Automated computer classification (ACC) techniques are needed to facilitate physician's diagnosis of complex diseases in individual patients. We provide an example of ACC usin...
Simon Duchesne, A. Caroli, C. Geroldi, Christian B...
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Abstract Purpose: This paper presents the preliminary results of a semiautomatic method for prostate segmentation of Magnetic Resonance Images (MRI) which aims to be incorporated i...
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
Abstract. The proposed algorithm has been developed as a pre-processing tool for inflating cortical surface meshes, which have been created using segmentation and subsequent triang...
Recently, the authors introduced least square quantization table (LSQT) method to accelerate the direct Fourier transform to reconstruct magnetic resonance images acquired using a ...
Dong Liang, Edmund Y. Lam, George S. K. Fung, Xin ...
A number of problems frequently encountered in brain image analysis can be conveniently solved within a registration framework, such as alignment of mono- or multi-sequence Magnet...
This paper presents a method aimed to noise
removal in MRI (Magnetic Resonance Imaging). We
propose an improvement of Perona and Malik's
anisotropic diffusion filter. In ou...
We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm...
Kilian M. Pohl, John W. Fisher III, James J. Levit...
This work presents a new algorithm (NIC; Non-uniform Intensity Correction) for the correction of intensity inhomogeneities in magnetic resonance images. The algorithm has been val...
Juan D. Gispert, Santiago Reig, Javier Pascau, Rau...