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.
|Titolo della pubblicazione ospite||Computer vision/computer graphics collaboration techniques|
|Numero di pagine||9|
|Stato di pubblicazione||Published - 2007|
|Nome||LECTURE NOTES IN COMPUTER SCIENCE|
- Theoretical Computer Science
- Computer Science(all)