A Preliminary Study of High-Field MRI Image Enhancement Techniques Applied to Low-Field MR Brain Images

Low-field Magnetic Resonance Imaging (MRI) is vital for sensitive surgery to allow real-time imaging in the operation theatre. In this paper, a short literature research on enhancing high-field MR brain images is presented. With the research, we demonstrate implementations of the algorithms in the literature on low-field MR brain images. A major concern in enhancing low-field MR brain images is the poor quality images secondary to a worsening signal-to-noise ratio (SNR) compared with the high-field MRI scanners. This paper gives some useful insight on the pros and cons of applying high-field MR image enhancement techniques on low-field MR brain images.

[1]  Manuel Graña,et al.  A parametric gradient descent MRI intensity inhomogeneity correction algorithm , 2007, Pattern Recognit. Lett..

[2]  Chao Chen,et al.  Statistical morphological skull stripping of adult and infant MRI data , 2007, Comput. Biol. Medicine.

[3]  Guang H. Yue,et al.  Automated Histogram-Based Brain Segmentation in T1-Weighted Three-Dimensional Magnetic Resonance Head Images , 2002, NeuroImage.

[4]  Iván R. Terol-Villalobos,et al.  Morphological contrast measure and contrast enhancement: One application to the segmentation of brain MRI , 2007, Signal Process..

[5]  Mohammed Yakoob Siyal,et al.  An intelligent modified fuzzy c-means based algorithm for bias estimation and segmentation of brain MRI , 2005, Pattern Recognit. Lett..

[6]  M. Ibrahim,et al.  Hidden Markov models-based 3D MRI brain segmentation , 2006, Image Vis. Comput..

[7]  Atul Bansal,et al.  Simulation of Image Enhancement Techniques Using Matlab , 2007, First Asia International Conference on Modelling & Simulation (AMS'07).

[8]  Anil K. Jain,et al.  Adaptive flow orientation-based feature extraction in fingerprint images , 1995, Pattern Recognit..

[9]  Catherine Garbay,et al.  Distributed Markovian segmentation: Application to MR brain scans , 2007, Pattern Recognit..

[10]  N. Savage A weaker, Cheaper MRI , 2008, IEEE Spectrum.

[11]  E. M. Stokely,et al.  3-D segmentation of MR brain images using seeded region growing , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Lawrence O. Hall,et al.  Sequence tolerant segmentation system of brain MRI , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[13]  Dinggang Shen,et al.  Image registration by local histogram matching , 2007, Pattern Recognit..

[14]  Mohamed Roushdy Comparative Study of Edge Detection Algorithms Applying on the Grayscale Noisy Image Using Morphological Filter , 2006 .

[15]  Bostjan Likar,et al.  A Review of Methods for Correction of Intensity Inhomogeneity in MRI , 2007, IEEE Transactions on Medical Imaging.

[16]  Manuel Graña,et al.  A Gradient Descent MRI Illumination Correction Algorithm , 2005, IWANN.