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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Ners Science Midwifery International Journal of Health Science and Technology
Hidayat, Fathur Rachman
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Humanities Computer Science & IT Control & Systems Engineering Dentistry Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Analysis of Differences in Image Quality and Anatomical Information of Head CT Scan Examination in Non-Hemorrhagic Stroke Cases Using Sinogram Affirmed Iterative Reconstruction (SAFIRE) Samudra, Alan; Fitriana, Lutfatul; Hidayat, Fathur Rachman; Wibowo, Kusnanto Mukti; Ariesma Githa Giovany; Caesarendra, Wahyu
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.629

Abstract

SAFIRE should be utilized to its full potential, as this innovative image reconstruction algorithm can significantly reduce image noise without loss of sharpness, preserving image quality and anatomical information. This is particularly important in the case of non-hemorrhagic stroke, where image noise can obscure small lesions, potentially leading to misdiagnosis and inappropriate treatment. SAFIRE has five variations of strength, making it essential to identify the most optimal SAFIRE Strength for head CT Scan examinations in non-hemorrhagic stroke cases. The aim of this study is to determine differences in image quality and anatomical information in head CT Scan of non-hemorrhagic stroke cases using SAFIRE variations to identify the most optimal SAFIRE Strength. This experimental quantitative study involved a sample of 30 patients, with each case reconstructed using five SAFIRE Strength variations. Image quality was assessed using the IndoQCT application, while anatomical information was evaluated through the visual grading analysis method by three radiologists. Image quality data were analyzed using the Friedman statistical test, which resulted in a p-value of 0.000 (p < 0.05), indicating significant differences among the SAFIRE Strength variations. Similarly, anatomical information data were analyzed using the Kruskal-Wallis statistical test, yielding a p-value of 0.000 (p < 0.05), confirming significant differences across the variations. The results of the study showed that there are significant differences in image quality and anatomical information among the five SAFIRE Strength variations. SAFIRE Strength 3 was identified as the most optimal for head CT Scan examinations in non-hemorrhagic stroke cases, as it produces images with minimal noise and higher detail, providing clearer anatomical information compared to the other SAFIRE Strength variations.
Analysis of axial T2 TSE images using deep learning reconstruction in MRI of brain tumors Muzdalifah, Nadifah Pratiwi; Utami, Hernastiti Sedya; Hidayat, Fathur Rachman; Wibowo, Kusnanto Mukti; Jadmika, Muhammad Riefki; Samudra, Alan
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1867

Abstract

Magnetic Resonance Imaging (MRI) Brain examinations often encounter uncooperative patients, necessitating rapid scanning techniques that yield optimal results. To address this challenge, advanced technologies such as deep learning can be leveraged to accelerate scan time, reduce noise, and enhance image precision. This study aims to evaluate the disparity in MRI Brain image quality with and without deep learning in tumor cases to achieve superior diagnostic imaging. Employing a quantitative experimental approach, this research analyzed a sample of 30 patients collected from January to February 2025. Three Radiologist Specialists assessed the images using a questionnaire based on the Visual Grading Analysis (VGA) method. The obtained responses were statistically examined through Cohen’s Kappa consistency test and Wilcoxon Signed-Rank Test. Findings revealed a statistically significant difference in image information between deep learning-assisted and conventional MRI scans. In T2 TSE sequences, deep learning reconstruction demonstrated superior anatomical visualization of the Gray Matter, White Matter, Lateral Ventricles, Basal Ganglia, and Parafalx Cerebri. However, in brain tumor pathology visualization, conventional MRI exhibited sharper and more distinct tumor delineation. Although deep learning-enhanced T2 TSE sequences reduced scan duration and improved overall image quality, they provided suboptimal diagnostic information in tumor cases.
Analysis of differences in anatomical information in magnetic resonance cholangiopancreatography (MRCP) examinations between the use of the mouth breath hold technique and trigger technique Rahmawan, Sahrul; Fitriana, Lutfatul; Hidayat, Fathur Rachman; Samudra, Alan
Science Midwifery Vol 13 No 2 (2025): June: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i2.1915

Abstract

MRCP is a non-invasive imaging method used to visualize the biliary system and detect abnormalities in the bile ducts or gall bladder. In taking images, there are two techniques, namely the mouth breath hold (MBH) technique and the trigger technique, where the MBH technique is carried out by the radiographer giving instructions directly related to the patient's respiratory movements, while the trigger technique uses respiratory gating to detect breathing patterns and minimize image blur due to organ movement. At Department of Radiology SMC Telogorejo Semarang both techniques are used in MRCP examinations by looking at the condition of each patient. So the author is interested in comparing the results of anatomical information from the two techniques. Methods: This research uses a quantitative design with an experimental approach. Data was collected from 10 patients who underwent MRCP examinations at the Department of Radiology SMC Telogorejo Semarang in August–September 2024. The scanning procedure was carried out using a T2 HASTE coronal section sequence twice for each patient using the MBH and trigger technique. Anatomical information was assessed by means of visual grading analysis by 3 radiologists on the structure of the cystic duct, intra-hepatic duct, common hepatic duct, common bile duct, pancreatic duct, and gallbladder (gallbladder) using a questionnaire with a scale (1–4). Then the data was analyzed using SPSS to determine whether there were differences in image information from the two techniques using the Wilcoxon difference test. This research has passed the ethical test number: KEPK/UMP/170/I2025. Results: Based on the results of the Wilcoxon test, both for the entire anatomy and for each anatomy, it shows a p-value < 0.05. This indicates that there are significant differences in the anatomical information produced by the two techniques. Based on the mean rank value, the most optimal technique for displaying anatomical information is MBH. This advantage is due to its ability to reduce movement artifacts through the breath-hold method, resulting in clearer and more detailed anatomical images compared to the trigger technique. The MBH technique is more effective in improving MRCP anatomical information, especially in patients with respiratory instability. It is hoped that these results can be a reference in determining the optimal method for MRCP examination.
Analisis Perbedaan Kualitas Citra Pemeriksaan MRI Cervical Potongan Sagital Pada Penggunaan Sekuens T2 Tse Dixon, T2 Tse Spair, Dan T2 Tse Stir Masghuri, Hakim; Rahardian, Arga Pratama; Susanto, Fani; Samudra, Alan; Hidayat, Fathur Rachman
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.45268

Abstract

Fat suppression merupakan teknik penting dalam pencitraan MRI, khususnya untuk meningkatkan visualisasi struktur anatomi dengan mengurangi sinyal lemak. Penelitian ini bertujuan untuk mengevaluasi perbedaan kualitas citra pada pemeriksaan MRI Cervical pada penggunaan tiga teknik fat suppression pada masing-masing sekuen, yaitu T2 TSE Dixon, T2 TSE SPAIR, dan T2 TSE STIR. Evaluasi dilakukan pada struktur anatomi CerebroSpinal Fluid (CSF), Spinal Cord, Discus dan Bone Marrow dengan parameter kualitas citra berupa Signal-to-Noise Ratio (SNR) dan Contrast-to-Noise Ratio (CNR). Hasil analisis statistik menunjukkan bahwa terdapat perbedaan yang signifikan pada nilai SNR pada penggunaan ketiga teknik fat suppresion pada masing-masing sekuen. T2 TSE STIR memiliki mean rank tertinggi, diikuti oleh T2 TSE Dixon dan T2 TSE SPAIR. Sebaliknya, tidak ditemukan perbedaan yang signifikan pada nilai CNR antar ketiga teknik. Meskipun nilai SNR tertinggi diperoleh dari sekuen T2 TSE STIR, bukan berarti teknik tersebut memiliki kualitas citra yang paling optimal. Faktor lain seperti karakteristik jaringan dan sensitivitas masing-masing teknik terhadap inhomogenitas medan magnet turut memengaruhi hasil pencitraan. Setiap teknik menunjukkan performa yang bervariasi tergantung pada jenis jaringan yang dianalisis, sehingga pemilihan teknik fat suppression sebaiknya disesuaikan dengan kebutuhan diagnostik yang spesifik.
Image quality comparison of abdominal MSCT: Injector vs. Syringe Method Faesol, Ahmad; Permana, Hendry Dwi Widya; Hidayat, Fathur Rachman
International Journal of Health Science and Technology Vol. 7 No. 1 (2025): Juli
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/ijhst.v7i1.4209

Abstract

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Co-Authors Ariesma Githa Giovany Faesol, Ahmad Fitriana, Lutfatul Jadmika, Muhammad Riefki Masghuri, Hakim Muzdalifah, Nadifah Pratiwi Permana, Hendry Dwi Widya Rahardian, Arga Pratama Rahmawan, Sahrul Samudra, Alan Susanto, Fani Utami, Hernastiti Sedya W, Kusnanto Mukti Wahyu Caesarendra