Kernel (image reconstruction for CT)

The kernel, also known as a convolution algorithm, refers to the process used to modify the frequency contents of projection data prior to back projection during image reconstruction in a CT scanner . This process corrects the image by reducing blurring . The kernel affects the appearance of image structures by sharpening the image. Different kernels have been developed for specific anatomical applications including soft tissue (standard kernel) and bone (bone kernel) . Bone kernels produce a sharper image with higher spatial resolution .

When this kind of algorithm is used to improve spatial resolution, the process is called deconvolution. The process of deconvolution coupled with back projection results in filtered back projection .