Earticle

초록

영어

A hypothesis was set up that there is an exponential change of image quality according to the patient's body fat thickness and contrast iodine content in the CT scan, but that there must be a certain saturation section. A method to reduce the side effects of the patients was analyzed through experiments while maintaining diagnostic value by using a contrast agent with low iodine content in the saturation region based on the previous studies where patients' side effects increased as the iodine content got higher. The soft algorithm was applied to CT scanner (120 kVp, 200 mAs, 5 ㎜ slice) to change phantom fat thickness (0, 2, 3.5, 5 ㎝) and contrast iodine content (300, 320, 350, 370 ㎎) followed by 10 scans for each condition. The images obtained by the experiment were analyzed by using the image analyzer (Image J). After setting the area of interest in the liver, the contrast medium and surrounding area, the mean and standard deviation were measured, the SNR and CNR results obtained through which were analyzed statistically (SPSS.) and the significance was verified. Contrast agent SNR and CNR were not significantly different between 300 ㎎ and 320 ㎎ (p=0.36), and 350 ㎎ and 370 ㎎ (p=0.15) of contrast content for the fat thickness of 0 ㎝; there was no difference between 300 ㎎ and 320 ㎎ (p=0.11) for 2 ㎝ but there was a difference between 350 ㎎ and 370 ㎎ (p>0.00). There was no effect of contrast agent on liver SNR (p>0.05), and the SNR by fat thickness decreased exponentially. There was a significant difference in CNR for both fat thickness and contrast agent content (p<0.00). The use of 300 ㎎ of contrast medium in the case of dry or obese patients or 350 ㎎ for the effect of contrast media can reduce the adverse effects of the patients and obtain images of diagnostic value. In addition, various contents of contrast medium can be selectively used in patients with normal body shape.

목차

Abstract
Ⅰ. 서론
Ⅱ. 실험재료 및 방법
2.1 실험기기 및 재료
2.2 실험방법
Ⅲ. 결과
3.1 조영제SNR
3.3 CNR
Ⅳ. 고찰
Ⅴ. 결론
ⅤI. 참고문헌

키워드

저자

• 임종천 [ Jong-Cheon Lim | 한양대학교 의료원 영상의학과 ]
• 김태헌 [ Tae-Heon Kim | 대구보건대학교 방사선과 ]
• 전성혁 [ Seong-Hyuk Jeon | 대구보건대학교 방사선과 ]
• 김정수 [ Jung-Soo Kim | 대구보건대학교 방사선과 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한디지털의료영상학회논문지 [Korean Journal of Digital Imaging in Medicine]

• 간기

  연3회

• pISSN

  1976-7641

• 수록기간

  1995~2025

• 십진분류

  KDC 510 DDC 610