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Sugiyanto Sugiyanto
Politeknik Kesehatan Kemenkes Semarang
Health Professions Medicine & Pharmacology

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Optimalisasi Informasi Citra T1 W1 Post-Contrast Dengan Fat Saturation dan Pengaturan Time Repetition: Studi pada Pemeriksaan Magnetic Resonance Imaging Brain dengan Kasus Tumor Akhmad Haris Sulistiyadi; Ari Suwondo; Sugiyanto Sugiyanto
Jurnal Imejing Diagnostik (JImeD) Vol 1, No 1: January 2015
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v1i1.3149

Abstract

Background: Fat saturation is an alternative technique to improve image information in T1 WI post contrast MRI of brain tumor. It can increase lesion conspituity by suppressing normal tissue’s signal. To optimize image information by using fat saturation, selection of Fat Saturation type and Time Repetition (TR) value are important.Objectives: to analyze the differences in T1 WI post-contrast image information in MRI of brain tumor in various type of Fat Saturation and TR value.Methods: Experimental study with factorial design conducted in  Telogorejo Hospital-Semarang. Nine combinations (9 groups) of three Fat Saturation types (none, weak, and strong) by three TR values (700 ms, 750 ms, and 800 ms) were given to 12 patients of MRI brain tumor. Image informations were assessed by measuring  SNR (white matter, gray matter, lesions, surrounding tissue), CNR (white matter- gray matter, white matter-CSF, gray matter-CSF, lesion- surrounding tissue), lesion conspituity, artifacts, and contrast image in general.Results: The results showed that there were significant differences in SNR of white matter, gray matter, and in surrounding tissue (p 0.05); CNR of white matter-CSF, gray matter-CSF, lesion-tissue surrounding tissue (p 0.05); and lesion conspituity (p 0.05) between groups with no sat fat, weak fat sat, and strong fat sat. There were significant differences in SNR of white matter, gray matter, and surrounding tissue (p 0.05); and CNR of white matter-CSF, gray matter-CSF, and lesion- surrounding tissue (p 0.05) between group TR 700 ms, TR 750 ms, and TR 800 ms.Conclusion: Combination of strong fat saturation and TR 700 ms can produce the most optimal image information.
Analisis Variasi Nilai Time Repetition (TR) dan Time Inversion (TI) terhadap Informasi Anatomi Sekuens Turbo Inversion Recovery Magnitude (TIRM) MRI Wrist Joint Dengan Menggunakan MRI 0,3 Tesla Slamet Fujianto; Sugiyanto Sugiyanto; Mohamad Irwan Katili
Jurnal Imejing Diagnostik (JImeD) Vol 2, No 1: January 2016
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v2i1.3164

Abstract

Backgroud: The Turbo Inversion Recovery Magnitude (TIRM) pulse sequence is used to examine wrist joint, especially in the coronal plane. Main parameters of inversion recovery pulse sequence are time repetition (TR), time echo (TE) and time inversion (TI). This study aims to analyze the variation of time repetition (TR) and time inversion (TI) on anatomical information using TIRM pulse sequence on wrist joint MR imaging with 0,3 tesla.Methods: This study was a quantitave experimental study with a linear regression test. This study was conducted in Radiology Department of Banyumas hospital using twenty serial images from only one patient with 10 variation of TR (3000 ms, 3200ms, 3400 ms, 3600 ms, 3800 ms, 4000 ms, 4200 ms, 4400 ms, 4600 ms, 4800 ms) and 10 variation of TI (70 ms, 75 ms, 80 ms, 85 ms, 90 ms, 95 ms, 100 ms, 105 ms, 110 ms, 115 ms). Image assessed by only one respondent.Results: There was no significant influence of variation of TR and TI on anatomical information. Significant number was 0,240 which is bigger than p value (0,05). TR and TI variation affected just only 15,5% to anatomical information, 84,5% was influenced by other variables that unconfirmed in this study.Conclusion: There was differences of anatomical information in MRI wrist joint sequence coronal T2WI-FSE fat suppression between SPIR and SPAIR with a significance level of p value 0.001 (p 0.05). SPAIR is the method which is clearer to show the anatomical information of wrist joint.
Analisis Informasi Citra Anatomi Antara Penggunaan Aplikasi Constance Level Appearance (CLEAR) dan Non CLEAR Pada Pemeriksaan MRI Cervical Irisan Sagital T2WI FSE Kasus HNP Dea Febri Mardiyanti; Sugiyanto Sugiyanto; Yeti Kartikasari
Jurnal Imejing Diagnostik (JImeD) Vol 1, No 2: July 2015
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v1i2.3160

Abstract

Background: This study aims to determine the anatomical image information between using CLEAR aplication and without CLEAR (Non CLEAR) aplication on cervical MRI examination with T2WI FSE sagital HNP case and to determine which is the best image between using CLEAR aplication and Non CLEAR aplication on cervical MRI examination with T2WI FSE sagital HNP case.Methods: This research was a quantitative research with an experimental approach Subjects of this study were eight patients in Siloam Lippo Village Hospital. Images resulted was assessed by radiology physician using questionnairs. Data were analyzed using Wilcoxon test to determine differences of image information and using mean rank test to determine the best image between using CLEAR application and without CLEAR aplication.Results: This study showed that there were differences anatomical image information between using CLEAR application and without CLEAR aplication on cervical MRI examination with T2WI FSE sagital HNP case, with p = 0,000 (p value 0,05). Cervical MRI examination with CLEAR aplication T2WI FSE produced the best image with the sum of the rank was 300,00 on the negative rank which showed that the image information without CLEAR aplication T2WI FSE lower than  image information with CLEAR aplication T2WI FSE.Conclusion: There were differences the anatomical image information between using CLEAR application and without CLEAR aplication on cervical MRI examination with T2WI FSE sagital HNP case.
Analisis Variasi Nilai Velocity Encoding (VENC) terhadap Informasi Anatomi Citra Magnetic Resonance Venography (MRV) Brain pada Modalitas MRI 3 Tesla Sugiyanto Sugiyanto; Ardi Soesilo Wibowo; I.G. Agung Brihaspaty Bhuana
Jurnal Imejing Diagnostik (JImeD) Vol 3, No 1: January 2017
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v3i1.3183

Abstract

Background: The imaging for vein vessels or Magnetic Resonance Venography (MRV) has own role and advantages on MRI examinations, specifically for evaluating intracranial blood vein circulation. MRV generally uses Phase Contrast (PC) method and  PC-MRV imaging, there is an  important parameter to be considered, its velocity encoding or VENC. VENC is selected before the examination and has to be adjusted  the anticipated blood flow velocity in the examined organs. The right selection of VENC will result in optimum intracranial vessels images and accurate diagnose. The aim of this study is to figure out if there is significant effect of VENC on anatomical information of brain MRV and to find out which VENC the best  intracranial veins demonstrates.Methods: This research was a quantitative study with quasi – experimental approach. Data were obtained from five healthy volunteers who were scanned by using a 3 Tesla MRI device in Radiology Department Siloam Lippo Village Hospitals. Each volunteer was scanned with five VENC variations: 10 cm/s, 15 cm/s, 20 cm/s, 25 cm/s, and 30 cm/s. The MRV images were assessed by two radiologist as the respondent. The Data were analyzed by simple linear regression test and Friedman test.Result: The results showed that there was significant effect of VENC on anatomical information of brain MRV, with significant value below 0,001 (p value 0,05). Mean rank on Friedman test showed that the best VENC to demonstrate intracranial veins was 25 cm/s.Conclution: There was a significant effect of VENC on anatomical information of brain MRV with the VENC of 25 cm/s gave the best image of intracranial veins in general.
Co-Authors Akhmad Haris Sulistiyadi Ardi Soesilo Wibowo Ari Suwondo Dea Febri Mardiyanti I.G. Agung Brihaspaty Bhuana Mohamad Irwan Katili Slamet Fujianto Yeti Kartikasari