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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.
Application of Fusion Technique with ImageJ Stacks Feature for Brain Tumor MRI Image Optimization Tajuddin, Nur Wahyu; Satoto, Bambang; Indrati, Rini; Kristanto Mulyantoro, Donny; Darmini, Darmini; Murti Wibowo, Gatot
Asian Journal of Social and Humanities Vol. 2 No. 11 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i11.359

Abstract

Fusion techniques on MRI for brain tumors can provide comprehensive visualization by combining Axial T2-Flair and Axial T1-GD (T1-weighted post-contrast) sequence images. Fusion MRI in brain tumors is able to clearly display the location, size and characteristics of the tumor. However, not all institutions can install such additional fusion software due to significant additional costs. Therefore, this study aims to prove that the Stacks feature on ImageJ as an alternative can be optimal in visualizing brain tumor image information through MRI fusion techniques. This study used 17 image samples with a quasi experimental design post test only without control group design to compare three analysis methods, namely fusion maximum intensity, minimum intensity and average intensity so that the most suitable projection can be determined. The evaluation of image quality was carried out through a histogram which was then analyzed with a crucal-wallis and the Mann Whitney u test, while the analysis of pathological information used a crucal-wallis, followed by a post hoc test and continued with Mann Whitney u for further analysis. The results show that the stacks feature on ImageJ can be used in the application of fusion techniques so that it will improve the contrast and sharpness of MRI images, especially in areas with high tumor activity. MRI images of brain tumors with maximum fusion intensity produced images with the highest average gray level and the best pathological information. This projection is more optimal than the minimum intensity and average intensity because it provides a more detailed and clear visualization of brain tumors.
Development of Radiographer Performance Assessment Instruments in the Radiology Installation of Dr. H. Abdul Moeloek Lampung Province Soraya, Sri; Sudiyono, Sudiyono; Indrati, Rini
Journal of Social Research Vol. 2 No. 12 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i12.1628

Abstract

At Abdul Moeloek Regional General Hospital in Lampung Province, evaluating radiographers' performance is crucial for ensuring quality radiology services. The current assessment tools for ongoing professional practice and work behavior lack clear, objective indicators and targets. This research uses research and development (R&D) research methods with a quasi-experimental posttest-only non-equivalent control group design. Data were collected using observation, interviews, and FGD. Expert validation and design improvements are conducted, followed by a trial involving 20 radiographers. Validity is tested using corrected items to total correlation, and reliability is assessed using Cronbach's alpha. Next, expert validation tests and design improvements were carried out by 3 experts, and then a limited trial of 20 RSUDAM radiographers carried out a validity test using corrected items to total correlation. Meanwhile, the reliability test uses Cronbach's alpha. The developed instrument, based on indicators and targets, demonstrates valid and reliable measures of radiographer performance. Expert validation through FGD confirms the instrument's effectiveness. Validity test results indicate significance (> 0.05), and reliability tests show Cronbach's alpha values (> 0.60). Normality tests reveal non-distributed data (p-value < 0.05). The Wilcoxon test, comparing old and new instruments, yields a significant Asymp.sig value (0.000) for the discipline variable, indicating improved performance assessment.
Optimizing MRI Examination Planning through a Computational Formula: A Mixed-Method Study of Radiology Management in Indonesian Hospitals Santosa, Gatot; Satoto, Bambang; Indrati, Rini; Susanto, Edy; Asih Budiati, Tri; Hariri, Ahmad
Journal of Multidisciplinary Sustainability Asean Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v1i5.1335

Abstract

Background. The healthcare sector is a fundamental aspect of human life, requiring continuous attention from governments to improve service quality. In radiology services, particularly Magnetic Resonance Imaging (MRI), optimizing resource use is crucial due to high equipment costs and the complexity of operations. Purpose. This study develops a computational formula designed to assist radiology department heads in planning and calculating daily MRI examination targets during the equipment's lifespan. Factors such as hospital type, service fees, operational costs, and regional location are incorporated into the formula. Method. The research employs a mixed-method approach, combining preliminary surveys with the development and validation of the computational formula. Validation by financial and radiology experts demonstrated the formula's reliability and accuracy. Additionally, large-scale testing involving ten stakeholders confirmed the application's functionality, reliability, and user-friendliness. Results. The Results show that this tool significantly improves the planning and operational management of MRI equipment, offering a solution that is adaptable to new regulations and real-time data. Conclusion. This application provides a promising method for optimizing MRI use in hospitals, particularly within the context of the National Health Insurance (JKN) system. Its flexibility and ease of use make it applicable for both government and private hospitals, ensuring effective MRI utilization and financial management.