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Segmentation Method for Magnetic Resonance-Guided High-Intensity Focused Ultrasound Therapy Planning.
Vargas-Olivares, A; Navarro-Hinojosa, O; Maqueo-Vicencio, M; Curiel, L; Alencastre-Miranda, M; Chong-Quero, J E.
Afiliação
  • Vargas-Olivares A; Tecnologico de Monterrey, Campus Estado de México, Atizapán de Zaragoza, MEX, Mexico.
  • Navarro-Hinojosa O; Tecnologico de Monterrey, Campus Santa Fe, Álvaro Obregón, Ciudad de México, Mexico.
  • Maqueo-Vicencio M; Tecnologico de Monterrey, Campus Santa Fe, Álvaro Obregón, Ciudad de México, Mexico.
  • Curiel L; Electrical Engineering Department, Lakehead University, Thunder Bay, ON, Canada.
  • Alencastre-Miranda M; Tecnologico de Monterrey, Campus Santa Fe, Álvaro Obregón, Ciudad de México, Mexico.
  • Chong-Quero JE; Tecnologico de Monterrey, Campus Estado de México, Atizapán de Zaragoza, MEX, Mexico.
J Healthc Eng ; 2017: 5703216, 2017.
Article em En | MEDLINE | ID: mdl-29065623
High-intensity focused ultrasound (HIFU) is a minimally invasive therapy modality in which ultrasound beams are concentrated at a focal region, producing a rise of temperature and selective ablation within the focal volume and leaving surrounding tissues intact. HIFU has been proposed for the safe ablation of both malignant and benign tissues and as an agent for drug delivery. Magnetic resonance imaging (MRI) has been proposed as guidance and monitoring method for the therapy. The identification of regions of interest is a crucial procedure in HIFU therapy planning. This procedure is performed in the MR images. The purpose of the present research work is to implement a time-efficient and functional segmentation scheme, based on the watershed segmentation algorithm, for the MR images used for the HIFU therapy planning. The achievement of a segmentation process with functional results is feasible, but preliminary image processing steps are required in order to define the markers for the segmentation algorithm. Moreover, the segmentation scheme is applied in parallel to an MR image data set through the use of a thread pool, achieving a near real-time execution and making a contribution to solve the time-consuming problem of the HIFU therapy planning.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imagem por Ressonância Magnética Intervencionista / Ablação por Ultrassom Focalizado de Alta Intensidade Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: J Healthc Eng Ano de publicação: 2017 Tipo de documento: Article País de afiliação: México País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imagem por Ressonância Magnética Intervencionista / Ablação por Ultrassom Focalizado de Alta Intensidade Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: J Healthc Eng Ano de publicação: 2017 Tipo de documento: Article País de afiliação: México País de publicação: Reino Unido