This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magnetic Resonance Imaging (MRI). This artifact produces illumination variations due to magnetic field fluctuations of the device. In the latest years many works have been devoted to face this problem. In this work we present the 3D version of a new approach to bias correction, which is called Exponential Entropy Driven Homomorphic Unsharp Masking (E2D-HUM). This technique has been already presented by some of the authors for the 2D case only. The description of the whole method is detailed, and some experimental results are reported
Background and purpose: Magnetic resonance imaging (MRI) plays an important role in the field of MR-...
Magnetic Resonance Imaging, MRI, is one of the most powerful and harmless ways to study human inner ...
[[abstract]]In this paper, we propose a dual image approach to correcting intensity inhomogeneities ...
This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magne...
RF-Inhomogeneity correction is a relevant research topic in the \ufb01eld of Magnetic Resonance Ima...
In this paper a bias correction algorithm for Magnetic Resonance Imaging (MRI) is presented. The Mag...
RF-Inhomogeneity Correction (aka bias) artifact is an important re- search field in Magnetic Resonan...
This paper presents an improvement to the exponential entropy driven-homomorphic unsharp masking (E2...
Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical fi...
Objective. An important artifact corrupting Magnetic Resonance Images is the rf inhomogeneity, also ...
Bias artifact corrupts magnetic resonance images in such a way that the image is afflicted by illumi...
A very important artifact corrupting magnetic resonance images is the RF inhomogeneity. This kind of...
We present a compressed sensing based approach to remove gain field from magnetic resonance (MR) ima...
We present a compressed sensing based approach to re-move gain field from magnetic resonance (MR) im...
We propose a model-based method for fully automated bias field correction of MR brain images. The MR...
Background and purpose: Magnetic resonance imaging (MRI) plays an important role in the field of MR-...
Magnetic Resonance Imaging, MRI, is one of the most powerful and harmless ways to study human inner ...
[[abstract]]In this paper, we propose a dual image approach to correcting intensity inhomogeneities ...
This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magne...
RF-Inhomogeneity correction is a relevant research topic in the \ufb01eld of Magnetic Resonance Ima...
In this paper a bias correction algorithm for Magnetic Resonance Imaging (MRI) is presented. The Mag...
RF-Inhomogeneity Correction (aka bias) artifact is an important re- search field in Magnetic Resonan...
This paper presents an improvement to the exponential entropy driven-homomorphic unsharp masking (E2...
Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical fi...
Objective. An important artifact corrupting Magnetic Resonance Images is the rf inhomogeneity, also ...
Bias artifact corrupts magnetic resonance images in such a way that the image is afflicted by illumi...
A very important artifact corrupting magnetic resonance images is the RF inhomogeneity. This kind of...
We present a compressed sensing based approach to remove gain field from magnetic resonance (MR) ima...
We present a compressed sensing based approach to re-move gain field from magnetic resonance (MR) im...
We propose a model-based method for fully automated bias field correction of MR brain images. The MR...
Background and purpose: Magnetic resonance imaging (MRI) plays an important role in the field of MR-...
Magnetic Resonance Imaging, MRI, is one of the most powerful and harmless ways to study human inner ...
[[abstract]]In this paper, we propose a dual image approach to correcting intensity inhomogeneities ...