0 236

Cited 2 times in

Evaluation of bayesian tensor estimation using tensor coherence.

Authors
 Dae-Jin Kim  ;  In-Young Kim  ;  Seok-Oh Jeong  ;  Hae-Jeong Park 
Citation
 PHYSICS IN MEDICINE AND BIOLOGY, Vol.54(12) : 3785-3802, 2009 
Journal Title
PHYSICS IN MEDICINE AND BIOLOGY
ISSN
 0031-9155 
Issue Date
2009
MeSH
Algorithms* ; Artificial Intelligence* ; Bayes Theorem ; Brain/anatomy & histology* ; Humans ; Image Enhancement/methods ; Image Interpretation, Computer-Assisted/methods* ; Magnetic Resonance Imaging/methods* ; Nerve Fibers, Myelinated/ultrastructure* ; Pattern Recognition, Automated/methods* ; Reproducibility of Results ; Sensitivity and Specificity
Abstract
Fiber tractography, a unique and non-invasive method to estimate axonal fibers within white matter, constructs the putative streamlines from diffusion tensor MRI by interconnecting voxels according to the propagation direction defined by the diffusion tensor. This direction has uncertainties due to the properties of underlying fiber bundles, neighboring structures and image noise. Therefore, robust estimation of the diffusion direction is essential to reconstruct reliable fiber pathways. For this purpose, we propose a tensor estimation method using a Bayesian framework, which includes an a priori probability distribution based on tensor coherence indices, to utilize both the neighborhood direction information and the inertia moment as regularization terms. The reliability of the proposed tensor estimation was evaluated using Monte Carlo simulations in terms of accuracy and precision with four synthetic tensor fields at various SNRs and in vivo human data of brain and calf muscle. Proposed Bayesian estimation demonstrated the relative robustness to noise and the higher reliability compared to the simple tensor regression
Full Text
http://iopscience.iop.org/0031-9155/54/12/012/
DOI
10.1088/0031-9155/54/12/012
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
Yonsei Authors
Park, Hae Jeong(박해정) ORCID logo https://orcid.org/0000-0002-4633-0756
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/104280
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links