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Non-invasive pressure difference estimation from PC-MRI using the work-energy equation.
Donati, Fabrizio; Figueroa, C Alberto; Smith, Nicolas P; Lamata, Pablo; Nordsletten, David A.
Afiliación
  • Donati F; King's College London, Department of Biomedical Engineering and Imaging Sciences, St. Thomas' Hospital, 4th floor Lambeth Wing, The Rayne Institute, London SE1 7EH, United Kingdom. Electronic address: fabrizio.donati@kcl.ac.uk.
  • Figueroa CA; University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Ann Arbor, MI 48105, United States. Electronic address: figueroc@med.umich.edu.
  • Smith NP; King's College London, Department of Biomedical Engineering and Imaging Sciences, St. Thomas' Hospital, 4th floor Lambeth Wing, The Rayne Institute, London SE1 7EH, United Kingdom; University of Auckland, Engineering School Block 1, Level 5, 20 Symonds St, Auckland 101, New Zealand. Electronic addre
  • Lamata P; King's College London, Department of Biomedical Engineering and Imaging Sciences, St. Thomas' Hospital, 4th floor Lambeth Wing, The Rayne Institute, London SE1 7EH, United Kingdom; University of Oxford, Department of Computer Science, Wolfson Building, Parks Road, Oxford OX1 3QD, United Kingdom. Ele
  • Nordsletten DA; King's College London, Department of Biomedical Engineering and Imaging Sciences, St. Thomas' Hospital, 4th floor Lambeth Wing, The Rayne Institute, London SE1 7EH, United Kingdom. Electronic address: david.nordsletten@gmail.com.
Med Image Anal ; 26(1): 159-72, 2015 Dec.
Article en En | MEDLINE | ID: mdl-26409245
Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aorta / Determinación de la Presión Sanguínea / Interpretación de Imagen Asistida por Computador / Angiografía por Resonancia Magnética / Presión Arterial / Modelos Cardiovasculares Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aorta / Determinación de la Presión Sanguínea / Interpretación de Imagen Asistida por Computador / Angiografía por Resonancia Magnética / Presión Arterial / Modelos Cardiovasculares Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2015 Tipo del documento: Article