OPTIMALISASI CONCATENATION TERHADAP IMAGE QUALITY PADA PEMERIKSAAN MRI LUMBAL KASUS HERNIA NUCLEUS PULPOSUS (HNP)
DOI:
https://doi.org/10.31004/prepotif.v8i3.35252Keywords:
Concatenation, MRI, Hernia Nukleus Pulposus, SNR, CNRAbstract
Penelitian ini bertujuan untuk mengevaluasi pengaruh variasi pengaturan concatenation terhadap kualitas citra MRI lumbal pada kasus Hernia Nukleus Pulposus (HNP). Penelitian ini berfokus pada bagaimana perbedaan pengaturan concatenation memengaruhi Signal-to-Noise Ratio (SNR) dan Contrast-to-Noise Ratio (CNR), dua parameter penting yang sangat berpengaruh pada keakuratan diagnosis. Metode yang digunakan adalah desain eksperimental, di mana dua pengaturan concatenation yang berbeda diterapkan pada pemeriksaan MRI lumbal. Hasil penelitian menunjukkan bahwa Concatenation 2 memberikan peningkatan yang signifikan pada nilai SNR dan CNR dibandingkan dengan Concatenation 1. Peningkatan ini menghasilkan citra yang lebih jelas dan detail, sehingga membantu meningkatkan akurasi dalam mendiagnosis HNP. Dengan kualitas citra yang lebih unggul, Concatenation 2 juga dinilai lebih efisien secara klinis, karena dapat mempermudah interpretasi hasil oleh radiolog dan mengurangi kemungkinan kesalahan diagnosis. Berdasarkan temuan ini, Concatenation 2 direkomendasikan sebagai pengaturan optimal untuk pemeriksaan MRI lumbal pada pasien dengan HNP. Pengaturan ini tidak hanya memberikan citra dengan kualitas yang lebih baik, tetapi juga mendukung efisiensi dalam praktik klinis sehari-hari. Penelitian ini memberikan wawasan penting bagi peningkatan kualitas prosedur pencitraan medis.References
Awadalla, A. M., Aljulayfi, A. S., Alrowaili, A. R., Souror, H., Alowid, F., Mahdi, A. M. M., Hussain, R., Alzahrani, M. M., Alsamarh, A. N., Alkhaldi, E. A., & Alanazi, R. C. (2023). Management of Lumbar Disc Herniation: A Systematic Review. Cureus. https://doi.org/10.7759/cureus.47908
Azharuddin, A., Aryandono, T., Magetsari, R., & Dwiprahasto, I. (2022). Predictors of the conservative management outcomes in patients with lumbar herniated nucleus pulposus: A prospective study in Indonesia. Asian Journal of Surgery, 45(1), 277–283. https://doi.org/10.1016/j.asjsur.2021.05.015
Chen, S., Ross, T. J., Chuang, K. S., Stein, E. A., Yang, Y., & Zhan, W. (2010). A new approach to estimating the signal dimension of concatenated resting-state functional MRI data sets. Magnetic Resonance Imaging, 28(9), 1344–1352. https://doi.org/10.1016/j.mri.2010.04.002
Christin, T., Theng, L., Faisal, R. M., & Bahar, E. (2019). Accuracy of Clinical Examination, Lumbosacral Radiography, and Electrodiagnosis in Suspected Patients With Lumbar Herniated Nucleus Pulposus.
Dayarathna, S., Islam, K. T., Uribe, S., Yang, G., Hayat, M., & Chen, Z. (2024). Deep learning based synthesis of MRI, CT and PET: Review and analysis. Medical Image Analysis, 92, 103046. https://doi.org/10.1016/j.media.2023.103046
Demirturk Kocasarac, H., Kursun-Cakmak, E. S., Ustaoglu, G., Bayrak, S., Orhan, K., & Noujeim, M. (2020). Assessment of signal-to-noise ratio and contrast-to-noise ratio in 3 T magnetic resonance imaging in the presence of zirconium, titanium, and titanium-zirconium alloy implants. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, 129(1), 80–86. https://doi.org/10.1016/j.oooo.2019.08.020
Harmawan, E. W., Apriawan, T., Subagio, E. A., Faris, M., Utomo, S. A., Utomo, B., & Bajamal, A. H. (2022). Diagnostic accuracy of contrast and non-contrast 1.5 tesla magnetic resonance imaging for lumbar herniated nucleus pulposus based on surgical findings. International Journal of Health Sciences, 692–711. https://doi.org/10.53730/ijhs.v6ns6.10200
Hiepe, P., Herrmann, K. H., Ros, C., & Reichenbach, J. R. (2011). Diffusion weighted inner volume imaging of lumbar disks based on turbo-STEAM acquisition. Zeitschrift Fur Medizinische Physik, 21(3), 216–227. https://doi.org/10.1016/j.zemedi.2010.10.009
Ladd, M. E., Bachert, P., Meyerspeer, M., Moser, E., Nagel, A. M., Norris, D. G., Schmitter, S., Speck, O., Straub, S., & Zaiss, M. (2018). Pros and cons of ultra-high-field MRI/MRS for human application. In Progress in Nuclear Magnetic Resonance Spectroscopy (Vol. 109, pp. 1–50). Elsevier B.V. https://doi.org/10.1016/j.pnmrs.2018.06.001
Lwanga, S. K., & Lemeshow, S. (n.d.). Sample size determination in health studies?: a practical manual.
Maulidya Maulidya, I., Wibowo, G. M., Murniati, E., Pascasarsajana, P., & Kesehatan, T. (2019). Penerapan Acceleration Factor terhadap Karakteristik Citra Diagnostik T2WI FSE pada MRI Lumbal Kasus Herniated Nucleus Pulposus (HNP). Jurnal Imejing Diagnostik (JImeD), 5, 66–73. http://ejournal.poltekkes-smg.ac.id/ojs/index.php/jimed/index
Mbarki, W., Bouchouicha, M., Frizzi, S., Tshibasu, F., Farhat, L. Ben, & Sayadi, M. (2020). Lumbar spine discs classification based on deep convolutional neural networks using axial view MRI. Interdisciplinary Neurosurgery: Advanced Techniques and Case Management, 22. https://doi.org/10.1016/j.inat.2020.100837
Mehta, P., Morrow, M., Russell, J., Madhuripan, N., & Habeeb, M. (2017). Magnetic Resonance Imaging of Musculoskeletal Emergencies. Seminars in Ultrasound, CT and MRI, 38(4), 439–452. https://doi.org/10.1053/j.sult.2017.04.001
Ract, I., Meadeb, J. M., Mercy, G., Cueff, F., Husson, J. L., & Guillin, R. (2015). A review of the value of MRI signs in low back pain. In Diagnostic and Interventional Imaging (Vol. 96, Issue 3, pp. 239–249). Elsevier Masson SAS. https://doi.org/10.1016/j.diii.2014.02.019
Ravi, D., Barkhof, F., Alexander, D. C., Puglisi, L., Parker, G. J. M., & Eshaghi, A. (2024). An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. Medical Image Analysis, 91, 103033. https://doi.org/10.1016/j.media.2023.103033
Russo, F., Ambrosio, L., Giannarelli, E., Vorini, F., Mallio, C. A., Quattrocchi, C. C., Vadalà, G., Papalia, R., & Denaro, V. (2023). Innovative quantitative magnetic resonance tools to detect early intervertebral disc degeneration changes: a systematic review. The Spine Journal, 23(10), 1435–1450. https://doi.org/10.1016/j.spinee.2023.05.011
Vargas, M. I., Boto, J., & Meling, T. R. (2021). Imaging of the spine and spinal cord: An overview of magnetic resonance imaging (MRI) techniques. In Revue Neurologique (Vol. 177, Issue 5, pp. 451–458). Elsevier Masson s.r.l. https://doi.org/10.1016/j.neurol.2020.07.005
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Yunda Istiqamah, Kadek Yuda Astina, I Wayan Ariec Sugiantara

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).