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Optimization Image Quality of Knee MRI Sagital Plane T2 Weighted TSE Sequences with Variations of Echo Train Length (ETL) on Cartesian and Blade Technique
- Source :
- E3S Web of Conferences, Vol 202, p 15015 (2020)
- Publication Year :
- 2020
- Publisher :
- EDP Sciences, 2020.
-
Abstract
- The use of Cartesian and Blade techniques also affects image quality. The Cartesian technique is more commonly used in Knee MRI examinations. Cartesian technique is vulnerable to movement, giving rise to motion artifacts. This motion artifact is often caused by too long scanning time, so ETL settings are important. An alternative to reducing this risk is to use the Blade technique and by setting the appropriate ETL. The research objective was to determine the differences image quality and anatomical information and to determine the technique that produced quality images and MRI anatomical information on the sagittal knee section between the Cartesian ETL and Blade T2 Weighted TSE combination. This is experiment research. Samples of 10 volunteers, carried out scanning with Cartesian and Blade techniques with variations ETL 14, 16, 18. Focus of assessment on ACL, PCL, meniscus, fluid, and fat. Image quality includes SNR and CNR. The assessment of the anatomical information by a radiologist. Data analyzed with Anova, Friedman, and Wilcoxon test. The results study showed that overall, there are significant differences in image quality between Cartesian and Blade techniques with p-value 0.005. There are differences in anatomical information with p-value
- Subjects :
- Blade (geometry)
Wilcoxon signed-rank test
Computer science
Image quality
030218 nuclear medicine & medical imaging
law.invention
03 medical and health sciences
0302 clinical medicine
Quality (physics)
t2 turbo spin echo (tse)
law
medicine
Cartesian coordinate system
Computer vision
lcsh:Environmental sciences
lcsh:GE1-350
Artifact (error)
business.industry
knee mri
cartesian
blade
Sagittal plane
medicine.anatomical_structure
echo train lenght (etl)
Artificial intelligence
business
Focus (optics)
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 22671242
- Volume :
- 202
- Database :
- OpenAIRE
- Journal :
- E3S Web of Conferences
- Accession number :
- edsair.doi.dedup.....768869877ed091bde1639ca1ad6c6be4
- Full Text :
- https://doi.org/10.1051/e3sconf/202020215015