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Journal : Journal of Applied Health Management and Technology

DEVELOPMENT OF TOOLS OF THE X-RAY COLLIMATOR (DEV-X) I Made Lana Prasetya; Hari Santoso; Gatot Murti Wibowo
Journal of Applied Health Management and Technology Vol 2, No 4 (2020): October 2020
Publisher : Politeknik Kesehatan Kementerian Kesehatan Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.328 KB) | DOI: 10.31983/jahmt.v2i4.6386

Abstract

Background: Technological developments, especially in the field of radiology, is growing rapidly. The radiology quality assurance system has also developed, one of which is the Collimator Test Tools. The method of testing x-ray beams using this tool has also been developed, such as using film and using IP. However, the development of this method has a drawback, namely that the examiner is required to have special skills in image post-processing. The development of Collimator Test Tools by utilizing the nature of x-rays which causes certain substances such as calcium tungstate or zinc sulfide to glow light (luminance) has been done a lot, but there is no study of these products. Therefore, the researcher wants to develop a product by designing a Collimator test tool based on digital image analysis technology (Dev-X) and a digital camera with Android-based calculations on a wirelessly connected smartphone as an update of the testing method. Objective: To create a collimator test tool for x-ray machines based on digital image analysis technology (Dev-X). Methods: This is a research experiment with a posttest group only design type. Research Location at the Radiology Laboratory of the Radiodiagnostic and Radiotherapy Engineering Academy (ATRO) Bali. Result: Functional Test of Dev-X Products (hardware and software), all components function properly. However, it cannot be assessed significantly from statistical results. Conclusion: The creation and proper functioning of hardware and software tools collimator test tool Dev-Xon android smartphone and show the calculation results of the x-ray beam automatically.    
PERFORMANCE TEST OF MAGNETIC RESONANCE IMAGING MACHINE 0,35 TESLA AT KASIH IBU HOSPITAL SABA Purnama Dewi, Gusti Agung Putu Adhinta; Prasetya, I Made Lana; Sugiantara, I Wayan Ariec
Journal of Applied Health Management and Technology Vol 6, No 2 (2024): October 2024
Publisher : Politeknik Kesehatan Kementerian Kesehatan Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jahmt.v6i2.11947

Abstract

Background: This research on the performance testing of the Magnetic Resonance Imaging (MRI) machine was conducted using performance tests on three different parameters at Kasih Ibu Hospital Saba. This research aims to determine the performance of the MRI machine at Kasih Ibu Hospital Saba in Bali Province and establish baseline data for future testing. Method: This type of research is quantitative and uses a survey approach. The tools and materials used in this study are a 0.35 Tesla MRI machine, an ACR phantom, and a head coil. Data were collected by conducting nine MRI performance testing procedures using the ACR (2015) guidelines and then analyzed using international standards issued by ACR (2015). Result: In the visual checklist testing, all observed parameters were over 30 days and functioned well, For the Artifact Evaluation test, the author evaluated all scanned images and found no artifacts. The author analyzed the measurements from the first slice of T1W and T2W images for the Slice Thickness Accuracy test. The measurement results for the T1W image were 4.6mm, and for the T2W image, they were 5.57mm. The Slice Thickness Accuracy testing standard set by ACR in 2015 is 5mm ± 0.7mm. Therefore, based on the measurement results from the T1W and T2W images, the MRI machine at Kasih Ibu Saba Hospital meets the established international standards. Conclusion: Based on the results of the visual checklist test, the following results were obtained: all parameters on the visual checklist functioned well during the 30-day observation. Meanwhile, the two tests conducted with the phantom on the MRI machine at Kasih Ibu Hospital Saba the following results are: the artifact evaluation test and the slice thickness accuracy test met the international standards set by ACR in 2015.
PERFORMANCE TEST OF MAGNETIC RESONANCE IMAGING MACHINE 0,35 TESLA AT KASIH IBU HOSPITAL SABA Purnama Dewi, Gusti Agung Putu Adhinta; Prasetya, I Made Lana; Sugiantara, I Wayan Ariec
Journal of Applied Health Management and Technology Vol. 6 No. 2 (2024): October 2024
Publisher : Postgraduate Program , Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jahmt.v6i2.11947

Abstract

Background: This research on the performance testing of the Magnetic Resonance Imaging (MRI) machine was conducted using performance tests on three different parameters at Kasih Ibu Hospital Saba. This research aims to determine the performance of the MRI machine at Kasih Ibu Hospital Saba in Bali Province and establish baseline data for future testing. Method: This type of research is quantitative and uses a survey approach. The tools and materials used in this study are a 0.35 Tesla MRI machine, an ACR phantom, and a head coil. Data were collected by conducting nine MRI performance testing procedures using the ACR (2015) guidelines and then analyzed using international standards issued by ACR (2015). Result: In the visual checklist testing, all observed parameters were over 30 days and functioned well, For the Artifact Evaluation test, the author evaluated all scanned images and found no artifacts. The author analyzed the measurements from the first slice of T1W and T2W images for the Slice Thickness Accuracy test. The measurement results for the T1W image were 4.6mm, and for the T2W image, they were 5.57mm. The Slice Thickness Accuracy testing standard set by ACR in 2015 is 5mm ± 0.7mm. Therefore, based on the measurement results from the T1W and T2W images, the MRI machine at Kasih Ibu Saba Hospital meets the established international standards. Conclusion: Based on the results of the visual checklist test, the following results were obtained: all parameters on the visual checklist functioned well during the 30-day observation. Meanwhile, the two tests conducted with the phantom on the MRI machine at Kasih Ibu Hospital Saba the following results are: the artifact evaluation test and the slice thickness accuracy test met the international standards set by ACR in 2015.
Co-Authors AA. Aris Diartama Alan Pratama Ameliya Widya Astuti Cokorda Istri Emi Dwiyanti Cory Amelia Dharma Laksmi, Made Ayu Dharmawan, Bagus Gede Diartama, A.A Aris Diartama, AA. Aris Dirza Sudirman, Zulfa Dunantiko, Hendri Dwi Putra, Geovani Ega Evhal Yulianus Fasya Enjelika Unmehopa Gatot Murti Wibowo Gede Dharma Putra Hari Santoso Hariani, Ida Ayu Sutresna Hasan, Andi Fitrianti Hascaryo, Dwi HENDRA SETIAWAN I Bagus Gede Dharmawan I Kadek Sukadana I Kedek Sukadana I Made Adhi Mahendrayana I Made Adhi Mahendrayana I Putu Eka Juliantara I Putu Juli Arthana I Putu Sugiartha I Wayan Ariec Sugiantara I Wayan Ariec Sugiantara Iman Nuriman Intan Lesmanasari Juliasa, I Wayan Kusman Kusman Kusman Kusman Kusman, Kusman Luh Eka Aza Pratiwi Mahendrayana, I Made Adhi Mahendrayana, I Made Adi Miftahul Haq Mughnie, Burlian Muh Anas Muh Anas Muh Anas, Muh Anas Nadra Nandika A.J Mokoagow Nelce Silvia Panggaliau Ni Putu Rita Jeniyanthi Novinda Syamantha Djawa Prita Prita Prita, Prita Purnama Dewi, Gusti Agung Putu Adhinta Putra, Gede Pramana Rafa Zenitha Azzahra Rahmat widodo Restiana, Restiana Retno Laksmi Faraningrum Retno Laksmi Faraningrum Rifaldi Mokodenseho Rorong, Fabrizio Alessandro Ruvinaningsih, Putri Salsabila, Nabilah Santo Aloya Dearta Saragih Sari Widari, Ni Luh Putu Sastrawan, I Putu Manik Satria Mahendra, I Dewa Gede Serly Olivia Natalia Dato Siagian, Mega Krisna Sianturi, Amser Sunarto Sugiantara, I Wayan Ariec Suhariadi Atmanta Sujuddi, Dimas Irfanuary Eka Sukadana, I Kedek Supriyani, Nyoman Susanta, I Putu Adi Susanta, Putu Adi Taufani, Maria Selania Teguh Hariyanto Tri Asih Budiati Triningsih Triningsih Triningsih Triningsih Tri Asih Budiarti Valeria Alex Wahyu Jaya Andre Saputra Wijaya, Nyoman Moga Willa, Dhea Charmelita Wulandari, Putu Irma Yulianus, Evhal Zenitha Azzahra, Rafa Zul Fikra