TECHNICAL APPLICATION OF DENOISING KALMAN FILTER FOR ARTIFACT REDUCTION IN MRI ANATOMIC IMAGE INFORMATION

Abstract

Fatsups and BLADE sequences are used to reduce artifacts and clarify anatomical images. Based
on theoretical studies, the STIR, BLADE sequences, the addition or subtraction of parameters, and the
addition of artificial intelligence used still have a weakness, namely increasing the scanning time to be
longer. Another technique that can be used and sequences and parameters on MRI is the denoising
Kalman filter technique in the Matlab (Matrix Laboratory) program. The denoising technique is applied
after the scanning process. Denoising will not increase the MRI scanning time. This systematic review
aims to know the technical application of denoising Kalman filter for reduction artifacts on MRI
examination. The search was done using google scholar, WILEY, IEE Explore, SPRINGER,
PERPUSNAS, and Scopus in English with 2004-2020 articles period. The keywords are MRI artifact,
reducing artifacts, and the Kalman filter algorithm. A review of 4 articles of filter Kalman intervention on
MRI Brain, MRI Abdomen, and MR Cardiac shows that the Kalman filter is good enough to reduce
artifacts and improve anatomical information. The Kallman filter could reduce flow artifacts, improve
image quality and clarify anatomical images on MRI.