What does the term "matrix size" in computed tomography (CT) refer to?

What does the term "matrix size" in computed tomography (CT) refer to?

• A. Size of pixels in the matrix
• B. Number of pixels in the matrix
• C. Physical dimensions of the matrix
• D. Brightness levels in the matrix

Answer: (B)

The term "matrix size" in computed tomography (CT) refers to the number of pixels in the matrix. In CT imaging, a matrix is a grid of pixels that make up a digital image. Each pixel represents a specific area of the scanned object. The size of the matrix is defined by the number of rows and columns of pixels it contains. A larger matrix size results in a greater number of pixels, leading to higher resolution images. This increased resolution allows for more detailed visualization of structures within the scanned area. Understanding matrix size is crucial for interpreting CT images, as it directly affects the clarity and quality of the images produced. A larger matrix can improve the sharpness and detail, while a smaller one can lead to images that may appear more pixelated or less defined.

The term "matrix size" in computed tomography (CT) refers to the number of pixels in the matrix. In CT imaging, a matrix is a grid of pixels that make up a digital image. Each pixel represents a specific area of the scanned object. The size of the matrix is defined by the number of rows and columns of pixels it contains. A larger matrix size results in a greater number of pixels, leading to higher resolution images. This increased resolution allows for more detailed visualization of structures within the scanned area.

Understanding matrix size is crucial for interpreting CT images, as it directly affects the clarity and quality of the images produced. A larger matrix can improve the sharpness and detail, while a smaller one can lead to images that may appear more pixelated or less defined.