Comput Math Methods Med - Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors.

Tópicos

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Resumo

Current medical imaging systems provide excellent spatial resolution, high tissue contrast, and up to 65535 intensity levels. Thus, image processing techniques which aim to exploit the information contained in the images are necessary for using these images in computer-aided diagnosis (CAD) systems. Image segmentation may be defined as the process of parcelling the image to delimit different neuroanatomical tissues present on the brain. In this paper we propose a segmentation technique using 3D statistical features extracted from the volume image. In addition, the presented method is based on unsupervised vector quantization and fuzzy clustering techniques and does not use any a priori information. The resulting fuzzy segmentation method addresses the problem of partial volume effect (PVE) and has been assessed using real brain images from the Internet Brain Image Repository (IBSR).

Resumo Limpo

current medic imag system provid excel spatial resolut high tissu contrast intens level thus imag process techniqu aim exploit inform contain imag necessari use imag computeraid diagnosi cad system imag segment may defin process parcel imag delimit differ neuroanatom tissu present brain paper propos segment techniqu use d statist featur extract volum imag addit present method base unsupervis vector quantiz fuzzi cluster techniqu use priori inform result fuzzi segment method address problem partial volum effect pve assess use real brain imag internet brain imag repositori ibsr

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