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Aris Santjaka
Postgraduate Imaging Diagnostic Program, Semarang Health Polytechnic, Semarang, Indonesia
Education Health Professions Medicine & Pharmacology Nursing Public Health

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THORAX MULTI-SLICE COMPUTER TOMOGRAPHY (MSCT) EXAMINATION TECHNIQUE IN THE CASE OF MEDIASTINUM TUMOR AT RADIOLOGY INSTALATION OF SEMARANG DISTRICT GENERAL HOSPITAL Ike Mayasari; Hermina Sukmaningtyas; Ardi Soesilo Wibowo; Aris Santjaka; M. Choerul Anwar; Leny Latifah
Proceedings of the International Conference on Applied Science and Health No. 1 (2017)
Publisher : Yayasan Aliansi Cendekiawan Indonesia Thailand (Indonesian Scholars' Alliance)

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Background: Thorax Multi-slice computer tomography (MSCT) scan examination requires contrast medium to image the difference in density with the surrounding tissue. The contrast images is largely determined by the volume of contrast, injection rate and injection methods. Thorax CT scan is performed by slice thickness of 5-10 mm. Meanwhile, it should use the routine slice thickness of 10 mm. Slice thickness of 8-10 mm of coronal and sagittal images require reconstruction by thin slices of 1-1.5 mm and subsequently by applying 3D. Aims: This is to analyse the volume of contrast and slice thickness used in the examination of tumor mediastinum by thorax MSCT examination. Methods: This research used descriptive qualitative design with case study approach, described and explained systematically, related to the procedure of Thorax MSCT examination technique in the case of mediastinum tumor with 3 samples of 3 patient and assessment performed by three radiologist as respondents. Results: This study indicates the success of the use of proper contrast of 80 cc and slice thickness of 2-3 mm to observe lesions of mediastinal tumor. Conclusion: Thorax MSCT examination in the case of mediastinum tumor should use contrast 80 cc and slice thickness of 2-3 mm to observe lesions of mediastinal tumor and coronal and sagittal axial slices, because the sagittal slice can show the lymphadenopathy enlargement so that the mediastinum tumor is clearly visible. The print out or filming results should be included the MPR or 3D to show the presence or absence of bone destruction and metastases.
OPTIMIZATION OF R-FACTOR AT GRAPPA PARALLEL ACQUISITION TECHNIQUE ON THE IMAGE INFORMATION T2 AXIAL BRAIN MRI Saifudin Saifudin; Hermina Sukmaningtyas; Rini Indrati; Aris Santjaka
Proceedings of the International Conference on Applied Science and Health No. 1 (2017)
Publisher : Yayasan Aliansi Cendekiawan Indonesia Thailand (Indonesian Scholars' Alliance)

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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.
THE DESIGN OF RADIOLOGY VIEWING BOX USING POTENTIOMETER SYSTEM Anak Agung Aris Diartama; Susy Suswaty; Win Priantoro; Sudiyono Sudiyono; Sugiyanto Sugiyanto; Muhammad Choiroel Anwar; Leny Latifah; Aris Santjaka; Faisal Amri; Donny Kristanto Mulyantoro
Proceedings of the International Conference on Applied Science and Health No. 1 (2017)
Publisher : Yayasan Aliansi Cendekiawan Indonesia Thailand (Indonesian Scholars' Alliance)

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Background: In the process of work to gain the maximum results, a radiologist needs a viewing box tool to read radiographs. Aims: to create a viewing box tool by using a potentiometer system. Methods: This study used applied research method by creating and using the design of viewing ox tool by using a potentiometer system and testing the viewing box tool created by using a Lux meter and 15 respondents consisting of five radiologists and 10 radiographers who should fulfill the questionnaire form. Results: The mean of viewing box illumination reached 220 lux. The results of the questionnaire showed that 100% radiologist gave an A (excellent) and expressed that the viewing box tool created could be used properly and 90% radiographers provided an A (excellent) and expressed that the viewing box tool created could be used properly, while 10% radiographer gave a value ofB (moderate). Conclusion: viewing box tool created could be used properly and obtained optimal results as a tool in reading radiographs. Potentiometer system contained in the viewing box was very helpful in reading radiographs because it allowed to adjust the light intensity according to user needs.
Co-Authors Anak Agung Aris Diartama Ardi Soesilo Wibowo Donny Kristanto Mulyantoro Faisal Amri Hermina Sukmaningtyas Hermina Sukmaningtyas Ike Mayasari Leny Latifah M. Choerul Anwar M. Choiroel Anwar Rini Indrati Saifudin Saifudin Sudiyono Sudiyono Sugiyanto Sugiyanto Susy Suswaty Win Priantoro