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Descripción

Segmentation of Multiple Sclerosis (MS) lesions is a crucial part of MS diagnosis and therapy. Segmentation of lesions is usually performed manually, exposing this process to human errors. Thus, exploiting automatic and semi-automatic methods is of interest. In this paper, a new method is proposed to segment MS lesions from multichannel MRI data (T1-W and T2-W). For this purpose, statistical features of spatial domain and wavelet coefficients of frequency domain are extracted for each pixel of skull-stripped images to form a feature vector. An unsupervised clustering algorithm is applied to group pixels and extracts lesions. Experimental results demonstrate that the proposed method is better than other state of art and contemporary methods of segmentation in terms of Dice metric, specificity, false-positive-rate, and Jaccard metric.

Pertenece a

Applied Medical Informatics  

Autor(es)

AKBARPOUR, Tannaz -  Sahand University of Technology -  SHAMSI, Mousa -  DANESHVAR, Sabalan -  Electrical and computer engineering faculty, Tabriz University -  POOREISA, Masoud -  medicine faculty, Tabriz University of Medical science - 

Id.: 71373938

Idioma: eng  - 

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Palabras claveMultiple sclerosis -  Segmentation -  Multichannel Magnetic Resonance Imaging (MRI) -  Wavelet -  Energy -  Entropy - 

Tipo de recurso: info:eu-repo/semantics/article  -  info:eu-repo/semantics/publishedVersion  -  Peer-reviewed Article  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Copyright (c) 2018 Applied Medical Informatics

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] Applied Medical Informatics; Vol 39, No 1-2 (2017); 30-40
[IsBasedOn] 2067-7855
[References] http://ami.info.umfcluj.ro/index.php/AMI/article/view/619/pdf_56
[References] http://ami.info.umfcluj.ro/index.php/AMI/article/downloadSuppFile/619/251

Fecha de contribución: 05-jun-2018

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