PERANAN PENGGUNAAN ITERATIVE RECONSTRUCTION (IR) TERHADAP KUALITAS CITRA DAN DOSIS RADIASI PADA PEMERIKSAAN MSCT THORAX

Multi Slice Computed Tomography (MSCT) examination of the thorax has an important role in establishing the diagnosis, but the radiation dose that produced is too high. Iterative Reconstruction(IR) is coming up as a potential alternative that can reduce the radiation dose in thorax MSCT. There are difference in the results between examinations using the IR algorithm and examinations that do not use the IR algorithm where the IR algorithm is able to maintain good image quality even though it is carried out using a low exposure factor. The purpose of this study was to determine the role of IR in improving image quality and decreasing radiation dose in the thorax MSCT examination.The type of research is a descriptive study with a literature review approach by collecting and identifying articles from Google Scholar, PubMed, and Science Direct. Keywords that used are MSCT thorax, reconstruction algorithm, and iterative reconstruction. The selection of articles was determined according to the inclusion criteria and the results were as many as seven articles which used as a data source.The results showed that the use of IR in the thorax MSCT examination was able to improve image quality. IR is able to significantly reduce noise and avoid the appearance of artifacts in the image. When the result of noise decreases, the resulting Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR) will increase. So that it can visualize various pathologies, such as solid nodules, tumors, and cancer. Then, IR does not directly reduce the dose. The dose reduction occurs due to the use of a low exposure factor, so that the resulting dose is reduced with good image quality. In conclusion, the use of iterative reconstruction in the MSCT thorax examination can improve the quality of the resulting image, but it does not directly contribute to reducing the radiation dose produced