• Radiation Physics:It includes the study of ionizing and non-ionizing radiation, its production, interaction with matter and detection methods.

• Image Technology:It includes the design and management of equipment such as X-rays, tomographs, magnetic resonance imaging and ultrasound machines.

Training PrinciplesNo. of Images

• Conventional Radiography:It uses x-rays to obtain images, mainly of the bones.

• Computed Tomography (CT):It combines multiple x-ray images to generate detailed cross-sectional views of the body.

• Magnetic Resonance (MRI): It uses powerful magnetic fields and radio waves to create detailed images, especially useful for soft tissues and the brain.

• Ultrasound:It uses high-frequency sound waves to visualize internal organs and structures, especially in obstetrics.

• Nuclear medicine:It includes techniques such as positron emission tomography (PET) and scintigraphy, which use radioactive isotopes to study the function of organs and tissues.

Image Quality Criteria

• Spatial Resolution: The ability to discern fine details in an image.

• Contrast:The difference in image density between two regions.

• Noise:Random variations in image clarity that can obscure details.

Protocols and Security

• Radiological Protection:Strategies to minimize exposure to ionizing radiation for both patients and professionals.

• Protocol Optimization:Adjust image parameters to obtain the best quality with the lowest possible radiation dose.

Interpretation and Diaggnostic

• Morphological Analysis: Evaluation of the shape and structure of organs.

• Functional analysis:Study of the function and dynamics of organic systems.

• Differential Diagnosis: Using image patterns to distinguish between different pathological conditions.

Ethics and Training

• Informed consent:Essential before procedures involving radiation.
  Continuous training:Necessary due to the constant technological and methodological evolution in imaging.

Clinical Impact and Future

• Imaging is essential in the early detection, accurate diagnosis and monitoring of diseases. The future points towards greater diagnostic precision, personalization of treatment and the integration of artificial intelligence for advanced analysis.