Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.

Ghadimi, Sona; Auger, Daniel A; Feng, Xue; Sun, Changyu; Meyer, Craig H; Bilchick, Kenneth C; Cao, Jie Jane; Scott, Andrew D; Oshinski, John N; Ennis, Daniel B; Epstein, Frederick H

Ghadimi, Sona; Auger, Daniel A; Feng, Xue; Sun, Changyu; Meyer, Craig H; Bilchick, Kenneth C; Cao, Jie Jane; Scott, Andrew D; Oshinski, John N; Ennis, Daniel B; Epstein, Frederick H.

Afiliación

Ghadimi S; Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
Auger DA; Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
Feng X; Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
Sun C; Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
Meyer CH; Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
Bilchick KC; Department of Medicine, University of Virginia Health System, Charlottesville, VA, USA.
Cao JJ; Department of Cardiology, St. Francis Hospital, New York, NY, USA.
Scott AD; Cardiovascular Magnetic Resonance Unit, The Royal Brompton Hospital, London, United Kingdom.
Oshinski JN; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Ennis DB; Department of Radiology, Stanford University, Stanford, CA, USA.
Epstein FH; Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA. fhe6b@virginia.edu.

J Cardiovasc Magn Reson ; 23(1): 20, 2021 03 11.

Article en En | MEDLINE | ID: mdl-33691739

Asunto(s)

Aprendizaje Profundo; Cardiopatías/diagnóstico por imagen; Interpretación de Imagen Asistida por Computador; Imagen por Resonancia Cinemagnética; Función Ventricular Izquierda; Función Ventricular Derecha; Automatización; Estudios de Casos y Controles; Cardiopatías/fisiopatología; Humanos; Londres; Valor Predictivo de las Pruebas; Estados Unidos

Palabras clave

Cardiac MRI; DENSE; Deep learning; Global strain; Heart; Machine learning; Phase unwrapping; Segmental strain; Strain analysis

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Función Ventricular Izquierda / Función Ventricular Derecha / Imagen por Resonancia Cinemagnética / Aprendizaje Profundo / Cardiopatías Tipo de estudio: Clinical_trials / Guideline / Observational_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte / Europa Idioma: En Revista: J Cardiovasc Magn Reson Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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