What is the most common matrix size used for CT raw data reconstruction?

The most common matrix size used for CT raw data reconstruction is indeed 512 x 512. This size strikes a good balance between image detail and computational efficiency. A matrix size of 512 x 512 provides sufficient resolution to detect various anatomical structures and pathologies while keeping the processing time and memory usage reasonable.

Smaller matrix sizes, like 256 x 256, can lead to lower image resolution, potentially obscuring important details; they may be used in certain applications but are less common for standard CT reconstruction. Larger matrix sizes, such as 1024 x 1024 or 768 x 768, while offering higher resolution, require significantly more processing power and memory, which can be impractical in many clinical settings. Thus, 512 x 512 remains the preferred choice in most situations. This matrix size allows for effective imaging while optimizing resource use.