본문 바로가기
KERD
논문KCI 등재

컴퓨터단층촬영 검사 시 테이블 높이에 따른 화질 특성에 관한 연구

A Study on Characteristic of Image Quality according to CT Table Height in Computed Tomography

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류방사선과학

초록

In addition to protocol adjustments during CT examinations, the height of the CT table can also affect image quality. Therefore, this study aimed to investigate the change in image quality depending on the height of the table in brain CT, which accounts for a large proportion of CT examinations, by measuring signal to contrast to noise ratio (CNR) and noise power spectrum (NPS) using the head phantom and evaluating them. The head phantom images were acquired using Philips Brilliance iCT 256. When the image was acquired, the table height was adjusted to 815, 865, 915, 965, 1015, and 1030 mm, respectively, and each scan was performed 3 times for each height. The CNR result showed the highest value at 965 mm, which is the height adjacent to the center of the head phantom. NPS showed the lowest NPS at 915 mm, the center of the head phantom in the low frequency region. From these results, it can be seen that the height of the table in CT examination is closely related to the image quality, and it can be seen the characteristics of image quality according to CT table through quantitative evaluation methods such as CNR and NPS.

Abstract

In addition to protocol adjustments during CT examinations, the height of the CT table can also affect image quality. Therefore, this study aimed to investigate the change in image quality depending on the height of the table in brain CT, which accounts for a large proportion of CT examinations, by measuring signal to contrast to noise ratio (CNR) and noise power spectrum (NPS) using the head phantom and evaluating them. The head phantom images were acquired using Philips Brilliance iCT 256. When the image was acquired, the table height was adjusted to 815, 865, 915, 965, 1015, and 1030 mm, respectively, and each scan was performed 3 times for each height. The CNR result showed the highest value at 965 mm, which is the height adjacent to the center of the head phantom. NPS showed the lowest NPS at 915 mm, the center of the head phantom in the low frequency region. From these results, it can be seen that the height of the table in CT examination is closely related to the image quality, and it can be seen the characteristics of image quality according to CT table through quantitative evaluation methods such as CNR and NPS.

참고문헌 (35)

  1. 최석윤, "두부 CT검사에서의 노이즈 및 화질분석", 방사선기술과학, 42(4), pp.279~284 (2019), 대한방사선과학회
  2. Toth T, "The influence of patient centering on CT dose and image noise", Medical Physics, 34(7), pp.3093~3101 (2007)
  3. Hanson KM, "Detectability in computed tomographic images", Medical Physics, 6(5), pp.441~451 (1979)
  4. 김현주, "머리 CT영상에서 흔히 발생하는 선속경화인공물 감소를 위한 금속인공물감소 알고리즘 적용의 유용성 평가", 한국방사선학회논문지, 12(3), pp.389~395 (2018), 한국방사선학회[DOI]
  5. Kim MC, "The latest CT imaging technology studies theory QC" (2007), Chung-ku Publishing Co
  6. 권순무, "두부 CT에서 차폐기법과 새로운 관전류변조기법에 따른 눈의 선량과 화질평가", 한국방사선학회논문지, 9(5), pp.279~285 (2015), 한국방사선학회[DOI]
  7. 홍동희, "복부-골반 CT검사 시 피폭선량 최적화에 관한 프로토콜 연구", 방사선기술과학, 40(2), pp.245~251 (2017), 대한방사선과학회[DOI]
  8. 문일봉, "CT 장비별 관전압의 변화에 따른 노이즈, SNR 평가 - 자동노출제어방법과 수동노출제어방법 비교 -", 방사선산업학회지, 12(3), pp.233~237 (2018), (사)한국방사선산업학회[DOI]
  9. 최석윤, "저관전압 CT영상에서 발생되는 노이즈 제거", 한국방사선학회논문지, 11(1), pp.63~68 (2017), 한국방사선학회[DOI]
  10. 이종웅, "CT 테이블 높이에 따른 방사선 선량 및 화질 평가", 한국방사선학회논문지, 11(6), pp.453~458 (2017), 한국방사선학회[DOI]
  11. Li J, "Automatic patient centering for MDCT : Effect on radiation dose", American Journal of Roentgenology, 188(2), pp.547~552 (2007)
  12. Habibzadeh MA, "Impact of miscentering on patient dose and image noise in X-ray CT imaging : Phantom and clinical studies", Physica Medica, 28(3), pp.191~199 (2012)
  13. Kaasalainen T, "Effect of vertical positioning on organ dose, image noise and contrast in pediatric chest CT-phantom Study", Pediatric Radiology, 43(6), pp.673~684 (2013)
  14. Kaasalainen T, "Effect of patient centering on patient dose and image noise in chest CT", American Journal of Roentgenology, 203(1), pp.123~130 (2014)
  15. Kataria B, "Implications of patient centering on organ dose in computed tomography", Radiation Protection Dosimetry, 169(1-4), pp.130~135 (2016)
  16. Filev PD, "Increased computed tomography dose due to miscentering with use of automated tube voltage selection : Phantom and patient study", Current Problems in Diagnostic Radiology, 45(4), pp.265~270 (2016)
  17. Saltybaeva N, "Vertical off-centering affects organ dose in chest CT : Evidence from monte carlo simulations in anthropomorphic phantoms", Medical Physics, 44(11), pp.5697~5704 (2017)
  18. 김기원, "두부 CT 검사 시 테이블 높이에 따른 선량과 화질에 관한 연구", 방사선기술과학, 46(2), pp.99~106 (2023), 대한방사선과학회
  19. 김기원, "복부 전후 방향 검사의 자동노출제어 사용 시 선량 비교 연구", 방사선기술과학, 38(3), pp.205~211 (2015), 대한방사선과학회[DOI]
  20. 손순룡, "T-spine exhalation technique과 자연스런 호흡 상태에서 촬영하는 T-spine breathing technique의 정량적 평가", 한국산학기술학회논문지, 14(9), pp.4429~4436 (2013), 한국산학기술학회[DOI]
  21. 김기원, "흉추 측면검사 영상의 CNR과 SNR 측정의 비교 연구", 방사선기술과학, 36(4), pp.273~280 (2013), 대한방사선과학회
  22. 손순룡, "방사선치료 시 전자포털영상장치를 이용한 잡음전력스펙트럼 방법론 측정비교", 방사선기술과학, 39(1), pp.99~105 (2016), 대한방사선과학회[DOI]
  23. Baek J, "The noise power spectrum in CT with direct fan beam reconstruction", Medical Physics, 37(5), pp.2074~2081 (2010)
  24. Penny W, "Statistical parametric mapping: The analysis of function brain images" (2006), Elsevier
  25. Wolf I, "The medical imaging interaction toolkit", Medical Image Analysis, 9(6), pp.594~604 (2005)
  26. Oppenheim AV, "Discrete-time signal processing" (2009), Pearson Education
  27. IEC62220-1. Characteristics of digital X-ray imaging devices-Part1: Determination of the detective quantum efficiency, , International Electro Technical Commission, ~ (2003)
  28. 이은애, "방사선 디텍터의 Noise Power Spectrum:Ⅱ. Spectrum의 평균을 통한 측정", 전자공학회논문지, 54(3), pp.63~69 (2017), 대한전자공학회
  29. Ferreira BMP, "3D structure and mechanics of silk sponge scaffolds is governed by larger pore sizes", Frontiers in Materials, 7, pp.144~169 (2020)
  30. Siewerdsen JH, "A framework for noise-power spectrum analysis of multidimensional images", Medical Physics, 29(11), pp.2655~2671 (2002)
  31. Funama Y, "Image quality assessment of an iterative reconstruction algorithm applied to abdominal CT imaging", Physica Medica, 30(4), pp.527~534 (2014)
  32. Barca P, "Comprehensive assessment of image quality in synthetic and digital mammography : A quantitative comparison", Australasian Physical & Engineering Sciences in Medicine, 42(4), pp.1141~1152 (2019)
  33. Barca P, "A comprehensive assessment of physical image quality of five different scanners for head CT imaging as clinically used at a single hospital centre-A phantom study", PLoS One, 16(1), pp.1~17 (2021)
  34. 정회원, "CsI(TI) Indirect Flat Panel Detector의 선질에 따른 물리적 영상 평가", 방사선기술과학, 35(2), pp.109~117 (2012), 대한방사선과학회[DOI]
  35. 손순룡, "Measurement of Image Quality According to the Time of Computed Radiography System", 방사선기술과학, 38(4), pp.365~374 (2015), 대한방사선과학회[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (5건)