing-Hao Awe, Wilfried Philips, Alelcsandra Pizunca and Ignace Lemahieu, 2001. A Novel Method for Adaptive Enhancement and Unsupervised Segmentation of Mri Brain Image, ICASSP '01 Proceedings of the Acoustics, Speech and Signal Processing, 2001 on IEEE International Conference-Volume 03 IEEE Computer SocietyWashington, DC, USA©2001.
10. Jianzhong Wang, Jun Kong, Yinghua Lu, Miao Qi and Baoxue Zhang, 2008. A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints, Computerized Medical Imaging and Graphics, 32(8): 685-698, ISSN 0895-6111, 10.1016/j.compmedimag.2008.08.004.
11. Guang-Zhong Yang and D.M. Hansell, 1997. CT image enhancement with wavelet analysis for the detection of small airways disease, Medical Imaging, IEEE Transactions On, 16(6): 953-961, doi: 10.1109/42.650893
12. Jun Yin, Xiaolin Tian, Zesheng Tang and Yankui Sun, 2006. A Histogram-Based Fast Enhancement Algorithm for CT Head Images, Biomedical and Pharmaceutical Engineering, 2006. ICBPE 2006 International Conference on, pp: 39-43, 11-14 Dec. 2006.
13. Guodong Zhang, Peiyu Yan, Hong Zhao and Xin Zhang, 2008. A Contrast Enhancement Algorithm for Low-Dose CT Images Based on Local Histogram Equalization, Bioinformatics and Biomedical Engineering, ICBBE 2008 the 2nd International Conference On, pp: 2462-2465, 16-18 May 2008 doi: 10.1109/ICBBE.2008.948.
14. Yicong Zhou, K. Panetta and S. Agaian, 2010. 3D CT baggage image enhancement based on order statistic decomposition, Technologies for Homeland Security (HST), 2010 IEEE International Conference On, pp: 287-291, 8-10 Nov. 2010 doi: 10.1109/ THS.2010.5655042.
15. Wang Leil, Lu Ling, Chen Gong-Xin, Zhou Shu-Min and Jiang Nian-Del, 2008. The Multidirectional Enhancement of Medical Images Based on Wavelet Laid, Image and Signal Processing, 2008. CISP '08 Congress on, 3(s): 416-420.
16. Georgieva, V.M., 0000. An Approach for Computed Tomography Images Enhancement.
17. Nita Yuni Puji Astutik, Implementation of Ct Liver Image Enhancement from Ct Image Segmented Result.
18. Usman Akram, M., Aasia Khanum, Khalid Iqbal, 2010. An automated System for Liver CT Enhancement and Segmentation, 10(IV).
19. th Annual International Conference of the IEEE,4: 1413-1416, 06 August 2002.
20. Uma Numburi, George P. Chatzimavroudis, Arthur E. Uber, John P. Kalafut, Arthur E. Stillman, Richard D. White and Sandra S. Halliburton, 2005. Modeling of Contrast Enhancement for Cardiac Multi-Detector Row CT, IEEE IST 2005 International Workshop on Imaging Systems and Techniques Niagara Falls, Sheraton Hotel on the Falls, 13-14 May 2005
21. Yang Yu and Hong Zhao, 2006. A Texture-based Morphologic Enhancement Filter in Two-dimensional Thoracic CT scans, Networking, Sensing and Control, 2006. ICNSC '06 Proceedings of the 2006 IEEE International Conference, pp: 850-855.
22. Kehong Yuan, Fei Peng and Wufan Chen, 2009. BRAIN IMAGE PREPROCESSING AND APPLICATION, International Journal of Innovative Computing, Information and Control, 5(8).
23. Nur Faiza Ishak, Rajasvaran Logeswaran and Wooi-Haw Tan, 2008. Artifact and noise stripping on low-field brain MRI, International Journal of Biology and Biomedical Engineering, 2(II).
24. Ward, D.M., R.D. Jones, P.J. Bones and G.J. Carroll, 1998. Enhancement of epileptic form activity in the EEG by 3-D adaptive spatial filtering: simulations and real data, Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE, 4: 2116-2119. doi: 10.1109/IEMBS.1998.747026.
25. Ifeachor, E.G., M.T. Hellyar, D.J. Mapps and E.M. Alien, 1990. Knowledge-based enhancement of human EEG Signals, Ieee Proceedings, 137, Pi. F, No. 5.
26. th International Conference-IEEE/EMBS Oct. 30-Nov. 2, 1997. Chicago, IL USA.
27. Donna-Maree Ward, Richard D. Jones, Philip J. Bonesand Grant J. Carroll, 1999. Enhancement of Deep Epilepti form Activity in the EEG via 3-D Adaptive Spatial Filtering, Ieee Transactions on Biomedical Engineering, 46(6).
28. Stiliyan Kalitzin, Jaime Parra, Demetrios N. Velis and F.H. Lopesda Silva, 2002. Enhancement of Phase Clustering in the EEG/MEG Gamma Frequency Band Anticipates Transitions to Paroxysmal Epilepti form Activity in Epileptic Patients With Known Visual Sensitivity, Ieee Transactions on Biomedical Engineering, 49(11).
29. Cho, B.H., J.M. Lee, J.H. Ku, D.P. Jang, J.S. Kim, I.Y. Kim, J.H. Lee and S.I. Kim, 2002. Attention Enhancement System using Virtual Reality and EEG Biofeedback, Virtual Reality, 2002. Proceedings IEEE (2002), pp: 156-163.
30. Stiliyan Kalitzin, Jaime Parra, Demetrios N. Velis and F.H. Lopesda Silva, 2002. Enhancement of Phase Clustering in the EEG/MEG Gamma Frequency Band Anticipates Transitions to Paroxysmal Epilepti form Activity in Epileptic Patients With Known Visual Sensitivity, Ieee Transactions on Biomedical Engineering, 49(11).
31. Zeman, P.M., S.V. Mahajan, P.L. Sorensen and N.J. Livingston, 2007. Victoria Univ., Victoria, Biorthogonal 3.1 Wavelet Enhancement of Brain Activities, Electrical and Computer Engineering, 2007 CCECE 2007 Canadian Conference, pp: 1010-1013.
32. Christopher G. Thomas, Richard A. Harshman and Ravi S. Menon, 2002. Noise Reduction in BOLD-Based fMRI Using Component Analysis, Neuro Image, 17: 1521-1537, doi:10.1006/nimg.2002.1200.
33. Zheng-Hong Huang and Lia Xia, 2010. De noising and Enhancement of Magnetic Resonance Image Based on the Dyadic Wavelet Transform, Pattern Recognition (CCPR), 2010 Chinese Conference On, 1-4: 21-23, doi: 10.1109/CCPR.2010.5659241.
34. Seongwook Hong, Xuenan Cui, Shengzhe Li, Naw Chit Too June, Kyu-sung Kwack and Hakil Kim, 2010. Noise removal for multi-echo MR images using global enhancement, Systems Man and Cybernetics (SMC), 2010 IEEE International Conference On, pp: 3616-3621, doi: 10.1109/ICSMC.2010.5641752.
35. Cho, B.H., J.M. Lee, J.H. Ku, D.P. Jang, J.S. Kim, I.Y. Kim, J.H. Lee and S.I. Kim, 2002. Attention Enhancement System using virtual reality and EEG biofeedback, Virtual Reality, 2002. Proceedings IEEE, pp: 156-163, 2002 doi: 10.1109/VR.2002.996518.
36. Michael L. Wood and Val M. Runge, 1998. Application of image enhancement techniques to magnetic resonance imaging, 8(4) #{149} July, 1988 #{149} Radlo Graphics.
37. Bin Chen and Edward W. Hsu, 2005. Noise Removal in Magnetic Resonance Diffusion Tensor Imaging, Magnetic Resonance in Medicine", Magn Reson Med., 54(2): 393-401.
38. James D. Christensen, 2003. Normalization of brain magnetic resonance images using histogram even-order, Derivative Analysis, 21(7): 817-820.
39. Milindkumar V. Sarode and Prashant R. Deshmukh, 2011. Performance Evaluation of Noise Reduction Algorithm in Magnetic Resonance Images, IJCSI International Journal of Computer Science Issues, 8(2): 1694-0814.
40. Rajeesh, J., R.S. Moni, S. Palanikumar and T. Gopalakrishnan, 0000. Noise Reduction in Magnetic Resonance Images using Wave Atom Shrinkage, International Journal of Image Processing (IJIP), 4(2).
41. Samir Kumar Bandyopadhyay, 2011. Image Enhancement Technique Applied to Low-field MR Brain Images, international Journal of Computer Applications (0975-8887) 15(6).
42. Eyal Carmi, Siuyan Liu, Noga Alonl, Amos Fiat and Daniel Fiat, 2006. RESOLUTION ENHANCEMENT IN MRI", Magnetic Resonance Imaging, 24: 133-154.
43. Yan-Li Zhang, Wan-Yu Liu, I.E. Magnin and Yue-Min Zhu, 2010. Enhancement of human cardiac DT-MRI data using locally adaptive filtering, Signal Processing (ICSP), 2010 IEEE 10th International Conference On, pp: 744-747, 24-28 Oct. 2010 doi: 10.1109/ICOSP.2010.5655911.
44. April Khademi, Anastasios Venetsanopoulos, Alan R. Moody, 2010. Image Enhancement and Noise Suppression for FLAIR MRIs with White Matter 54. Lesions, Ieee Signal Processing Letters, 17(12).
45. Joshi, S.H., A. Marquina, S.J. Osher, I. Dinov, Van J.D. Horn and A.W Toga, 2009. Mri Resolution 55. Enhancement Using Total Variation Regularization, Biomedical Imaging: From Nano to Macro, 2009. ISBI '09 IEEE International Symposium, pp: 161-164.
46. Jing-Hao AWE, Wilfried Philips, Alelcsandra Pizunca and Ignace Lemahieu, 0000. A Novel Methodfor Adaptive Enhancement and Unsupervised Segmentation of Mri Brain Image 0-7803-7041-4/01/$10.00 02001 EEE.
47. Weisenfeld, N.I. and S.K. Warfield, 2002. Normalization of Joint Image-intensity Statistics in Mriusing the Kullback-leibler Divergence, Engineering in Medicine and Biology Society, 1997 Proceedings of the 19 th Annual International Conference of the IEEE, 4: 1413-1416.
48. Jing-Hao AWE, Wilfried PHILIPS, Alelcsandra Pizunca and Ignace Lemahieu, 2001. A Novel Method for Adaptive Enhancement and Unsupervised Segmentation of Mri Brain Image, ICASSP '01 Proceedings of the Acoustics, Speech and Signal Processing, 2001 on IEEE International Conference-Volume 03, 2001.
49. Weisenfeld, N.I. and S.K. Warfield, 2004. Normalization of Joint Image-intensity Statistics in Mri Using the Kullback-leibler Divergence, Paper Read at IEEE ISBI 2004.
50. Krzysztof Malczewski, 2008. MRI Image Enhancement by PROPELLER Data Fusion, Medical Measurements and Applications, 2008 MeMeA 2008 IEEE International Workshop.
51. Andrew Hill andrew Mehnert, Stuart Crozier Andrew Hill andrew Mehnert and Stuart Crozier, 2008. Edge intensity normalization as a bias field Correction duringballoon snake segmentation of breast MRI, Conf Proc IEEE Eng Med Biol Soc., pp: 3040-3.
52. Joshi, S.H., A. Marquina, S.J. Osher, Dinov, Ivan, Horn J.D. and A.W. Toga, 2009. Mri Resolution Enhancement Using Total Variation Regularization', Biomedical Imaging: From Nano to Macro, 2009. ISBI '09 IEEE International Symposium, 161-164.
53. Kjems, U., S.C. Strother, J. Anderson, I. Law and L.K. Hansen, 1999. Enhancing the multivariate signal of [/sup 15/O] water PET studies with a new nonlinear neuro anatomical registration algorithm [MRI application], Medical Imaging, IEEE Transactions On, 18(4): 306-319, doi: 10.1109/42.768840.
54. Federico E. Turkheimer, Nicolas Boussion, Alexander N. Anderson, Nicola Pavese, Paola Piccini, Dimitris Visvikis
55. Carmi, R., P. Maniawski, J. Suhy, D. Groshar, N.M. Unit, C.T. Philips Healthcare and Haifa, Israel, 2001. PET-CT Enhancement by Functional to Anatomical Image Adaptation Based on Correlated Nonlinear Diffusion, pp: 1827-1830.
56. Wilbur C.K. Wong and Albert C.S. Chung, 0000. A non-linear and non-iterative noise reduction technique for medical images: Concept and Methods Comparison.
57. Qian Wang, Liya Chen and Dinggang Shen, 2008. Fast histogram equalization for medical image enhancement, Engineering in Medicine and Biology Society, 2008. EMBS 2008 30th Annual International Conference of the IEEE, pp: 2217-2220, 20-25 Aug. 2008 doi: 10.1109/IEMBS.2008.4649636.