Sentence examples for correction registration from inspiring English sources

Medical Image Computing The growth of neuroimaging has spurred a parallel development of neuroimaging computing methods and workflows, including bias correction, registration, segmentation, information extraction and visualization.

Packages from the FMRIB Software Library FSL (version 4.1) [23] were used for motion correction, registration (FLIRT) [24] and statistical image analysis.

Coupled with new perfusion software, this technique enables motion correction, registration, and evaluation of perfusion MR parameters.

Preprocessing steps for each subject consisted of slice-time correction, registration to the volume acquired closest to the high-resolution anatomy, spatial smoothing with a 4.5-mm full-width half-maximum Gaussian filter, and mean-based intensity normalization of all volumes by the same factor.

The pre-processing pipeline includes: a) re-orientating images to the standard (MNI) template, b) bias field correction, c) registration to the MNI template using both linear (FLIRT) and non-linear (FNIRT) registration tools and d) brain extraction.

Registration performance itself was evaluated by examining the increase in mutual information from motion correction and registration.

Before the attenuation correction, manual registration was created in coronal, sagittal, and transaxial views.

Motion correction by registration of PET gates becomes increasingly difficult with shorter scan times and less counts.

In addition, good motion correction and registration followed by merging will improve SNR.

After motion correction and registration by the software, the perfusion MR images were free of motion artifacts and misregistration.

The final correction in registration process is performed by warping the mask image with respect to the live image.