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Paper Information

Journal:   LASER IN MEDICINE   FALL 2009 , Volume 6 , Number 3 (33); Page(s) 12 To 18.
 
Paper: 

SEGMENTATION OF THE BIOLOGICAL RAT SPINAL CORD PHANTOM FROM DIFFUSION TENSOR MAGNETIC RESONANCE IMAGE WITH A NONPARAMETRIC STATISTICAL FRONT EVOLUTION METHOD

 
 
Author(s):  CHARMI MOSTAFA, MAHLOOJI FAR ALI*
 
* ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT, TARBIAT MODARES UNIVERSITY
 
Abstract: 
Introduction: The main problem of the most previous works on DTI segmentation is the parametric approach used for modeling tensor statistics in a region of interest which may not effectively model the tensor statistics in white-matter fiber bundles.
Material and Methods: In this work, we propose the Parzen density estimation with a Gaussian kernel to define region statistics in diffusion tensor images. This estimation is used to segment biological rat spinal cord phantom in a nonparametric statistical surface evolution algorithm framework.
Results: We demonstrate through numerical experiment that the statistical evolution surface with Euclidean distance derived from the non-parametric approach outperforms the evolution surface associated to the parametric case. In fact, both statistical modeling and metric are important to improve the quality of DTI segmentation results. Finally, it has shown that the most important element of kernel density estimation is the choice of the bandwidth
s.
Conclusion: We conclude that if the parametric statistical modeling does not end up in a specific application with desired segmentation results, despite high computation cost of nonparametric method, nonparametric method is a reasonable choice.
 
Keyword(s): DIFFUSION TENSOR IMAGE METRIC, PARZEN DENSITY ESTIMATION, NON PARAMETRIC STATISTICAL MODELING, SEGMENTATION
 
 
References: 
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Citations: 
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APA: Copy

CHARMI, M., & MAHLOOJI FAR, A. (2009). SEGMENTATION OF THE BIOLOGICAL RAT SPINAL CORD PHANTOM FROM DIFFUSION TENSOR MAGNETIC RESONANCE IMAGE WITH A NONPARAMETRIC STATISTICAL FRONT EVOLUTION METHOD. LASER IN MEDICINE, 6(3 (33)), 12-18. https://www.sid.ir/en/journal/ViewPaper.aspx?id=202478



Vancouver: Copy

CHARMI MOSTAFA, MAHLOOJI FAR ALI. SEGMENTATION OF THE BIOLOGICAL RAT SPINAL CORD PHANTOM FROM DIFFUSION TENSOR MAGNETIC RESONANCE IMAGE WITH A NONPARAMETRIC STATISTICAL FRONT EVOLUTION METHOD. LASER IN MEDICINE. 2009 [cited 2021November30];6(3 (33)):12-18. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=202478



IEEE: Copy

CHARMI, M., MAHLOOJI FAR, A., 2009. SEGMENTATION OF THE BIOLOGICAL RAT SPINAL CORD PHANTOM FROM DIFFUSION TENSOR MAGNETIC RESONANCE IMAGE WITH A NONPARAMETRIC STATISTICAL FRONT EVOLUTION METHOD. LASER IN MEDICINE, [online] 6(3 (33)), pp.12-18. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=202478.



 
 
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