What is the goal of iterative reconstruction techniques in CT?

The goal of iterative reconstruction techniques in computed tomography (CT) is primarily focused on improving image quality while simultaneously reducing the amount of radiation dose delivered to the patient. This approach uses a series of algorithms that refine the initial image data by repeatedly adjusting and optimizing the reconstruction process. The iterative algorithms analyze the data and correct for artifacts, noise, and inaccuracies, which leads to clearer images without the need for increasing radiation exposure.

This technique is beneficial because it addresses two significant concerns in medical imaging: the need for high-quality diagnostic images and the imperative to minimize patient exposure to radiation. By using iterative reconstruction methods, clinicians can obtain clearer, more accurate images, which aids in diagnosis and treatment planning, while ensuring patient safety is prioritized through lower radiation doses.

The enhancement of slice thickness, creation of 3D images, and speed of the scanning process, although important features of CT imaging, do not encapsulate the primary aim of iterative reconstruction techniques, which is about balancing image quality and patient safety.