Rini Indrati, Rini
Technic of Radiodiagnostic and Radiotherapy Department, Polytechnic Health Ministry of Semarang

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OPTIMIZATION OF R-FACTOR AT GRAPPA PARALLEL ACQUISITION TECHNIQUE ON THE IMAGE INFORMATION T2 AXIAL BRAIN MRI Saifudin, Saifudin; Sukmaningtyas, Hermina; Indrati, Rini; Santjaka, Aris
Proceedings of the International Conference on Applied Science and Health No 1 (2017)
Publisher : Proceedings of the International Conference on Applied Science and Health

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Abstract

Background: GRAPPA or Generalized Auto-calibrating Partially Parallel Acquisitions is a parallel acquisition technique which can reduce the scan time in MRI examination. Aims: This study aims to investigate the effect of the R-factor variation of GRAPPA on image anatomical information quality and to determine the optimization value of GRAPPA e-factor to fasten the scan time with acceptable image information quality. Methods: Eight respondents will perform T2 axial Brain MRI examination with various values of GRAPPA R-factor (1 to 7), evaluation was conducted with questionnaire which was given to 3 radiologists to assess the anatomical structure of the lateral ventricle, thalamus, caudate nucleus, lent form nucleus, internal capsule and background area. Data from respondents were then tested with Spearman test and Friedman test. Results: Statistics test showed that there was significant effect of GRAPPA parallel acquisition technique on the anatomical image information quality of T2 axial Brain MRI (p value of 0,001<0,05) and the correlation direction was negative, in which the higher the value of r-factor GRAPPA used, the lower the quality of anatomical image information. Based on the result of mean rank, image with optimal image anatomical information quality was image with GRAPPA R-factor of 1 (mean rank = 6.01), but image anatomical information quality with GRAPPA R-factor of 3 was acceptable with fast scan time (opinion of 75 % of all radiologists). Conclusion: R-factor at GRAPPA parallel acquisition technique could reduce scan time, but the higher the value of r-factor GRAPPA used, the lower the quality of image anatomical information. 
INTEGRAL CHOQUET Dewi, Putu Kartika; Indrati, Rini
Prosiding Seminar Nasional MIPA 2015: PROSIDING SEMINAR NASIONAL MIPA UNDIKSHA 2015
Publisher : Prosiding Seminar Nasional MIPA

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Abstract

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Analysis of Computed Tomography Dose Index (CTDI) And Dose Length Product (DLP) Dose Values On Non-Contrast Head, Chest And Abdominal CT Scan Examination At RSUD Ulin Banjarmasin Fitriana, Kartika Puspa; Indrati, Rini; Kurniawan, Andrey Nino
SANITAS: Jurnal Teknologi dan Seni Kesehatan Vol 14 No 2 (2023): SANITAS Volume 14 Nomor 2 Tahun 2023
Publisher : Politeknik Kesehatan Kemenkes Jakarta II

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36525/sanitas.2023.471

Abstract

Background: CT scans produce the largest dose of radiation compared to other radiology modalities. The parameters for measuring the amount of radiation dose from the CT Scan aircraft are the Computed Tomography Dose Index (CTDI) and the Dose Lenght Product (DLP). One form of Bapeten supervision in controlling radiation protection is to optimize the Diagnostic Raference Level (DRL). At RSUD Ulin Banjarmasin, the CT Scan modality has never been measured for CT Scan dose on CT Scan examination of the Head, Thorax and Abdomen Non Contrast which are the most frequent examinations. Dosage parameters are important to see the values exposed to the patient. The purpose of this study was to determine the amount of radiation dose of patients on CT Scan examination of the Head, Thorax and Non-Contrasting Abdomen. Method: The research design used is quantitative descriptive. The method of collecting data is observational and uses secondary data. Data processing uses the descriptive hypothesis test method one sample t-test, by analyzing the value of radiation dose and comparing the DRL value set by Bapeten as a means to monitor the dose given α=0.05. Results: Dose values for CT Scan of Non Contrast Head 33.90±3.66 mGy for CTDIvol and 933.07±415.63 mGy.cm for DLP. CT Scan Thorax Non Contrast 5.83±1.90 mGy for CTDIvol and 179.80±63.72 mGy.cm for DLP. Non Contrast Abdominal CT Scan 10.88±2.30 mGy for CTDIvol and 528.70±137.75 mGy.cm for DLP. Conclusion: The dose value at RSUD Ulin Banjarmasin in each CT Scan examination of the Head, Thorax and Abdomen Non Contrast is still below the National DRL value set by BAPETEN.
DIFFERENCE OF ANATOMY INFORMATION MRI KNEE JOINT ON VARIATION OF TIME REPETITION SEQUENCES STIR IN SAGITTAL SLICES Indrati, Rini; Widyastuti, Lydia Purna; Sari, Tri Puspita; Sudiyono, Sudiyono
Journal of Vocational Health Studies Vol. 4 No. 2 (2020): November 2020 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V4.I2.2020.89-94

Abstract

Background: Time Repetition (TR) is one of the main parameters of Inversion Recovery. Purpose: The purpose of this study to determine differences in anatomical MRI information on the variation of the knee joint TR sequences STIR Sagittal slices. Method: Type of research is experimental. The study was conducted with MRI 1.5 Tesla. Data in the form of 42 image sequences STIR MRI knee joint with TR 3500,  4000, 4500, 5000, 5500, 6000, and 6500 ms. Anatomical assessments on the anterior cruciate ligament, posterior cruciate ligament, articular cartilage, and meniscus were performed by a radiologist. Data analyzed by Friedman and Wilcoxon test. Result: The results showed that there were differences in the MRI anatomical information of the knee joint of the STIR sagitas slice in the TR variation with p-value < 0.001. There is a difference in anatomical information between TR 5000 and 6000 ms (p-value = 0.034), TR 5000 and 6500 ms (p-value = 0.024), TR 5500 and 6500 ms (p-value = 0.038). There is no difference in anatomical information between TR 4500 and 5000 ms (p-value  = 0.395), TR 4500 and 5500 ms (p-value = 0.131), TR 4500 and 6000 ms (p-value = 0.078), TR 4500 and 6500 ms (p-value = 0.066), TR 5000 and 5500 ms (p-value = 0.414), TR 5500 and 6000 ms (p-value = 0.102),  TR 6000 and 6500 ms (p-value = 0.083). Conclusion: The optimal value to produce anatomical information of the knee joint sagittal MRI sequences STIR is TR 4500 ms.
OPTIMALISASI PENGADAAN MRI MELALUI TARGET KUNJUNGAN PASIEN DI ERA JAMINAN KESEHATAN NASIONAL Santosa, Gatot; Satoto, Bambang; Indrati, Rini; Susanto, Edy; Budiati, Tri Asih; Hariri, Ahmad
Jurnal Kesehatan Tambusai Vol. 5 No. 4 (2024): DESEMBER 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v5i4.34623

Abstract

Sektor kesehatan merupakan aspek fundamental dari kehidupan manusia, membutuhkan perhatian berkelanjutan dari pemerintah untuk meningkatkan kualitas layanan. Dalam layanan radiologi, khususnya Magnetic Resonance Imaging (MRI), upaya mengoptimalkan penggunaan sumber daya sangat penting karena biaya peralatan yang tinggi dan kompleksitas operasi. Studi ini mengembangkan formula komputasi yang dirancang untuk membantu kepala departemen radiologi dalam merencanakan dan menghitung target pemeriksaan MRI harian selama masa pakai peralatan. Faktor-faktor seperti jenis rumah sakit, biaya layanan, biaya operasional, dan lokasi regional dimasukkan ke dalam rumus. Penelitian ini menggunakan pendekatan metode campuran, menggabungkan survei pendahuluan dengan pengembangan dan validasi rumus komputasi. Validasi oleh pakar keuangan dan radiologi menunjukkan keandalan dan akurasi formula. Selain itu, pengujian skala besar yang melibatkan sepuluh pemangku kepentingan mengkonfirmasi fungsionalitas, keandalan, dan keramahan pengguna aplikasi. Hasil menunjukkan bahwa alat ini secara signifikan meningkatkan perencanaan dan manajemen operasional peralatan MRI, menawarkan solusi yang dapat disesuaikan dengan peraturan baru dan data waktu nyata. Aplikasi ini memberikan metode yang menjanjikan untuk mengoptimalkan penggunaan MRI di rumah sakit, terutama dalam konteks sistem Jaminan Kesehatan Nasional (JKN). Fleksibilitas dan kemudahan penggunaannya membuatnya berlaku untuk rumah sakit pemerintah dan swasta, memastikan pemanfaatan MRI dan manajemen keuangan yang efektif.