Earticle

초록

영어

This study intends to investigate the usefulness of the CS technique by quantitatively and qualitatively analyzing the values of SNR and CNR. A total of 30 MRI patients transferred to PACS were randomly selected and applied to this study. As the equipment used for data analysis, Ingenia CX and Archieva 3.0T and TSE sequence were used as the pulse sequence, and a dStream Torso Cardiac coil was used. As a quantitative analysis method, a certain ROI was set for each CBD, CHD, CD, Pancreas, LHD, and RHD tissue in the SENSE technique image and the compressed SENSE image, and SNR and CNR were evaluated. For qualitative analysis, image sharpness, overall image quality, and motion artifact quality were measured on a 5-point scale. The statistical significance of this data analysis was used in the paired t-test and the Wilcoxon Signed Rank test, and when the p value was less than 0.05, it was considered significant. As a result of quantitative evaluation of this experiment, when the SENSE method image and the compressed SENSE method image were compared, the mean SNR (25.60 ± 4.16) and CNR (38.12 ± 3.77) for the CS image were the mean SNR (9.99 ± 4.07) and CNR of the SENSE image. (10.95 ± 6.00), it was confirmed that the result was higher(p<0.05). As a result of qualitative evaluation, when measured on a 5-point scale, the CS technique was (Overall image quality:4.45 ± 0.41), (Sharpness of duct:4.77 ± 0.29), and (Motion artifact:4.57 ± 0.18), respectively, and the SENSE technique obtained (Overall image quality:2.94 ± 0.43), (Sharpness of duct:2.03 ± 0.12), and (Motion artifact:3.98 ± 0.25)points, respectively, and the CS technique obtained a higher score(p<0.05). In conclusion, as a result of data analysis on images of both techniques, CS was higher in both quantitative and qualitative evaluations. Therefore, it can be seen that the CS technique is better than the SENSE technique as a technique using the MRCP technique.

한국어

본 연구는 CS기법의 유용성을 SNR과 CNR의 값을 비교하여 정량적, 정성적으로 분석하여 알아보고자 한다. 총 30명 의 PACS로 전송된 MRI검사 환자를 무작위 선택하여 본 연구에 적용하였다. 데이터 분석에서 다룬 장비로는 IngeniaCX, Archieva3.0T와 Pulse Sequence로는 TSE Sequence를 이용하였고, dStream Torso Cardiac coil을 사용하였다. 정량적 분석 방법으로 SENSE기법 영상과 Compressed SENSE 영상에서 각 CBD, CHD, CD, PD, LHD, RHD의 조직에 대하여 일정한 ROI를 설정하고 SNR과 CNR을 평가하였다. 정성적 분석으로는 영상의 선예도, 영상의 전반적 화질, 운동 인공물 의 질을 5점 척도로 측정하였다. 본 데이터 분석의 통계적 유의성은 paired t-test 와 Wilcoxon Signed Rank test 에 사용 하였으며, p값이 0.05이하일 때를 유의성으로 두었다. 본 실험에 대한 정량적 평가결과 SENSE기법 영상과 Compressed SENSE기법 영상을 비교했을 때 CS영상의 경우 평균 SNR(25.60±4.16), CNR(38.12±3.77)로 SENSE영상의 평균 SNR(9.99±4.07), CNR(10.95±6.00)에 비해 더 높게 나온 것을 확인할 수 있었다(p<0.05). 정성적 평가 결과 5점 척도로 측정하였을 때 CS기법은 각각(Overall image quality:4.45 ± 0.41), (Sharpness of duct:4.77 ± 0.29), (Motion artifact:4.57 ± 0.18) 점을 얻었고 SENSE 기법은 각각(Overall image quality:2.94 ± 0.43), (Sharpness of duct:2.03 ± 0.12), (Motion artifact:3.98 ± 0.25) 점을 얻어 CS기 법이 더 높은 점수를 얻었다(p<0.05). 결론적으로, 두 기법의 영상에 대한 데이터 분석 결과 정량적 평가와 정성적 평가 두 부분 모두 CS의 쪽이 더 높게 나타났다. 따라서 MRCP 기술을 이용한 기법으로는 SENSE기법보다 CS기법 쪽이 더 양호한 것을 알 수 있다.

목차

Abstract
Ⅰ. 서론
Ⅱ. 대상 및 방법
1. 연구대상
2. 자료수집
3. 분석방법
4. 통계분석
Ⅲ. 결과
1. SNR에 대한 결과
2. CNR에 대한 결과
3. 정성적 평가에 대한 결과
Ⅳ. 고찰
참고문헌
요약

키워드

저자

• Eun-Hoe Goo [ 구은회 | Department of Radiological Science, Cheongju University ] Corresponding Author
• Do-Yeon Won [ 원도연 | Department of Radiological Science, Daegu Health College ]
• Jae-Eun Jung [ 정재은 | Department of Radiological Science, Daegu Health College ]
• Cheol-In Park [ 박철인 | Department of Biological Laboratory Science, Daegu Health College ]

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