Analisa Image Quality pada Variasi Nilai Sensitivity Encoding MRI Brain Sekuens T1 TSE Axial di instalasi Radiologi RSUP Prof. dr. I.G.N.G.Ngoerah Denpasar
DOI:
https://doi.org/10.59841/an-najat.v1i4.523Keywords:
Sensitivity Encoding, Brain MRI, SNR, CNRAbstract
Magnetic resonance imaging (MRI) is an advanced medical device in the medical field that combines computer technology, high magnetic fields (0.064-7.0 Tesla), and radio waves to create cross-sectional images of the human body. Magnetic resonance imaging (MRI) examination has advantages over other diagnostic methods, because it does not use ionizing radiation, is non-invasive, produces high resolution in soft tissues, and allows different slice marks in all planes (axial, sagittal, coronal, even oblique), so that the image results are more detailed and clear. Sensitivity Encoding is a parallel imaging technique that uses images generated from a phased array coil. SENSE reconstruction can speed up the filling of the K Space thereby reducing scan time. In MRI brain imaging, a clear contrast between organs and minimal noise is required, so a good CNR (Contrast to Noise) is needed. CNR is derived from SNR. CNR is the difference in value between two SNRs that are close to each other. The type used is quantitative research with an experimental approach. The samples of this study were 10 MRI brain patients who underwent examinations in June-July 2023 at the Radiology Installation of Prof. Dr. I. G. Ngoerah Denpasar Hospital. G. N. G. Ngoerah Denpasar The results of this study show a sig value of 0.000 <0.05, it can be concluded that Ha is accepted and Ho is rejected. This means that there is a significant difference in Contrast to Noise Ratio (CNR) on MRI examination of Brain T1 TSE Axial sequences using variations in Sensitivity Encoding values. Sensitivity Encoding value 2 is able to produce a more optimal CNR compared to the Sensitivity Encoding value, seen from the meank rank value at Sensitivity Encoding value 2 which is 55.2325 while at Sensitivity Encoding 3 is 42.8033. There is a difference in Contrast to Noise Ratio (CNR) on MRI Brain examination of T1 TSE Axial sequences by using variations in Sensitivity Encoding values 2 and 3. The Sensitivity Encoding value that can provide the most optimal Contrast to Noise Ratio (CNR) on MRI Brain examination of T1 TSE Axial sequences is Sensitivity Encoding value 2.
References
A. Cahyaningtyas, E. Susanto, P. K. Semarang, and P. K. Semarang, “OPTIMASI NILAI SENSITIVITY ENCODING ( SENSE ) TERHADAP PEMERIKSAAN MRI CERVICAL PADA KASUS HERNIA NUCLEUS PULPOSUS ( HNP ) OPTIMIZATION OF SENSITIVITY ENCODING ( SENSE ) VALUE ON CERVICAL MRI EXAMINATION IN HERNIA NUCLEUS PULPOSUS ( HNP ) CASE,” 2014.
A. W. Jatmiko, “Efek Pemakaian Kontras Untuk Optimalisasi Citra Pada Pemeriksaan Diagnostik Magnetic Resonance Imaging (MRI),” J. Biosains Pascasarj., vol. 23, no. 1, p. 28, 2021, doi: 10.20473/jbp.v23i1.2021.28-39.
Catherine Westbrook. (2014). Handbook of MRI Technique. In Wiley-Blackwell.
Dale, B. M. (2015). MRI BASIC PRINCIPLES AND APPLICATIONS.
D. NINGSIH, “Analisa Perbedaan Snr Dan Cnr Mri Brain Pada Variasi Slice Thickness Sekuen Susceptibility Weighted Imaging (Swi) Potongan Axial …,” 2019, [Online].Available: http://repository.poltekkessmg.ac.id/?p=show_detail&id=19385
F. Susanto, A. G. Santoso, and B. Abimanyu, “Analysis of Turbo Spin Echo (Tse) T2 Weighting Brain Mri Axial Slices With Sensitivity Encoding (Sense) and Without Sense Usage: Evaluation on Signal To Noise Ratio (Snr) and Scan Time,” JImeD, vol. 2, no. 2, pp. 148–153, 2016.
H. Saefulloh, S. Masrochah, and F. Fatimah, “Differences Image Quality of Signal To Noise Ratio (Snr) in Sensitivity Encoding (Sense) Applied on Magnetic Resonance Cholangiopancreatography (Mrcp) Examination Sequences Tse T2 Coronal,” J. Imejing Diagnostik, vol. 4, no. 2, p. 85, 2018, doi: 10.31983/jimed.v4i2.4003.
Khaerani, G. A., & Wibowo, A. S. (2020). ANALISIS PENGGUNAAN SENSITIVITY ENCODING ( SENSE ) PADA PEMERIKSAAN MRI BRAIN SEKUEN 3D BALANCED FAST FIELD ECHO ( BFFE ) DENGAN NILAI R-FAKTOR OPTIMAL ANALYSIS OF THE USE OF SENSITIVITY ENCODING ( SENSE ) IN BRAIN MRI EXAMINATION 3D BALANCED FAST FIELD E.
M. E. Silitonga and B. Abimanyu, “PROSEDUR PEMERIKSAAN MRI BRAIN PADA KASUS ANEURISMA INTRACRANIAL DENGAN MENGGUNAKAN PESAWAT MRI 3 TESLA DI INSTALASI RADIONUKLIR RSPAD GATOT SOEBROTO JAKARTA MRI BRAIN EXAMINATION PROCEDURES IN INTRACRANIAL ANEURYSMS CASES USING MRI 3 TESLA AIRCRAFT IN RA,” no. 1, p. 73, 2017
R. Indrati, I. S. Sahlan, B. Satoto, S. Daryati, and P. K. Semarang, “Jurnal Imejing Diagnostik,” vol. 6, pp. 16–22, 2020.
R. Setianingrum and A. Kurniawati, “Analisa Perbedaan Citra Anatomi Mri Brain Potongan Axial Sekuen Diffusion Weighted Imaging Antara Turbo-Spin-Echo Echo-Planar- Imaging Dan Spin-Echo Echo-Planar-Imaging Pada Kasus Stroke the Difference Analysis of Anatomy Image Mri Brain Axial Plane Seque,” 2018.
Novelin Safitri Maulida, Edy Susanto, & Emi Murniati. (2019). Prosedur Pemeriksaan Magnetic Resonance Imaging (Mri) Brain Perfusi Dengan Metode Arterial Spin Labeling (Asl) Pada Pasien Tumor. JRI (Jurnal Radiografer Indonesia), 2(1), 48–58. https://doi.org/10.55451/jri.v2i1.33
Utami, H. S., Susanto, F., Rahardian, A. P., & Erfansyah, M. (2021). Jurnal Imejing Diagnostik. 7, 89–93.
