Perhitungan Otomatis untuk Quality Control (QC) Magnetic Resonance Imaging (MRI): Signal-to-Noise Ratio (SNR) dan Signal-to-Noise Ratio Uniformity (SNRU)

Palupi, Anisa Yekti Indah (2024) Perhitungan Otomatis untuk Quality Control (QC) Magnetic Resonance Imaging (MRI): Signal-to-Noise Ratio (SNR) dan Signal-to-Noise Ratio Uniformity (SNRU). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Magnetic Resonance Imaging (MRI) merupakan salah satu alat kesehatan yang digunakan untuk menghasilkan citra dalam tubuh. Hasil pemindaian MRI ini digunakan untuk mendiagnosis suatu penyakit. Agar terhindar dari salahnya diagnosis, maka perlu dilakukan pengujian Quality Control pada kualitas citra MRI. Contoh parameter QC MRI adalah Signal-to-Noise Ratio (SNR) dan Signal-to-Noise Ratio Uniformity (SNRU). Pengujian QC ini memerlukan waktu perhitungan dan analisis yang cukup lama. Oleh karena itulah, pada penelitian kali ini akan dilakukan pembuatan program perhitungan otomatis QC MRI dengan parameter SNR dan SNRU metode satu gambar dan dua gambar. Hasil pengujian QC MRI otomatis ini dibandingkan dengan hasil pengujian manual menggunakan ImageJ, dan diperoleh hasil error sebesar 3×10^(-3)%. Perbandingan tersebut membuktikan keakuratan hasil pengujian program QC MRI yang telah dibuat. Untuk hasil pengujian SNR metode satu gambar dan dua gambar, diperoleh hasil yang tidak terlalu berbeda Namun, dari perhitungan SNR ini didapatkan nilai SNR yang semakin kecil ketika waktu gema (TE) semakin besar. Sedangkan untuk hasil pengujian SNRU metode satu gambar dan dua gambar, diperoleh perbedaan hasil yang signifikan. SNRU pada metode dua gambar menghasilkan nilai yang lebih besar, namun memiliki rasio yang lebih baik dan konsisten daripada hasil pengujian SNRU satu gambar.
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Magnetic Resonance Imaging (MRI) is a medical device used to produce internal body images. MRI scan results are used to diagnose diseases. To avoid incorrect diagnoses, it is necessary to perform Quality Control (QC) testing on MRI image quality. Examples of MRI QC parameters are Signal-to-Noise Ratio (SNR) and Signal-to-Noise Ratio Uniformity (SNRU). QC testing requires considerable time for calculation and analysis. Therefore, this study aims to develop an automated QC MRI calculation program using the SNR and SNRU parameters with both single-image and dual-image methods. The results of this automated QC MRI testing were compared with manual testing using ImageJ, yielding an error rate of 3×10^(-3)%. This comparison demonstrates the accuracy of the developed QC MRI testing program. For the SNR testing results using both single-image and dual-image methods, the results were not significantly different. However, from these SNR calculations, it was found that the SNR value decreases as the echo time (TE) increases. Meanwhile, for the SNRU testing results using both single-image and dual-image methods, significant differences were observed. The SNRU in the dual-image method produced higher values but had better and more consistent ratios than the single-image SNRU testing results.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	MRI, Quality Control, SNR, SNRU
Subjects:	Q Science Q Science > QA Mathematics > QA76.76.A63 Application program interfaces Q Science > QA Mathematics > QA76.9.U83 Graphical user interfaces. User interfaces (Computer systems)--Design. Q Science > QC Physics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Anisa Yekti Indah Palupi
Date Deposited:	27 Aug 2024 02:00
Last Modified:	27 Aug 2024 02:00
URI:	http://repository.its.ac.id/id/eprint/114229

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