Gatot Murti Wibowo
Poltekkes Kemenkes Semarang

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Journal : Jurnal Imejing Diagnostik

PERFOMANCE TEST OF MRI MACHINES IN THE PROVINCE OF BALI Gusti Bagus Yudhi Jaya Putra Atmaja; Gatot Murti Wibowo; Bagus Abimanyu
Jurnal Imejing Diagnostik (JImeD) Vol 4, No 2: July 2018
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v4i2.4000

Abstract

Backgroud: The research of performance test of MRI machines were done by doing performance test of nine different parameters in three hospitals in the province of Bali, where in two of these three hospitals are having troubled MRI machines which directly affected the image quality and therefore this research is also aimed to find out the performance of MRI machines in some hospitals in the province of Bali and intended as a baseline data if there will another test.Methods: This research is a quantitative study with survey approach. The tools and materials for this research were three MRI machines, which was consisted of two 1,5 Tesla machines and a 0,3 Tesla machine, phantom ACR, and MRI head coil. The data were collected by doing nine MRI performance testing procedures with ACR (2015) as a guideline and then the data were analyzed using international standards issued by ACR (2015).Results: Visual checklist test result of all the hospitals get 12 pass every day from the first day to the twentieth day. SNR test in Badung Regional General Hospital obtain measurement results of 268.17 and in The Board Of Tabanan General Hospital at 15.78 and at Sanglah Central General Hospital of 2.4. To test the artifact analysis only in The Board Of Tabanan General Hospital only found one type of artifact is the artifact geometric distortion. In testing the high contrast resolution in Sanglah Central General Hospital and Badung Regional General Hospital get the same result, namely insert a separate resolution of up to a third group, and the The Board Of Tabanan General Hospital insert a separate resolution to the second group. The test results in low contrast resolution Sanglah Central General Hospital and Badung Regional General Hospital get the same result, namely that there are 10 spokes are visible, then the The Board Of Tabanan General Hospital number of spokes that appear are 9 spokes. In testing the slice thickness accuracy in Sanglah Central General Hospital get the standard deviation of measurement of 5.12mm and in Badung Regional General Hospital get the standard deviation and the measurement of 0.64mm in The Board Of Tabanan General Hospital get the standard deviation of measurement of 0.48mm. Results of the geometric accuracy test in The Board Of Tabanan General Hospital has a difference measurement of 4.2mm X axis, Y-axis of 1.3mm, and has no difference in the Z-axis, in Badung Regional General Hospital has a difference of X-axis measurement of -3.1mm, have no difference in the Y axis the Z axis of 2mm, in Sanglah Central General Hospital has a difference measurement of 1.36mm X axis, Y-axis and Z-axis of 0.39mm for -3.53mm. The test results slice position accuracy in Sanglah Central General Hospital get the standard deviation measurements for -1.33mm, in The Board Of Tabanan General Hospital of 0.85mm, and in Badung Regional General Hospital of -0.3mm. For the test setup and table position accuracy throughout the hospital to get the same measurement is 5mm.Conclusion: Out of nine parameters in the test : only four parameters, which were high contrast resolution test, low contrast resolution test, slice position accuracy test, and setup and table position accuracy test, that met the international standards in all hospitals, whereas all the hospital didn’t meet the international standards in geometric accuracy test. There were two hospitals that didn’t meet the international standards in signal to noise ratio test, while one hospital didn’t meet the standards in artifact analysis test and slice thickness accuracy test.
DIFFERENCES OF ACCELERATION FACTOR APPLICATION TOWARD CHARACTERISTICS OF DIAGNOSTIC IMAGE T2WI FSE IN MRI LUMBAL HERNIATED NUCLEUS PULOSUS (HNP)CASE Ildsa Maulidya; Gatot Murti Wibowo; Emi Murniati
Jurnal Imejing Diagnostik (JImeD) Vol 4, No 2: July 2018
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v4i2.4005

Abstract

Background : Patients with HNP cases have a bigger chance to do a movement during MRI examination, and it causes poor MRI image. Quick time of MRI examination is needed to produce an optimal image. The technique of parallel imaging is a technique that can increase the speed of MRI data acquisition by passing through several lines of phase encoding in k-space. The GRAPPA technique is one of the methods used to reconstruct data on MRI parallel imaging techniques with better overall image quality. The technique of parallel imaging has a special parameter called acceleration factor. Acceleration factor (R-factor) will affect scan time. The purpose of this research is to know the difference of diagnostic image characteristic which is resulted in applying acceleration factor 2, 3 and 4 in parallel imaging of GRAPPA method and know the optimal acceleration factor to obtain MRI image of lumbar HNP case.Methods : This research type is quantitative research with descriptive approach. The study was conducted by MRI Siemens 3 T in RSUD Dr. Soedono Madiun. The data were 30 MRI images of lumbar sagittal of HNP cases on T2WI FSE with acceleration factor 2, 3 and 4 GRAPPA methodsResult : The results of this study indicate that there are differences in diagnostic image characteristics in the application of acceleration factor 2 and 4, 3 and 4 with VGA test. Acceleration factor value optimal with VGC test known is acceleration factor 2 and 3Conclusion : Based on the result there was differencediagnostic image characteristics of MRI Lumbar in sagital plane Fast Spin Echo (FSE)sequence with variation acceleration factor 2, 3 and 4 parallel imaging GRAPPA methode in case Herniated Nucleus Pulposus (HN0). Optimal value of variation acceleration factor value for MRI Lumbar examination of Heniated Nucleus Pulposus (HNP) is 2 dan 3.
PERBEDAAN HASIL GAMBARAN FASE NON DELAY DENGAN FASE DELAY DI AREA BLADDER PADA PEMERIKSAAN PET/CT Dimas Prakoso; Ratianto Ratianto; Gatot Murti Wibowo
Jurnal Imejing Diagnostik (JImeD) Vol 5, No 2: July 2019
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v5i2.4405

Abstract

Background : PET/CT examination is an examination performed by injection of a radiopharmaceutical that consist of 18F-FDG which given intravenously to evaluate lesions in whole body. However, some PET/CT examination  using delay phase for certain pathologies and if the doctor unsure about the resultiong image. This study peform the difference image in quantitative of PET/CT examination between non delay phase and delay phase in area bladder and surrounding.Methods : The type of  research conducted is quantitatif  research with a case study approach, the research that provides a detail description of the actual situation in the hospital. Subjects in the form of radiographers, nuclear medicine specialist, and scientific literature and objects are images of non delay and delay phase PET/CT in the bladder area. Data is taken by observation, interview, and documentation.Results : Assessment image of PET/CT using the value of SUV by ROI on several organ such us the baldder, rectum, ileum, and sacrum. In the non delay and delay phase, the value of the SUV was compared and the result on rectum area was increased, in other organ such as the bladder, ileum, and sacrum the value of SUV was decreased.Conclutions : The difference of image between non delay and delay phase can be seen from the value of SUV organ. SUV value can high in the bladder area because of the accumulation of FDG and scanning from the head so when scanning the pelvis value of SUV is high and can infuluence the image of surrounding organs. 
Perbandingan Pegukuran Volume Tumor Brain MRI Menggunakan Teknik Manual Dan Metode Active Contour Maizza Nadia Putri; Irwan Katili; Ahmad Hariri; Tri Asih Budiarti; Gatot Murti Wibowo
Jurnal Imejing Diagnostik (JImeD) Vol 7, No 2: JULY 2021
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v7i2.7474

Abstract

Background: A brain tumor is a mass of brain cells that grow abnormally. In radiological terms, a brain tumor is called a space occupying lesion (SOL) which generally means a lump. Radiologists or radiology specialists in identifying brain tumors will analyze the results of Magnetic Resonance Imaging (MRI) Brain images with post-processing techniques using a menu in a 3D editor called the region growing technique.Methods:This type of research is a quasi-experimental research design using Posttest Only Without Control Group Design. The research plan will be carried out at Hermina Hospital Bekasi using 32 samples of brain tumor MRI images, the sample size is obtained by the sample size formula for two paired populations according to Sastroasmoro (2011). Bivariate data analysis, if the data is normally distributed (p value 0.05), then the Paired T-test statistical test is performed and if the data is not normally distributed (p value 0.05) the Wilcoxon statistical test is performed.Results: The results of the analysis of brain tumors are followed by manual measurement of tumor volume using the region growing technique. It requires sufficient expertise and experience so that the diagnosis of tumor volume is given precisely and accurately so that its handling can be carried out wisely Evaluation of MRI images requires high accuracy, but doctors can make mistakes because the diagnosis is still done manually, such as errors in diagnosing the location of the tumor and the size of the object. The very complex structure of the human brain also presents its own difficulties in identifying brain tumors. Subjective factors can also affect manual doctor evaluations such as fatigue and uncontrolled time in evaluating an MRI image so that a digital image processing program is needed that can be done with a computational machine to assist doctors in evaluating an MRI image automatically. The active contour method can solve the problem of topological changes in a brain tumor image.Conclusion: The active contour method is able to classify images with high accuracy. So that it can increase the accuracy of the segmentation process for easy and fast medical diagnosis. The calculation of the volume of brain tumors can be done using the binaryization method which has been segmented through the final image produced by the active contour method. Tumor segmentation and automatic tumor volume calculation have great potential in clinical treatment by freeing doctors from the burden of manual labeling, digital image processing of brain tumors using the active contour method can be used as a complement to the MRI modality that radiologists can use in calculating brain tumor mass volume calculations