Laser & Optoelectronics Progress, Volume. 56, Issue 20, 201007(2019)
Estimation of Intravoxel Fiber-Orientation Distribution via Non-Convex Regularized Spherical Deconvolution
Since the spherical-deconvolution (SD)-based intravoxel fiber-orientation distribution (FOD) estimation method is highly sensitive to noise, a non-convex regularized SD method is proposed. It constructs a non-convex spatial regularization based on the FOD similarity between neighboring voxels and resolves the non-convex regularized SD problem using the modified Richardson-Lucy algorithm. The simulated results based on data in two tensors model and HARDI (high-angular-resolution diffusion imaging) model show that, compared with the conventional SD and total-variation regularized SD methods, the proposed method generates FODs with a lower mean angular error (reduced by 52% and 9%, respectively) and exhibits better noise immunity and detail preservation of the fiber orientations.
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Chunyu Chu, Chunmei Liu. Estimation of Intravoxel Fiber-Orientation Distribution via Non-Convex Regularized Spherical Deconvolution[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201007
Category: Image Processing
Received: Apr. 1, 2019
Accepted: May. 28, 2019
Published Online: Oct. 22, 2019
The Author Email: Chu Chunyu (chuchunyu@bhu.edu.cn)