SimuTC: a didactic tool for learning image reconstruction in computed tomography

Angélica Valdés, Facultad de Medicina, Escuela de Tecnología Médica, Universidad de Valparaíso, Viña del Mar, Chile
Cristián Arellano, Facultad de Medicina, Escuela de Tecnología Médica, Universidad de Valparaíso, Viña del Mar, Chile
Claudio Cuellar-Fritis, Facultad de Medicina, Escuela de Tecnología Médica, Universidad de Valparaíso, Viña del Mar, Chile
Marvin Querales, Instituto de Matemática, Física y Estadística, Universidad de Las Américas, Sede Providencia, Santiago, Chile

Introduction: Computed tomography (CT) is a crucial tool in modern medical diagnosis; however, teaching it poses challenges due to the limited availability of equipment and high operating costs. Objective: In response, SimuTC was developed, an educational simulator designed to enhance learning in CT image reconstruction. Material and methods: Development was structured in three stages: 1) collection of representative clinical images, 2) design of the digital environment, and 3) technical and educational validation by medical technology students and teachers. Results: SimuTC enables the selection of anatomical regions, adjustment of technical parameters, and visualization of the resulting set of images, providing warnings when the configuration does not align with the diagnostic objective. The perception survey showed high acceptance. The most valued dimensions were improved learning, understanding of reconstruction parameters, and usefulness as a teaching supplement. Qualitative comments highlighted aspects such as usefulness, ease of use, and clinical applicability in a positive manner. Conclusions: SimuTC is a tool that promotes active learning. Its implementation complements theoretical training, improves accessibility to simulated experiences, and strengthens key technical skills in training environments with limited resources.

Keywords: Computed tomography. Image reconstruction. Computer simulation. Health education.