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Self-gated cardiac cine imaging using phase information.
Seo, Hyunseok; Kim, Dongchan; Oh, Changheun; Park, HyunWook.
Afiliación
  • Seo H; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Kim D; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Oh C; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Park H; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Magn Reson Med ; 77(3): 1216-1222, 2017 03.
Article en En | MEDLINE | ID: mdl-27227811
PURPOSE: To obtain multiphase cardiac cine images with high resolution, a novel self-gating method for both cardiac and respiratory motions is proposed. METHODS: The proposed method uses the phase of projection data obtained from a separate axial slice to measure cardiac and respiratory motion, after the acquisition of every k-space line in the image plane. Cardiac motion is estimated from the phase of the projection data passing through the aorta, which is amplified by superior-inferior directional bipolar gradients, whereas respiratory motion is estimated from the phase of the left-right directional projection data of the abdomen. To verify the proposed self-gating method, a simulation and in vivo steady state free precession cardiac imaging were performed. RESULTS: The proposed method provides high resolution multiphase cardiac cine images. Using the proposed self-gating method, the phase variation of the projection data offers information about cardiac and respiratory motions that is equivalent to external gating devices. CONCLUSION: The proposed method can capture time-resolved cardiac and respiratory motion from the phase information of the projection data. Because the projection data is obtained from a separate gating slice, the self-gating signals are not affected by imaging planes. Magn Reson Med 77:1216-1222, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Imagen por Resonancia Cinemagnética / Técnicas de Imagen Sincronizada Cardíacas / Técnicas de Imagen Sincronizada Respiratorias Tipo de estudio: Diagnostic_studies / Evaluation_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen / Imagen por Resonancia Cinemagnética / Técnicas de Imagen Sincronizada Cardíacas / Técnicas de Imagen Sincronizada Respiratorias Tipo de estudio: Diagnostic_studies / Evaluation_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article