An iterative tomosynthesis reconstruction using total variation combined with non-local means filtering
نویسندگان
چکیده
منابع مشابه
An iterative tomosynthesis reconstruction using total variation combined with non-local means filtering
BACKGROUND After the release of compressed sensing (CS) theory, reconstruction algorithms from sparse and incomplete data have shown great improvements in diminishing artifacts of missing data. Following this progress, both local and non-local regularization induced iterative reconstructions have been actively used in limited view angle imaging problems. METHODS In this study, a 3D iterative ...
متن کاملIterative total-variation reconstruction versus weighted filtered-backprojection reconstruction with edge-preserving filtering.
Iterative image reconstruction with the total-variation (TV) constraint has become an active research area in recent years, especially in x-ray CT and MRI. Based on Green's one-step-late algorithm, this paper develops a transmission noise weighted iterative algorithm with a TV prior. This paper compares the reconstructions from this iterative TV algorithm with reconstructions from our previousl...
متن کاملEnhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering
This paper proposes a novel method for document enhancement which combines two recent powerful noise-reduction steps. The first step is based on the total variation framework. It flattens background grey-levels and produces an intermediate image where background noise is considerably reduced. This image is used as a mask to produce an image with a cleaner background while keeping character deta...
متن کاملIterative Breast Tomosynthesis Image Reconstruction
In digital tomosynthesis imaging, multiple projections of an object are obtained along a small range of di↵erent incident angles in order to reconstruct a pseudo-3D representation of the object. In this paper we discuss a mathematical model for polyenergetic digital breast to-mosynthesis image reconstruction that explicitly takes into account various materials composing the object and the polye...
متن کاملNovel Non-local Total Variation Regularization for Constrained Mr Reconstruction
NOVEL NON-LOCAL TOTAL VARIATION REGULARIZATION FOR CONSTRAINED MR RECONSTRUCTION Andres Saucedo, Stamatios Lefkimmiatis, Stanley Osher, and Kyunghyun Sung Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States, Biomedical Physics Interdepartmental Graduate Program, University of California Los Angeles, L...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BioMedical Engineering OnLine
سال: 2014
ISSN: 1475-925X
DOI: 10.1186/1475-925x-13-65