Brain Portion Extraction Using Hybrid Contour Technique Using Sets for T1 Weighted Mri of Human Head Scans
ثبت نشده
چکیده
Brain portion extraction from magnetic resonance image (MRI) of human head scan is an important process in medical image analysis. In this paper, we propose a computationally simple and a robust brain segmentation method. This method is based on forming a contour using the intensity values that satisfy a set property and detect the boundary of the brain. After detecting the brain boundary the brain portion is segmented. Experiments were conducted by applying the method on 3 volumes of T1 MRI data set collected from Internet Brain Segmentation Repository(IBSR) and compared the results with that of the popular skull stripping method Brain Extraction Tool (BET). The experimental results show that the proposed algorithm gives better results than that of BET.
منابع مشابه
Skull Stripping of Mri Head Scans Based on Chan-vese Active Contour Model
Whole brain segmentation referred as skull stripping, it is an important process in neuriomage analysis. Automatic segmentation of brain tissues from magnetic resonance images (MRI) remains a challenging task due to variation in shape and size, use of different pulse sequences, overlapping signal intensities and imaging artifacts. Level sets and active contour methods have tremendous potential ...
متن کاملSegmentation of brain from MRI head images using modified chan-vese active contour model
In this article, a new segmentation method to extract the brain from T1, T2 and PD-weighted Magnetic Resonance Image (MRI) of human head images based on Modified Chan-Vese (MCV) active contour model is proposed. This method first segment the brain in the middle slice of the brain volume. Then, the brain regions of the remaining slices are segmented using the extracted middle brain as a referenc...
متن کاملA novel Skull Stripping Method for T1 Coronal and T2 Axial Magnetic Resonance Images of Human Head Scans Based on Resonance Principle
In this paper we propose a novel method for skull stripping or brain extraction from T1 Coronal and T2 Axial Magnetic Resonance Images (MRI) of human head scans. Brain extraction is done by first detecting the boundary separating brain tissue and non-tissues. The pixel values at the bright boundary will be ≈ 255. This property is utilized to generate resonance behaviour at the boundary. We make...
متن کاملSkull Stripping from MRI of Head Scans based on 2D Region Growing
Skull stripping is a process of segmenting brain portion in MR brain images. It is an important image processing step in many neuroimage studies. In this paper, we propose a new skull stripping method for magnetic resonance image (MRI) of human head scans based on 2D region growing. This is a fully automatic method for segmenting the brain portion from T1, T2 and PD weighted MR images. The prop...
متن کاملAnatomical Landmark Based Registration of Contrast Enhanced T1-Weighted MR Images
In many problems involving multiple image analysis, an image registration step is required. One such problem appears in brain tumor imaging, where baseline and follow-up image volumes from a tumor patient are often to-be compared. Nature of the registration for a change detection problem in brain tumor growth analysis is usually rigid or affine. Contrast enhanced T1-weighted MR images are widel...
متن کامل