Modelo computacional de la válvula pulmonar en contextos hipertensivos

Yoleidy Huérfano, Miguel Vera, Atilio Del Mar, María Vera, Julio Contreras-Velásquez, José Chacón, Sandra Wilches-Duran, Modesto Graterol-Rivas, Maritza Torres, Victor Arias, Joselyn Rojas, Wilson Siguencia, Lisse Angarita, Rina Ortiz, Diana Rojas-Gomez, Carlos Garicano, Daniela Riaño-Wilches, Maricarmen Chacín, Valmore Bermúdez, Antonio Bravo

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

Astrategy for pulmonary valve (PV) three-dimensional segmentation is proposed using 20 cardiac imaging multilayer computed tomography, for entire cardiac cycle of a subject. This strategy is global similarity enhancement technique based on and it comprises of pre-processing, segmentation and parameter tuning stages. The pre-processing stage is split into two phases called filtering and definition of a region of interest. These phases are preliminarily applied to end-diastole cardiac-phase and they address the noise, artifacts and low contrast images problems. During PV segmentation, the region growing algorithm is applied to the pre-processed images and it is initialized using a voxel detected with least squares support vector machines. During the parameters tuning, the Dice score (Ds) is used to compare the PV segmentations, obtained by the proposed strategy, and manually PV segmentation, generated by a cardiologist. The combination of filtering techniques that generated the highest Ds considering the end-diastole phase is then applied to the others 19 3-D images, yielding an average Ds comparable with the Ds reported in the literature.

Título traducido de la contribuciónComputational model of the pulmonary valve in hypertensive contexts
Idioma originalEspañol
Páginas (desde-hasta)7-11
Número de páginas5
PublicaciónRevista Latinoamericana de Hipertension
Volumen11
N.º2
EstadoPublicada - 2016

Palabras clave

  • Filtering process
  • Pulmonary valve
  • Segmentation.

Áreas temáticas de ASJC Scopus

  • Medicina interna
  • Cardiología y medicina cardiovascular

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