Which algorithm is expected to yield 3D images with the least amount of image noise?

The standard algorithm is designed to produce high-quality images while effectively balancing detail and noise reduction. This algorithm utilizes methods that optimize the signal-to-noise ratio, making it particularly adept at suppressing image noise in various tissues, including those in soft tissue imaging where clarity is essential.

In contrast, other algorithms like the bone or lung algorithms are tailored for specific types of tissue; for instance, the bone algorithm enhances contrast for denser structures, typically increasing noise and artifacts in softer tissues. Edge-enhancing algorithms are intended to accentuate the boundaries of structures, which can improve visualization of certain features but may inadvertently increase the perception of noise.

Therefore, the standard algorithm is preferred for generating 3D images with the least amount of image noise, due to its comprehensive approach to image quality and noise management across diverse tissues.