Which of the following matrix sizes will have the smallest pixels?

Which of the following matrix sizes will have the smallest pixels?

• A. 1024 x 1024
• B. 512 x 512
• C. 256 x 256
• D. 2048 x 2048

Answer: (D)

A matrix in CT imaging refers to the grid of pixels that make up the image. The size of the matrix plays a significant role in determining the size of the individual pixels. When the matrix size increases while the image field of view (FOV) remains constant, the size of each pixel becomes smaller because the same area is being subdivided into more pixels. In the case of a 2048 x 2048 matrix compared to the other options, although it divides the FOV into many pixels, the pixel size is smaller in comparison to a smaller matrix such as 1024 x 1024, 512 x 512, or 256 x 256. This occurs because with more pixels, each one occupies a smaller portion of the total image area. Thus, among the matrix sizes listed, the 2048 x 2048 matrix results in the smallest pixel size, leading to higher resolution and potentially more detailed images. This property is essential for various imaging applications that require fine distinctions between structures.

A matrix in CT imaging refers to the grid of pixels that make up the image. The size of the matrix plays a significant role in determining the size of the individual pixels. When the matrix size increases while the image field of view (FOV) remains constant, the size of each pixel becomes smaller because the same area is being subdivided into more pixels.

In the case of a 2048 x 2048 matrix compared to the other options, although it divides the FOV into many pixels, the pixel size is smaller in comparison to a smaller matrix such as 1024 x 1024, 512 x 512, or 256 x 256. This occurs because with more pixels, each one occupies a smaller portion of the total image area.

Thus, among the matrix sizes listed, the 2048 x 2048 matrix results in the smallest pixel size, leading to higher resolution and potentially more detailed images. This property is essential for various imaging applications that require fine distinctions between structures.