OPTIMASI KUALITAS CITRA RADIOGRAFI ABDOMEN BERDASARKAN BODY MASS INDEX DAN TEGANGAN TABUNG PADA COMPUTED RADIOGRAPHY

ROSIDAH, Siti and Suwondo, Ari and Adi, M. Sakundarno (2019) OPTIMASI KUALITAS CITRA RADIOGRAFI ABDOMEN BERDASARKAN BODY MASS INDEX DAN TEGANGAN TABUNG PADA COMPUTED RADIOGRAPHY. Masters thesis, School of Postgraduate.

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Abstract

Latar Belakang : Computed Radiography merupakan modalitas pengolahan citra radiografi yang memiliki latitude eksposi yang lebar. Sehingga dalam pemeriksaan radiografi dengan modalitas CR kurang memperhatikan ketepatan faktor eksposi khusunya pada pemakaian tegangan tabung yang dapat mempengaruhi kualitas citra. Kualitas citra sangat menentukan ketepatan diagnosa suatu penyakit. Pemeriksaan daerah abdomen sering dilakukan di instalasi radiologi RS, dengan kondisi pasien yang berbeda khususnya di Body Mass Index pemakaian tegangan tabung cenderung bervariasi sehingga berpengaruh terhadap kualitas radiograf maupun dosis yang diterima pasien Tujuan : Mengetahui hubungan pemakaian tegangan tabung dengan kualitas radiograf serta menentukan tegangan tabung yang tepat pada setiap kelompok Body Mass Index. Metode : Jenis penelitian ini adalah penelitian observasional analitik dengan rancangan penelitian cross sectional. Sampel pada penelitian berjumlah 108 yang terdistribusi pada setiap kelompok Body mass Index (underweight, normal, overweight) masing masing 36 sampel. Setiap kelompok body mass index sampel diambil dari pemakaian tegangan tabung yang sering digunakan di RS 75 kV, 80kV, 85 kV dan 90 kV masing masing sebanyak 9. Penilaian meliputi nilai index exposure, Noise dan informasi anatomi. Analisis data secara statistik dengan uji spearman dan analisis dari uji univariat Hasil : Terdapat hubungan yang signifikan antara pemakaian tegangan tabung dengan Exposure index, noise dan citra anatomi. Kesimpulan : Tegangan tabung optimun dengan pengolahan digital computed radiography carestream pada 25mAs untuk Body Mass index Underweight 75 kV, BMI normal 80 kV dan BMI overweight 85 kV Kata Kunci : Computed radiography, tegangan tabung, Body Mass Index Background: Computed Radiography is a modality of radiographic processing that has wide-exposure latitude. So that in radiographic examination with CR modality is less concerned with the accuracy of the exposure factor especially in the use of tube voltage that can affect the image quality. Image quality determines the accuracy of diagnosis of an illness. Abdominal examination is often done in the radiological installation of RS, with different patient conditions especially in Body Mass Index the use of tube voltages tends to vary so as to affect the quality of radiograph and received dose Patients Objective : Knowing the use of cylinder voltage connection with radiograph quality and determining precise tube voltage in each Body Mass Index group. Research Method: This type of research is analytical observational research with cross sectional research draft. Samples in research amounted to 108 distributed in each group of Body mass Index (underweight, normal, overweight) respectively 36 samples. Each body mass index group sample is taken from the use of tube voltages that are often used in RS 75 kV, 80kV, 85 kV and 90 kV respectively as much as 9. Assessments include the value of the exposure index, Noise and anatomical information. Statistical data analysis with Spearman test and univariat The Results: There is a significant connection between the use of cylinder voltage with an index exposure, noise and anatomical imagery The Conclusion: Optimised tube voltage for Body Mass index Under 75 kV, normal BMI 80 kV and BMI over 85 kV Keywords: Computed radiography, tube voltage, Body Mass Index.

Item Type:Thesis (Masters)
Uncontrolled Keywords:Computed radiography, tegangan tabung, Body Mass Index
Subjects:R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions:School of Postgraduate > Master Program in Epidemiology
ID Code:81906
Deposited By:INVALID USER
Deposited On:25 Nov 2020 14:29
Last Modified:25 Nov 2020 14:29

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