Widyastanti, Kurnia (2026) Penerapan Metode Kuantitatif Menggunakan Model Monoeksponensial dalam Analisis Spin - Spin Relaxation Time (T2) Gel. Other thesis, institut Teknologi Sepuluh Nopember.
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Abstract
Magnetic Resonance Imaging (MRI) merupakan teknik pencitraan tanpa ionisasi yang mampu menghasilkan informasi anatomi sekaligus parameter kuantitatif jaringan melalui analisis waktu relaksasi spin - spin (T₂). Nilai T2 banyak digunakan untuk menggambarkan intensitas sinyal pada suatu jaringan tiruan dan dipengaruhi oleh interaksi spin proton selama proses relaksasi. Penelitian ini bertujuan mengembangkan Graphical User Interface (GUI) sebagai media visualisasi dan pengolahan citra MRI, menganalisis pengaruh jenis material fantom terhadap nilai relaksasi spin - spin (T¬2), serta membandingkan hasil estimasi menggunakan model monoeksponensial dengan offset dan tanpa offset. Fantom yang digunakan terdiri atas kolagen, xanthan gum, dan sodium alginat. Akuisisi data dilakukan menggunakan sekuens Multi-Echo Spin-Echo dengan enam variasi waktu echo (TE). Nilai intensitas sinyal diperoleh melalui segmentasi Region of Interest (ROI), kemudian dianalisis menggunakan metode Non Linier Least Squares (NLLS) untuk memperoleh parameter awal, waktu relaksasi T2, offset (C), koefisien determinasi (R¬2) dan Root Mean Square Error (RMSE). Hasil penelitian menunjukkan bahwa setiap material menghasilkan pola peluruhan sinyal dan nilai T₂ yang berbeda. Selain itu, model monoeksponensial dengan offset memberikan representasi kurva yang lebih sesuai terhadap data pengukuran dibandingkan model tanpa offset. Hasil penelitian ini menunjukkan bahwa jenis material phantom dan model fitting yang digunakan memengaruhi estimasi nilai relaksasi spin - spin (T₂) pada analisis kuantitatif MRI.
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Magnetic Resonance Imaging (MRI) is a non-ionizing imaging modality capable of providing anatomical information as well as quantitative tissue parameters through the analysis of spin–spin relaxation time (T₂). The T₂ value is widely used to characterize signal intensity in tissue-mimicking phantoms and is influenced by proton spin interactions during the relaxation process. This study aimed to develop a Graphical User Interface (GUI) for MRI visualization and image processing, analyze the effect of phantom material type on spin–spin relaxation time (T₂), and compare the estimation results obtained using monoexponential models with and without an offset. The phantoms consisted of collagen, xanthan gum, and sodium alginate. Data acquisition was performed using a Multi-Echo Spin-Echo sequence with six echo time (TE) variations. Signal intensity values were extracted through Region of Interest (ROI) segmentation and analyzed using the Nonlinear Least Squares (NLLS) method to estimate the initial, T₂ relaxation time, offset (C), coefficient of determination (R²), and Root Mean Square Error (RMSE). The results demonstrated that each phantom material exhibited distinct signal decay patterns and T₂ values. Furthermore, the monoexponential model with an offset provided a better representation of the measured data than the model without an offset. These findings indicate that both the phantom material type and the selected fitting model influence the estimation of spin–spin relaxation time (T₂) in quantitative MRI analysis
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Fantom Gel, Magnetic Resonance Imaging, Model Monoeksponensial, Nonlinear Least Squares, Waktu Relaksasi. , Gel Phantom, Magnetic Resonance Imaging, Monoeksponential Model, Nonlinear Least Square, T2 Relaxation Time.======Gel Phantom, Magnetic Resonance Imaging, Monoeksponential Model, Nonlinear Least Square, T2 Relaxation Time. |
| Subjects: | Q Science > QC Physics R Medicine > R Medicine (General) > R858 Deep Learning R Medicine > RC Internal medicine > RC78.7.N83 Magnetic resonance imaging. |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Kurnia Widyastanti |
| Date Deposited: | 01 Aug 2026 02:16 |
| Last Modified: | 01 Aug 2026 02:16 |
| URI: | http://repository.its.ac.id/id/eprint/141129 |
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