impact of convolution kernel in the image quality of ct scans

Summary

The kernel, also known as a convolution algorithm, affects the image quality of CT scans by reducing blurring and sharpening the image. 1 This process can improve the accuracy of the scan and help to detect small abnormalities. 1 The kernel also affects the contrast of the image, allowing for better visualization of different structures. Thus, the convolution kernel has a significant impact on the image quality of CT scans.

According to
1 radiopaedia.org


See more results on Neeva

Summaries from the best pages on the web

For each patient, CT scans were reconstructed using smooth and sharp kernel in filtered back projection. The regions of interest (ROIs) were contoured on the smooth kernel-based CT and transferred…
Impact of CT convolution kernel on robustness of radiomic features for ...
favIcon
nih.gov
Summary 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 1 . This process corrects the image by reducing blurring 1 . The kernel affects the appearance of image structures by sharpening the image
Kernel (image reconstruction for CT) - Radiopaedia
favIcon
radiopaedia.org
The sharpness of the kernels used for image reconstruction in computed tomography affects the values of the quantitative image features. We sought to identify the kernels that produce similar feature…
Matching and Homogenizing Convolution Kernels for Quantitative ... - PubMed
favIcon
nih.gov
These kernels impact the resolution and apparent noise of the image, sharpening or smoothing the image depending on the kernel selected. However, currently there exists a lack of guidance on…
Impact of computed tomography (CT) reconstruction kernels on ...
favIcon
wiley.com
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…
Kernel (image reconstruction for CT) | Radiology Reference Article ...
favIcon
radiopaedia.org
On the 64-MDCT scanner, noise increased linearly along with NI, with the slope affected by changing the anatomy of interest, peak kilovoltage, reconstruction algorithm, and convolution kernel . The noise–NI relationship…
Relating Noise to Image Quality Indicators in CT Examinations With Tube ...
favIcon
ajronline.org
Several studies have investigated the feature stability against reconstruction techniques in different cancer types 18–20 and have shown the choice of convolution kernel in filtered back projection (FBP) CT reconstruction…
Impact of CT convolution kernel on robustness of radiomic features for ...
favIcon
birpublications.org
be of major impact . Convolution kernel is often applied on the raw projection data to account for the limitation of the conven-tional back-propagation algorithm which tends to provide blurred images.…
Impact of CT convolution kernel on robustness of radiomic features for ...
favIcon
birpublications.org
CT Slice Thickness and Convolution Kernel Affect Performance of a Radiomic Model for Predicting EGFR Status in Non-Small Cell Lung Cancer: A Preliminary Study. Yajun Li, Lin Lu, Manjun Xiao…
CT Slice Thickness and Convolution Kernel Affect Performance of a ...
favIcon
nature.com
A convolutional neural network–based image conversion improved the reproducibility of radiomic features (CCC, 0.84; 403 of 702 [57.4%] features with CCC ≥ 0.85; by excluding wavelet features, 50 of 78…
Deep Learning–based Image Conversion of CT Reconstruction ... - Radiology
favIcon
rsna.org