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All Journal Jurnal Ilmu Kedokteran dan Kesehatan (Medical Scientific Journal) MESINA
Ni Putu Rita Jeniyanthi
AKTEK Radiodiagnostik dan radioterapi Bali
Biochemistry, Genetics & Molecular Biology Chemistry Dentistry Education Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Optimization of MRI Image Quality Through Slice Thickness Variations in AXIAL T2-Weighted Imaging Using Air™ RECON DL Ni Wayan Yuniarsih; Ni putu Rita Jeniyanthi; Dedy Rudy H Mantow
MESINA (Medical Scientific Journal) Vol 7, No 1 (2026): Medical Scientific Journal (MESINA)
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/msj.v7i1.11425

Abstract

Magnetic Resonance Imaging (MRI) is a diagnostic imaging modality with excellent soft-tissue contrast. MRI image quality is influenced by several acquisition parameters, including slice thickness. AIR™ Recon DL (Deep Learning Image Reconstruction) has been developed to improve image quality through noise reduction and deep learning-based reconstruction. This study aimed to analyze the effects of slice thickness variation and AIR™ Recon DL level on the image quality of axial T2-weighted sequences acquired on a 1.5-Tesla MRI system. A quantitative experimental design using a phantom study was employed. Slice thicknesses of 1 mm, 3 mm, and 5 mm were evaluated at four AIR™ Recon DL levels: Off, Low, Medium, and High. Image quality was assessed using Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR), measured with the Region of Interest (ROI) method. Data were analyzed using the Shapiro–Wilk test, Two-Way Repeated Measures ANOVA, and post hoc testing. The results demonstrated that slice thickness, AIR™ Recon DL level, and their interaction significantly affected both SNR and CNR (p<0.001). SNR increased with greater slice thickness and higher AIR™ Recon DL levels, with the highest value observed at 5 mm and the High level. In contrast, CNR tended to decrease as both parameters increased, and the highest CNR was obtained at 1 mm with AIR™ Recon DL Off. These findings indicate that AIR™ Recon DL can effectively improve signal quality; however, protocol optimization should maintain an appropriate balance among signal enhancement, noise reduction, partial-volume effects, and image contrast. The findings may support optimization and clinical studies.
Analisis Prosedur Pemeriksaan Mri Brain Pada Kasus Parese Cranial Nerve VI Dengan Sekuen 3D bSSFP: Studi Kasus Di Instalasi Radiologi Rs Di Daerah Jakarta Regitha Debiesga Prima; Ni Putu Rita Jeniyanthi
Jurnal Ilmu Kedokteran dan Kesehatan Vol 13, No 3 (2026): Volume 13 Nomor 3
Publisher : Prodi Kedokteran Fakultas Kedokteran Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jikk.v13i3.22701

Abstract

Parese CN VI merupakan kelumpuhan saraf kranialis keenam yang menyebabkan gangguan pergerakan bola mata dan penglihatan ganda. Penelitian ini bertujuan mendeskripsikan prosedur MRI Brain pada parese CN VI serta mengevaluasi peran 3D bSSFP (FIESTA) dalam visualisasi saraf dan deteksi kelainan. Metode penelitian ini kualitatif deskriptif dengan pendekatan studi kasus melibatkan satu pasien yang dilakukan pemeriksaan MRI Brain. Hasil penelitian menunjukkan persiapan pasien meliputi melepaskan benda logam, mengganti pakaian, screening medis, dan buang air kecil. Dan menggunakan MRI 1,5 T dengan head coil, body strap, spons/busa, selimut, dan emergency buzzer. Protokol pemeriksaan mencakup 3-plane localizer, Sagital T1 SE, Sagital T2, Coronal T2, Axial DWI b-value 1000, Axial T1, Axial T2 Propeller, Axial T2* GRE, Axial T2 FLAIR, dan Axial 3D bSSFP (FIESTA). Peran 3D bSSFP (FIESTA) untuk menilai jalur CN VI, mendeteksi kompresi saraf. Kesimpulan pemeriksaan MRI Brain pada parese CN VI dengan sekuen 3D bSSFP (FIESTA) meningkatkan visualisasi nervus abducens dan deteksi kelainan dibandingkan sekuen rutin.
Co-Authors Dedy Rudy H Mantow Ni Wayan Yuniarsih Regitha Debiesga Prima