| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 13004 | |
| Number of page(s) | 10 | |
| Section | Industrial and Health Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202020213004 | |
| Published online | 10 November 2020 | |
A Phantom Study of Crosstalk Artefact Reduction using Interleaved Method in MR Lumbar
1 Dental and Oral Hospital of University Muhammadiyah Semarang, Radiological Department, 50273 Semarang City, Indonesia
2 Poltekkes Kemenkes Semarang, Department of Radiodiagnostic and Radiotherapy Techniques, 50268 Semarang City, Indonesia
* Corresponding author: wingghayariepg@gmail.com
Crosstalk artefacts appear as dark signal lines on MR images that occur due to imperfect multi-slice settings. There is still a good deal of emergence of crosstalk artefacts on T1 of SE and FSE sequence with interleaved slice acquisition methods. This study aims to determine the differences and the optimal value of reduction of crosstalk artefacts against changes in TR on T1 between SE and FSE sequences in interleaved slice acquisition methods. The experiment was carried out by scanning the water phantom with a variation of TR 500ms, 600ms, and 700ms in SE and FSE sequences. An assessment of the reduction of crosstalk artefacts was carried out using SNR values. There is a significant difference in the reduction of crosstalk artefacts between SE sequences and FSE on T1 (p-value = < 0.001). The reduction of crosstalk artefacts in SE sequences with TR values of 600ms and 700ms respectively, were 22.2% and 37.7%. Whereas the FSE sequences were 28.3% and 56%. Optimal crosstalk artefact reduction occurs in FSE sequences of T1 (56%). It is intended to use FSE sequences with TR 700ms on T1 if there are overlapping slices so that the crosstalk artefacts that occur will be reduced optimally.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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