Clasificación de Segmentos Normales, Hyperkinéticos e Hypokinéticos en Imágenes Ventriculográficas, aplicando el Método de Línea Central
Evaluation of regional left ventricular wall motion is of vital importance at the clinical level, since this cavity is the most susceptible to severe damage in diseases such as arterial hypertension, diabetes mellitus and atherosclerosis. This paper reports on the design o...
- Autores:
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Velandia-Villamizar, Hernando José
Medina-Molina, Rubén de Jesús
Mendoza, Luis Enrique
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Universidad Santo Tomás
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/36149
- Acceso en línea:
- http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/1382
http://hdl.handle.net/11634/36149
- Palabra clave:
- Rights
- License
- Copyright (c) 2018 ITECKNE
| Summary: | Evaluation of regional left ventricular wall motion is of vital importance at the clinical level, since this cavity is the most susceptible to severe damage in diseases such as arterial hypertension, diabetes mellitus and atherosclerosis. This paper reports on the design of a software platform for the estimation of parameters describing the left ventricular wall motion in ventriculographic images. The system focuses on end-diastolic and end-systolic contours. Firstly is carried out a process of manual segmentation by the specialist, then 100 chords generated between two ventricular contours are quantified, which allows the classification of these segments (normal, hyperkinetic and hypokinetic). At last, the testing process is performed using actual data acquired in the Institute Autonomy Hospital Universitary of University of the Andes IAHULA. |
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