Optimalization Image Of Turbo Spin Echo (TSE) With Pre Saturation And Gradient Moment Nulling (GMN) To Reduce Flow Artifact On MRI Cervical

Jurnal Biosains Pascasarjana

View Publication Info
 
 
Field Value
 
Title Optimalization Image Of Turbo Spin Echo (TSE) With Pre Saturation And Gradient Moment Nulling (GMN) To Reduce Flow Artifact On MRI Cervical
 
Creator Ula, Kiki Rohmatul
 
Subject natural science, biomedical engineering, immunology, forensic science, fishery and marine biotechnology, physic
natural science, biomedical engineering, immunology, forensic science, fishery and marine biotechnology, physic
 
Description ABSTRACTThe  research  of  Optimization  Image  of  Turbo  Spin  Echo  (TSE)  with  Pre saturation and Gradient Moment Nulling (GMN) to reduce flow artifact on MRI Cervical has been done. The purpose of this research is to know the effect of pre saturation and gradient moment nulling (GMN) on cervical MRI and determine optimal image to reduce flow artifact. This research used four treatment variations that were without pre saturation and without flow compensation (GMN), with pre saturation, with flow compensation (GMN), and with both pre saturation and flow compensation (GMN) on sequence T2-weighting TSE sagital on cervical MRI. The quantitative analysis done by using Region of Interest (ROI) on MRI image then analyzed signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR). The best effect and image quality obtained by pre saturation and flow compensation (GMN) treatment with SNR value on tissue was 328,7 at vertebra cervical, 278,6 at spinal cord, 366,6 at discus, 596,3 at CSF. While CNR tissue value was 78,6 at vertebra cervical, 257,6 at spinal cord, 274,8 at discus, and336,3 at CSF followed by the decrease of flow artifact in the amount of 160,4. Conclusion shows that the image with both pre saturation and flow compensation (GMN) treatment on T2 TSE sagital can reduce flow artifact signal on the spinal cord tissue. Keywords : Pre saturation, flow compensation, gradient moment nulling (GMN), MRI Cervical.
 
Publisher Universitas Airlangga
 
Contributor Universitas Airlangga, Fakultas Sains dan Teknologi, Departemen S1 Fisika
 
Date 2019-08-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://e-journal.unair.ac.id/BIOPASCA/article/view/20012
10.20473/jbp.v21i2.2019.57-70
 
Source Jurnal Biosains Pascasarjana; Vol 21, No 2 (2019): JURNAL BIOSAINS PASCASARJANA; 57-70
2621-4849
1412-1433
 
Language eng
 
Relation https://e-journal.unair.ac.id/BIOPASCA/article/view/20012/10969
 
Rights Copyright (c) 2020 Jurnal Biosains Pascasarjana
http://creativecommons.org/licenses/by-nc-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library