A new effective bias field correction model with TGV regularization

Author:

Bai Lufeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference46 articles.

1. MRI tissue classification and bias field estimation based on coherent local intensity clustering: a unified energy minimization framework;Li,2009

2. Estimating the bias field of MR images;Guillemaud;IEEE Trans. Med. Imaging,1997

3. Segmentation of longitudinal brain MR images using bias field correction embedded fuzzy c-means with non-locally spatio-temporal regularization;Feng;J. Vis. Commun. Image Represent.,2016

4. The l0 regularized Mumford–Shah model for bias field correction and segmentation of medical images;Duan;IEEE Trans. Image Process.,2015

5. A new variational method for bias correction and its applications to rodent brain extraction;Chang;IEEE Trans. Med. Imaging,2017

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