TY - GEN
T1 - Contrast-enhanced Based on Abdominal Kernels for CT Image Noise Reduction
AU - Yunardi, Riky Tri
AU - Istiqomah, Qurratul
AU - Latifah, Risalatul
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - In the medical image applications, computed tomography (CT) images can be used for visualizing the image of abdominal (belly). It was from exposes of radiation dose in which the noise is relatively high. Contrast-enhanced is the digital manipulating carried out to increase the contrast and eliminate the noise in digital imaging. In this paper, an analysis of contrast-enhanced based on abdominal kernels in CT has been presented. Images were reconstructed consists of five kernels for CT abdomen using B20s, B31s, B35s, B41s, and B46s on CT Scan Siemens SOMATOM Emotion 16 Slice. The data were analyzed by using the signal-To-noise ratio (PSNR), root mean square error (RMSE) and maximum absolute error (MAE) which is used to compare each kernel on CT images. Therefore, the selection of the appropriate kernel can reduce noise and improve the contrast to optimize the quality of the CT images to determine the early diagnosis.
AB - In the medical image applications, computed tomography (CT) images can be used for visualizing the image of abdominal (belly). It was from exposes of radiation dose in which the noise is relatively high. Contrast-enhanced is the digital manipulating carried out to increase the contrast and eliminate the noise in digital imaging. In this paper, an analysis of contrast-enhanced based on abdominal kernels in CT has been presented. Images were reconstructed consists of five kernels for CT abdomen using B20s, B31s, B35s, B41s, and B46s on CT Scan Siemens SOMATOM Emotion 16 Slice. The data were analyzed by using the signal-To-noise ratio (PSNR), root mean square error (RMSE) and maximum absolute error (MAE) which is used to compare each kernel on CT images. Therefore, the selection of the appropriate kernel can reduce noise and improve the contrast to optimize the quality of the CT images to determine the early diagnosis.
KW - Contrast-enhanced
KW - abdominal kernel
KW - computed tomography image
KW - noise
UR - http://www.scopus.com/inward/record.url?scp=85073164199&partnerID=8YFLogxK
U2 - 10.1109/ICAIIT.2019.8834645
DO - 10.1109/ICAIIT.2019.8834645
M3 - Conference contribution
AN - SCOPUS:85073164199
T3 - Proceeding - 2019 International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019
SP - 293
EP - 296
BT - Proceeding - 2019 International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019
Y2 - 13 March 2019 through 15 March 2019
ER -