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All Journal Jurnal Imejing Diagnostik Jurnal Radiografer Indonesia
Kurniawati, Ary
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Health Professions Medicine & Pharmacology

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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.
Analisis Citra Virtual Non Contrast (VNC) Sebagai Alternatif Pengganti Citra True Non Contrast (TNC) Pada Pemeriksaan Ct Scan Abdomen Endriasari, Endriasari; Kurniawati, Ary; Masrochah, Siti
Jurnal Imejing Diagnostik (JImeD) Vol 11, No 2 (2025): JULY 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v11i2.13401

Abstract

Background: Multiphase abdominal CT is a radiological imaging procedure using contrast media to detect abnormalities or diseases of internal abdominal organs. The development of Dual Energy CT (DECT) technology, particularly the liver VNC feature, enables the reconstruction of virtual non-contrast (VNC) images from post-contrast data, potentially eliminating the need for a true non-contrast (TNC) phase. This study aims to analyze anatomical information differences between TNC and VNC images and determine the most optimal image type for detecting abdominal masses.Methods: This research employed a quantitative experimental approach involving 10 patients who underwent multiphase abdominal CT at RSPAU Dr. Suhardi Hardjolukito. Comparative anatomical data between TNC and VNC images were evaluated by two radiology specialists. Inter-rater agreement was assessed using Cohen’s Kappa test, while the Wilcoxon test was used to analyze image information differences. To identify the most optimal anatomical image, the mean ranks of TNC and VNC were compared.Results: The results showed no significant anatomical information difference between VNC and TNC images in evaluating abdominal parenchyma, lesions, and vascularization, with a p-value of 0.083. In terms of mean rank, VNC had a value of 1.00, while TNC had 0.00, categorized as negative ranks, indicating that VNC was rated lower than TNC. Thus, the TNC algorithm is considered superior to VNC, even though most data showed no difference between the two image types.Conclusion: VNC images may serve as an alternative to TNC in multiphase abdominal CT, especially for abdominal mass cases. Future research is recommended to incorporate Hounsfield Unit (HU) and noise analysis and to consider integrating the VNC feature into dual-energy CT protocols.
Co-Authors Anikmah, Siti Endriasari, Endriasari Siti Masrochah Yeti Kartikasari, Yeti