Yeti Kartikasari, Yeti
Technic of Radiodiagnostic and Radiotherapy Department, Polytechnic Health Ministry of Semarang

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The Image Information Of Mri Brain In Axial Diffusion Weighted Image (Dwi) With Variation B Value In Ischemic Stroke Masrochah, Siti; Kartikasari, Yeti; Mahanani, Ayu
International Journal of Health Science and Technology Vol 2, No 1 (2020): Juli
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/ijhst.v2i1.1825

Abstract

The purpose of the research is to identify the differences between image information of MRI Brain in axial plane Diffusion Weighted Image (DWI) sequence and variation b value in case ischemic stroke, and to determine optimal b value in examination MRI Brain in case Ischemic Stroke. This research was a quantitative research with experimental approach. This research was done in Panti Rapih Hospital, Yogyakarta and used 8 ischemic stroke patients with 3 variasion b value (500s/mm2, 1000 s/mm2, 1500 s/mm2) and 3 radiologists as respondents. The data were analyzed using Friedman test. Result showed that there was difference between image information of MRI Brain in axial plane Diffusion Weighted Image (DWI) sequence and variation b value in case ischemic stroke with p0.05 which means there is a difference between Basal Ganglia, Cerebellum, and the border of the infarction. Meanwhile, Cortex Cerebri, Thalamus and Pons obtained no difference in image information and the optimal b value for MRI Brain examination of ischemic stroke 1500 s/mm2. Based on the result there was a difference  between image information of MRI Brain in axial plane Diffusion Weighted Image (DWI) sequence and variation b value in case ischemic stroke. Optimal value of variation b value for MRI Brain examination of ischemic stroke was 1500 s/mm2.
Factors that influence suffered of Low Back Pain (LBP) in MRI examination patients in Hospitals Semarang City Mulyati, Sri; Indrati, Rini; Kartikasari, Yeti; Ardiyanto, Jeffri
International Journal of Health Science and Technology Vol 1, No 2 (2019): November
Publisher : Universitas 'Aisyiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/ijhst.v1i2.1110

Abstract

Low back pain can be caused by a variety of musculosceletal diseases, psychological disorders and mobilization. Patients who performed MRI examinations were mostly caused by indications of Low Back Pain (LBP). LBP became an important problem in the United States, in Indonesia an estimated 40% of the population of Central Java aged over 65 years have suffered from low back pain, the prevalence in men is 18.2% and in women is 13.6%.  In recent years, Magnetic resonance imaging (MRI) has been used widely, including for diagnosis of LBP. This study aims to identify factors that affect the suffered of low back pain in patients undergoing an MRI examination which consists of personal factors covering : age, habits, smoking  exercise habits, height, obesity, and work factors (tenure, work duration). The research categorize as a quantitative research with cross-sectional design. This study used a sample of all cases of MRI examination with complaints of low back pain as many as 60 patients. Statistical tests using chi square and non-parametric Mann Whitney tests. From the results of the study found that those who suffer  of LBP are mostly from personal factors covering :  men, have jobs that have more burden (weight), more at the age of ≥ 35 years, no smoking, no exercise, height ≥ 163 cm, overweight / obesity, with tenure of ≥ 10 years, with a work duration ≥ 8 hours a day, and type of LBP suffered in the chronic categorized. The factors that caused LBP in this study were personal factors in the most dominant sequence is caused by age, smoking habits, exercise habits, height, BMI, tenure and work duration and type of LBP chronik.
VARIASI PENGGUNAAN REKONTRUSI ALGORITMA FBP, iDose4 DAN ITERATIVE MODEL RECONTRUCTION (IMR) TERHADAP KUALITAS CITRA MCST THORAK LOW DOSE UNTUK MENDETEKSI NODUL PARU Anikmah, Siti; Kartikasari, Yeti; Kurniawati, Ary
JRI (Jurnal Radiografer Indonesia) Vol. 3 No. 2 (2020)
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.335 KB) | DOI: 10.55451/jri.v3i2.72

Abstract

Background: Pulmonary nodules are often found accidentally when thorax imaging is done. The size and rate of nodule growth are the most important predictors of imaging for malignancy. When the low dose protocol applied to the thorax MSCT will affect image quality, such as increased noise and decreased spatial resolution, so that the detection of nodules becomes less accurate. For noise limitation the reconstruction of the FBP, iDose4 and IMR algorithm is used. The purpose of this literature study is to evaluate variations in the FBP, iDose4 and IMR algorithm in improving image quality. Methods: This method is a qualitative research with a descriptive approach using comprehensive literatures studies Results: The result show that noise reduction is highest at IMR and lowest at FBP. The highest number of detected nodules on IMR especially for solid nodules < 4 mm and the lowest on FBP. Pathological findings with the best quality on IMR and quality are limited to FBP. Visibility of normal and abnormal findings, iDose4 is better than IMR and FBP especially for reticular patterns. Effective doses are reduced by 44 % to 59 % based on this literature study. In clinical practice, IMR shows the potential for pathological recovery at low dose level and IMR can improved measured image quality based on noise, high contrast spatial resolution and low contrast detectability. Conclusion: So IMR is the most effective algorithm applied for scanning low dose MSCT thorax for detection of pulmonary nodules.