Why did we use an iterative procedure while analyzing the CT performance?
Both iterative algorithms definitely improve visibility of low-contrast objects in comparison to a standard algorithm (FBP) with the same exposure parameters. Both iterative algorithms allow obtaning an 80% reduction of CTDIvol values while maintaining an acceptable visibility of low-contrast objects.
What is kernel in CT scan?
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.
What is MPR in CT scan?
Multiplanar reformation (MPR) is the process of using the data from axial CT images to create nonaxial two-dimensional images (,Fig 7,). MPR images are coronal, sagittal, oblique, or curved plane images generated from a plane only 1 voxel in thickness transecting a set or “stack” of axial images (,15,,23,,24,,28).
Which of the following reconstruction methods is used by most modern CT scanners?
|Which of the following mathematical reconstruction methods is used by most modern CT scanners? a. back-projection b. iterative methods c. fourier transform d. filtered back-projection||d. filtered back-projection|
What is adaptive statistical iterative reconstruction?
Adaptive statistical iterative reconstruction (ASIR) is an algorithm that reduces the noise level in reconstructed images and therefore allows the use of less ionizing radiation during CT scans without significantly affecting image quality. ASIR was instituted on all CT scans performed on trauma patients in June 2009.
What is slice thickness in CT?
Slice thickness and slice increment are central concepts that surround CT/MRI imaging. Slice thickness refers to the (often axial) resolution of the scan (2 mm in the illustration). Slice Increment refers to the movement of the table/scanner for scanning the next slice (varying from 1 mm to 4 mm in the illustration).