Patient-specific Cardio-respiratory Motion Prediction in X-ray Angiography using LSTM Networks.

Azizmohammadi, Fariba; Navarro Castellanos, Iñaki; Miró, Joaquim; Segars, Paul; Samei, Ehsan; Duong, Luc

Azizmohammadi, Fariba; Navarro Castellanos, Iñaki; Miró, Joaquim; Segars, Paul; Samei, Ehsan; Duong, Luc.

Afiliación

Azizmohammadi F; Interventional Imaging Lab, Department of software and IT engineering, École de Technologie Supérieure, 1100 Notre-Dame Street West, Montreal, Quebec, Canada H3C 1K3, Canada.
Navarro Castellanos I; Department of Pediatrics, CHU Sainte-Justine, Montreal, Canada H3T 1C5, Canada.
Miró J; Department of Pediatrics, CHU Sainte-Justine, Montreal, Canada H3T 1C5, Canada.
Segars P; Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, NC, United States of America.
Samei E; Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, NC, United States of America.
Duong L; Interventional Imaging Lab, Department of software and IT engineering, École de Technologie Supérieure, 1100 Notre-Dame Street West, Montreal, Quebec, Canada H3C 1K3, Canada.

Phys Med Biol ; 68(2)2023 01 05.

Article en En | MEDLINE | ID: mdl-36595253

Asunto(s)

Angiografía; Corazón; Humanos; Niño; Rayos X; Corazón/diagnóstico por imagen; Movimiento (Física)

Palabras clave

LSTM model; X-ray angiography; cardiac motion; cardio-respiratory motion prediction; motion tracking; respiratory motion

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Angiografía / Corazón Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: Phys Med Biol Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido

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