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All Journal Jurnal Ilmiah Kesehatan Sandi Husada
Mira Maya Kumala
Program Studi Sarjana Terapan Teknologi Radiologi Pencitraan, Politeknik Sandi Karsa, Sulawesi Selatan, Indonesia
Health Professions Nursing Public Health

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Optimization of cardiac CT angiography scistole phase image quality in the right coronary artery with helical segment snapshot method using adaptive statistical iterative reconstruction (ASIR) and temporal resolution enhancement Akhirida Putri; Mira Maya Kumala
Jurnal Ilmiah Kesehatan Sandi Husada Vol 11 No 2 (2022): Jurnal Ilmiah Kesehatan Sandi Husada
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Akademi Keperawatan Sandi Karsa (Merger) Politeknik Sandi Karsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35816/jiskh.v11i2.1236

Abstract

Optimization of image quality in Cardiac CT Angiography (CCTA) is important for accurate evaluation of the right coronary artery (RCA). This study evaluates the effects of Adaptive Statistical Iterative Reconstruction (ASIR) and Temporal Resolution Enhancement on the image quality of the RCA sistole phase using the helical segment snapshot method. The study involved 10 patients with 40% ASIR reconstruction, 70% ASIR and 70% ASIR + Temporal Resolution Enhancement. Quantitative analysis showed that increasing ASIR levels significantly reduced noise and increased Signal-to-Noise Ratio (SNR). However, the sharpness of ASIR image is 40% higher than ASIR 70% (p < 0.05). The addition of Temporal Resolution Enhancement significantly increased the sharpness of ASIR images by 70% (mean score 4.4; p < 0.05). In conclusion, Temporal Resolution Enhancement effectively optimizes the quality of RCA images in the systole phase, supporting its use in CCTA techniques.
Co-Authors Akhirida Putri