Simultaneous segmentation and bias field estimation using local fitted images
نویسندگان
چکیده
منابع مشابه
Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images
Ultrasound (US) B-mode images often show intensity inhomogeneities caused by an ultrasonic beam attenuation within the body. Due to this artifact, the conventional segmentation approaches based on intensity or intensity-statistics often do not obtain accurate results. In this paper, Markov Random Fields (MRF) and a maximum a posteriori (MAP) framework in combination with US image spatial inform...
متن کاملAn Active Contour Model for the Segmentation of Images with Intensity Inhomogeneities and Bias Field Estimation
Intensity inhomogeneity causes many difficulties in image segmentation and the understanding of magnetic resonance (MR) images. Bias correction is an important method for addressing the intensity inhomogeneity of MR images before quantitative analysis. In this paper, a modified model is developed for segmenting images with intensity inhomogeneity and estimating the bias field simultaneously. In...
متن کاملBias Field Estimation and Adaptive Segmentation of MRI
In this paper, we present a novel algorithm for adap-tive fuzzy segmentation of MRI data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the RF coils or some problems associated with the acquisition sequences. The result is a slowly-varying shading artifact over the image that can produce errors with conventional...
متن کاملA RVR-based Method for Bias Field Estimation in Brain Magnetic Resonance Images Segmentation
This paper presents a relevance vector regression (RVR) based parametric approach to the bias field estimation in brain magnetic resonance (MR) image segmentation. Segmentation is a very important and challenging task in brain analysis, while the bias field existed in the images can significantly deteriorate the performance. Most of current parametric bias field correction techniques use a pre-...
متن کاملSegmentation of Brain MR Images with Bias Field Correction
We consider a statistical model-based approach to the segmentation of magnetic resonance (MR) images with bias field correction. The proposed method of penalized maximum likelihood is implemented via the expectationconditional maximization (ECM) algorithm, using an approximation to the E-step based on a fractional weight version of the iterated conditional modes (ICM) algorithm. A Markov random...
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: Pattern Recognition
سال: 2018
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2017.08.031