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Sanz-Estébanez S, Cordero-Grande L, Sevilla T, Revilla-Orodea A, de Luis-García R, Martín-Fernández M, Alberola-López C. Vortical features for myocardial rotation assessment in hypertrophic cardiomyopathy using cardiac tagged magnetic resonance. Med Image Anal 2018; 47:191-202. [PMID: 29753999 DOI: 10.1016/j.media.2018.03.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 01/10/2018] [Accepted: 03/14/2018] [Indexed: 11/16/2022]
Abstract
Left ventricular rotational motion is a feature of normal and diseased cardiac function. However, classical torsion and twist measures rely on the definition of a rotational axis which may not exist. This paper reviews global and local rotation descriptors of myocardial motion and introduces new curl-based (vortical) features built from tensorial magnitudes, intended to provide better comprehension about fibrotic tissue characteristics mechanical properties. Fifty-six cardiomyopathy patients and twenty-two healthy volunteers have been studied using tagged magnetic resonance by means of harmonic phase analysis. Rotation descriptors are built, with no assumption about a regular geometrical model, from different approaches. The extracted vortical features have been tested by means of a sequential cardiomyopathy classification procedure; they have proven useful for the regional characterization of the left ventricular function by showing great separability not only between pathologic and healthy patients but also, and specifically, between heterogeneous phenotypes within cardiomyopathies.
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Affiliation(s)
- Santiago Sanz-Estébanez
- Laboratorio de Procesado de Imagen, Department of Teoría de la Señal y Comunicaciones e Ingeniería Telemática, ETSIT, Universidad de Valladolid, Campus Miguel Delibes s.n., Valladolid 40011, Spain. http://www.lpi.tel.uva.es/ssanest
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain and Department of Biomedical Engineering, Division of Imaging Science and Biomedical Engineering, King's College London, St Thomas' Hospital, London SE1 7EH, U.K.
| | - Teresa Sevilla
- Unidad de Imagen Cardiaca, Hospital Clínico Universitario de Valladolid, CIBER de enfermedades cardiovasculares (CIBERCV), Valladolid 47005, Spain
| | - Ana Revilla-Orodea
- Unidad de Imagen Cardiaca, Hospital Clínico Universitario de Valladolid, CIBER de enfermedades cardiovasculares (CIBERCV), Valladolid 47005, Spain
| | - Rodrigo de Luis-García
- Laboratorio de Procesado de Imagen, Department of Teoría de la Señal y Comunicaciones e Ingeniería Telemática, ETSIT, Universidad de Valladolid, Campus Miguel Delibes s.n., Valladolid 40011, Spain.
| | - Marcos Martín-Fernández
- Laboratorio de Procesado de Imagen, Department of Teoría de la Señal y Comunicaciones e Ingeniería Telemática, ETSIT, Universidad de Valladolid, Campus Miguel Delibes s.n., Valladolid 40011, Spain.
| | - Carlos Alberola-López
- Laboratorio de Procesado de Imagen, Department of Teoría de la Señal y Comunicaciones e Ingeniería Telemática, ETSIT, Universidad de Valladolid, Campus Miguel Delibes s.n., Valladolid 40011, Spain.
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