LA TECNOLOGÍA DIGITAL APLICADA EN EL ESTUDIO DE TOMOGRAFÍAS COMPUTARIZADAS DE CORAZÓN (DIGITAL TECHNOLOGY APPLIED IN THE STUDY OF HEART COMPUTED TOMOGRAPHY)

Resumen La evolución de las tecnologías digitales ha abierto muchos campos de investigación en diferentes áreas del conocimiento. El área médica es un área muy beneficiada, que aunque existe mucho trabajo realizado, su gran diversidad deja un gran campo no explotado. La cardiología actual depende mucho de las imágenes y sonidos adquiridos del corazón con equipo especializado para detectar las patologías en los pacientes. Para interpretar estas imágenes, el médico cardiólogo dedica mucho tiempo debido a que es una tarea muy demandante. Por lo que se muchos investigadores se han propuesto desarrollar algoritmos inteligentes que asistan al médico en el proceso. El análisis que se pretende asistir en este trabajo es la medición del calcio en las arterias coronarias, esto se mide a través de un índice obtenido por tomográfica computarizada de baja dosis que cuantifica la exposición de los rayos X en zonas específicas del estudio. Palabras Clave: Arterias coronarias, Bases de datos, Inteligencia Artificial, Tomografía computarizada. Abstract The evolution of digital technologies has opened many fields of research in different areas of knowledge. The medical area is a very benefited area, that although there is a lot of work done, its great diversity leaves a great unexploited field. Today's cardiology relies heavily on acquired images and sounds of the heart with specialized equipment to detect pathologies in patients. To interpret these images, the cardiologist spends a lot of time because it is a very demanding task. So many researchers have set out to develop intelligent algorithms that assist the physician in the process. The analysis that is intended to assist in this work is the measurement of calcium in the coronary arteries, this is measured through an score obtained by low-dose computed tomography that quantifies the X-ray exposure in specific areas of the study. Keywords: Artificial Intelligence, Computed Tomography, Coronary Arteries, Data Base

Development of a Web Application for the Detection of Coronary Artery Calcium from Computed Tomography

Coronary atherosclerosis is the most common form of cardiovascular diseases, which represent the leading global cause of mortality in the adult population. The amount of coronary artery calcium (CAC) is a robust predictor of this disease that can be measured using the medical workstations of computed tomography (CT) equipment or specialized tools included in commercial software for DICOM viewers, which is not available for all operating systems. This manuscript presents a web application that semiautomatically quantifies the amount of coronary artery calcium (CAC) on the basis of the coronary calcium score (CS) using the Agatston technique through digital image processing. To verify the correct functioning of this web application, 30 CTCSs were analyzed by a cardiologist and compared to those of commercial software (OsiriX DICOM Viewer).All the scans were correctly classified according to the cardiovascular event risk group, with an average error in the calculation of CS of 1.9% and a Pearson correlation coefficient r = 0.9997, with potential clinical application