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Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model.
Nag, Manas Kumar; Koley, Subhranil; China, Debarghya; Sadhu, Anup Kumar; Balaji, Ravikanth; Ghosh, Siddharth; Chakraborty, Chandan.
Afiliación
  • Nag MK; School of Medical Science and Technology, IIT Kharagpur, Kharagpur, WB, 721302, India.
  • Koley S; School of Medical Science and Technology, IIT Kharagpur, Kharagpur, WB, 721302, India.
  • China D; Advanced Technology Development Centre, IIT Kharagpur, Kharagpur, WB, 721302, India.
  • Sadhu AK; EKO CT and MRI Scan Centre, Medical College and Hospitals Campus, Kolkata, WB, 700082, India.
  • Balaji R; Apollo Multispecialty Hospital, Chennai, TN, 600035, India.
  • Ghosh S; Apollo Multispecialty Hospital, Chennai, TN, 600035, India.
  • Chakraborty C; School of Medical Science and Technology, IIT Kharagpur, Kharagpur, WB, 721302, India. chandanc@smst.iitkgp.ernet.in.
Int J Comput Assist Radiol Surg ; 12(4): 539-552, 2017 Apr.
Article en En | MEDLINE | ID: mdl-28070776
PURPOSE: Diffusion-weighted imaging (DWI) is a widely used medical imaging modality for diagnosis and monitoring of cerebral stroke. The identification of exact location of stroke lesion helps in perceiving its characteristics, an essential part of diagnosis and treatment planning. This task is challenging due to the typical shape of the stroke lesion. This paper proposes an efficient method for computer-aided delineation of stroke lesions from DWI images. METHOD: Proposed methodology comprises of three steps. At the initial step, image contrast has been improved by applying fuzzy intensifier leading to the better visual quality of the stroke lesion. In the following step, a two-class (stroke lesion area vs. non-stroke lesion area) segmentation technique based on Gaussian mixture model has been designed for the localization of stroke lesion. To eliminate the artifacts which would appear during segmentation process, a binary morphological post-processing through area operator has been defined for exact delineation of the lesion area. RESULT: The performance of the proposed methodology has been compared with the manually delineated images (ground truth) obtained from different experts, individually. Quantitative evaluation with respect to various performance measures (such as dice coefficient, Jaccard score, and correlation coefficient) shows the efficient performance of the proposed technique.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Accidente Cerebrovascular / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: India Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Accidente Cerebrovascular / Imagen de Difusión por Resonancia Magnética Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: India Pais de publicación: Alemania