Open AccessApplication of spectral subtraction denoising on 3 T MRI in lumbar spine (herniated nucleus pulposus case) GRAPPA to improve CNR
Author(s) -
Ildsa Maulidya,
Fatimah Fatimah,
G. Santoso
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1943/1/012049
Subject(s) - image quality , subtraction , sagittal plane , contrast to noise ratio , nuclear medicine , medicine , mathematics , computer science , image (mathematics) , artificial intelligence , radiology , arithmetic
Using of r-factor which is higher can speed up the scanning time in parallel imaging techniques but causes a decrease in contrast to noise ratio (CNR), thus causing image quality not optimal in the MRI Lumbar examination of the T2WI turbo spin echo (TSE) generalized autocalibrating partially parallel acqusitions (GRAPPA) herniated nucleus pulposus case. Fast scanning time is needed by using a higher r-factor to get the optimal image with improved CNR. Spectral subtraction denoising (SSD) is one of filter technique that can be used to improve image quality, CNR is one of the parameters used in determine image quality, SSD is expected to be able improved CNR to have good image quality. The purpose was to measure changes of image quality CNR. This type of research is a pre-experimental research with a one group pretest-posttest design to determine the differences in CNR quality by applying SSD to the r-factor variations in the lumbar MRI image of T2WI TSE GRAPPA sagital. Data were analyzed by statistical tests, friedman. There is a difference in image quality in variations acceleration factor with increase CNR in GRAPPA parallel imaging technique with a value of p <0.05, obtained r-factor 3 as the optimal r-factor the highest mean rank value with the application of SSD.