نتایج جستجو برای: spherical deconvolution
تعداد نتایج: 54852 فیلتر نتایج به سال:
Diffusion weighted (DW) MRI facilitates non-invasive quantification of tissue microstructure and, in combination with appropriate signal processing, three-dimensional estimates of fibrous orientation. In recent years, attention has shifted from the diffusion tensor model, which assumes a unimodal Gaussian diffusion displacement profile to recover fibre orientation (with various well-documented ...
For the purpose of the ISBI HARDI reconstruction challenge 2013 and for the categories DTI and HARDI acquisitions, we reconstructed the diffusion datasets using two well established methods: a) Spherical Deconvolution Transform (SDT) [1], [2] and b) Constrained Spherical Deconvolution (CSD) [3]. The SDT is a sharpening operation which transforms the smooth diffusion ODF into a sharper fiber ODF...
We adress the problem of spherical deconvolution in a non parametric statistical framework, where both the signal and the operator kernel are subject to error measurements. After a preliminary treatment of the kernel, we apply a thresholding procedure to the signal in a second generation wavelet basis. Under standard assumptions on the kernel, we study the theoritical performance of the resulti...
Atomic force microscope (AFM) images often contain distortions caused by the convolution of the tip and sample surface. The offered numerical deconvolution, with the use of an inverted tip located at a constant height from the surface, noticeably differs from methods previously published and is essentially simple for a concrete practical realization. Nanometer-sized spheres were successfully us...
1 Spherical deconvolution of multichannel diffusion MRI data with nonGaussian noise models and total variation spatial regularization Erick J. Canales-Rodríguez, Alessandro Daducci, Stamatios N. Sotiropoulos, Emmanuel Caruyer, Santiago Aja-Fernández, Joaquim Radua, Yosu Yurramendi Mendizabal, Yasser Iturria-Medina, Lester Melie-García, Yasser Alemán-Gómez, Jean-Philippe Thiran, Salvador Sarró, ...
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