Volume 9, Issue 2
An Efficient Image Simplification Algorithm for Brain MRI Segmentation Based on Downhill Filler

B. Zhang, H. Zhu & W. Zhang

Int. J. Numer. Anal. Mod., 9 (2012), pp. 378-384

Published online: 2012-09

Preview Purchase PDF 2 3144
Export citation
  • Abstract
Image simplification, which reduces the information content of an image to suppress undesired details such as noise, is a very important basic ingredient of a lot of practical applications. The simplification of human brain MRI (Magnetic Resonance Imaging) is one of essential pre-processing steps for medical researches and clinical applications. Usually, the process of image simplification requires multiple iterations of reconstruction. Therefore, the efficiency of the reconstruction algorithm is a key problem. This paper has proposed an efficient reconstruction algorithm for MRI brain image simplification based on downhill filter. The main contribution of this paper is to use the regional maxima concept to modify the initialization condition of downhill filter algorithm. Experimental results show that the efficiency of this algorithm is much better than that of fast hybrid reconstruction algorithm, and it can achieve good result when it is used to the contour extraction from the MRI of human brain.
  • Keywords

MRI Human Brain Image Simplification Morphological Reconstruction and Downhill Filter

  • AMS Subject Headings

35R35 49J40 60G40

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{IJNAM-9-378, author = {B. Zhang, H. Zhu and W. Zhang}, title = {An Efficient Image Simplification Algorithm for Brain MRI Segmentation Based on Downhill Filler}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2012}, volume = {9}, number = {2}, pages = {378--384}, abstract = {Image simplification, which reduces the information content of an image to suppress undesired details such as noise, is a very important basic ingredient of a lot of practical applications. The simplification of human brain MRI (Magnetic Resonance Imaging) is one of essential pre-processing steps for medical researches and clinical applications. Usually, the process of image simplification requires multiple iterations of reconstruction. Therefore, the efficiency of the reconstruction algorithm is a key problem. This paper has proposed an efficient reconstruction algorithm for MRI brain image simplification based on downhill filter. The main contribution of this paper is to use the regional maxima concept to modify the initialization condition of downhill filter algorithm. Experimental results show that the efficiency of this algorithm is much better than that of fast hybrid reconstruction algorithm, and it can achieve good result when it is used to the contour extraction from the MRI of human brain.}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/635.html} }
TY - JOUR T1 - An Efficient Image Simplification Algorithm for Brain MRI Segmentation Based on Downhill Filler AU - B. Zhang, H. Zhu & W. Zhang JO - International Journal of Numerical Analysis and Modeling VL - 2 SP - 378 EP - 384 PY - 2012 DA - 2012/09 SN - 9 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/635.html KW - MRI KW - Human Brain Image Simplification KW - Morphological Reconstruction KW - and Downhill Filter AB - Image simplification, which reduces the information content of an image to suppress undesired details such as noise, is a very important basic ingredient of a lot of practical applications. The simplification of human brain MRI (Magnetic Resonance Imaging) is one of essential pre-processing steps for medical researches and clinical applications. Usually, the process of image simplification requires multiple iterations of reconstruction. Therefore, the efficiency of the reconstruction algorithm is a key problem. This paper has proposed an efficient reconstruction algorithm for MRI brain image simplification based on downhill filter. The main contribution of this paper is to use the regional maxima concept to modify the initialization condition of downhill filter algorithm. Experimental results show that the efficiency of this algorithm is much better than that of fast hybrid reconstruction algorithm, and it can achieve good result when it is used to the contour extraction from the MRI of human brain.
B. Zhang, H. Zhu & W. Zhang. (1970). An Efficient Image Simplification Algorithm for Brain MRI Segmentation Based on Downhill Filler. International Journal of Numerical Analysis and Modeling. 9 (2). 378-384. doi:
Copy to clipboard
The citation has been copied to your clipboard