Evaluation of difference in respiratory phase between amplitude- and phase-based four-dimensional computed tomography

위상 기반 사차원전산화단층촬영과 진폭 기반 사차원전산화단층촬영 영상에서의 위상차 평가

  • Lee, So Hyang (Department of Radiation Oncology, Samsung Medical Center) ;
  • Park, Soo Yeon (Department of Radiation Oncology, Samsung Medical Center) ;
  • Kim, Jong Sik (Department of Radiation Oncology, Samsung Medical Center) ;
  • Choi, Byung Ki (Department of Radiation Oncology, Samsung Medical Center) ;
  • Park, Hee Chul (Department of Radiation Oncology, Samsung Medical Center) ;
  • Jung, Sang Hoon (Department of Radiation Oncology, Samsung Medical Center)
  • 이소향 (삼성서울병원 방사선종양학과) ;
  • 박수연 (삼성서울병원 방사선종양학과) ;
  • 김종식 (삼성서울병원 방사선종양학과) ;
  • 최병기 (삼성서울병원 방사선종양학과) ;
  • 박희철 (삼성서울병원 방사선종양학과) ;
  • 정상훈 (삼성서울병원 방사선종양학과)
  • Received : 2015.05.29
  • Accepted : 2015.06.25
  • Published : 2015.06.30

Abstract

Purpose : Under the assumption of change to the amplitude based sorting, the study will use four dimensional computed tomography imaging (4DCT) arrayed using the phase based sorting to analyze the respiratory phase difference. Materials and Methods : The study analyzed the 4DCT (4-dimensional computed tomography) images of 10 liver cancer patients that were treated with respiratory gated radiotherapy from 2015 February to March. Using RPM respiratory gating (RPM 1.7.5, Varian, USA) equipment, imaging according to respiratory cycle of phase based sorting was acquired and using a treatment planning system (Pinnacle 9.2, Philips, USA) the acquired imaging according to respiratory cycle was used to measure the abdominal movement value by respiratory cycle. The measuring point was the point where the center point of the Marker Block and the body surface met in the 50% phase image and here the coordinate values Lateral, Vertical, Longitudinal (X, Y, Z) were set as reference points, and on the X, Z plane identical to the reference point, using the identical method the Y axis coordinate value of each 0%, 30%, 40%, 50%, 60%, 80% phase images were acquired to quantitatively measure the variation of distance to the Y axis. The abdominal movement value according to respiration was applied to the theoretical model that the value decreases linearly from maximum inhalation to maximum exhalation to divide the variation of my value to predict as amplitude value by respiratory cycle and conversely the variation in amplitude was recalculated with the phase variation deviation value to analyze. Results : The deviation value between expected value and actual location was the largest in the 30% phase with 0.24 cm, and standard deviation was also the largest in 30% phase with 0.13 cm. The effective value of the deviation value derived from the average of the deviation squared value of each patient appeared as minimum 0.7 cm, maximum 0.18 cm, average 0.12 cm, and standard deviation 0.4 cm. Also by dividing the actual movement distance value with the peak expiration value then converting it into %Phase, the deviation value with actual phase 16.5% in 30% phase, 10.0% and 40% phase, 10.0% and 60% phase, 15.4% and 80% phase, and overall average about 13%, and arraying based on amplitude, phase shift occurred and further it was from peak expiration the chance of deviation occurrence was increasingly measured. Conclusion : Based on the results of the study there were differences between value acquired based on theoretical model and actual value. Therefore in respiratory gated radiotherapy using external surrogates, there needs to be establishment of respiration gated radiation system that avoids the combination of two Sorting methods considering that there will be occurrence of treatment and corresponding clinical differences due to the phase difference that occur due to the Amplitude based Phase Sorting.

목 적 : 본 연구는 위상 기반 방식으로 배열 된 사차원 전산화 단층 촬영 영상(4DCT, 4-dimensional computed tomography)를 이용하여 진폭 기반 방식으로의 재구성 하였을 때의 위상 차이를 분석하였다. 대상 및 방법 : 2015년 02월부터 03월 까지 호흡동조 방사선 치료를 받은 간암 환자 10명의 사차원 전산화 단층 촬영 영상을 대상으로 분석 하였다. RPM respiratory gating (RPM 1.7.5, Varian, USA)장치를 이용하여 위상 기반 배열 방식의 호흡주기별 영상을 획득 하였으며, 획득된 호흡 주기별 영상은 치료계획시스템(Pinnacle 9.2, Philips, USA)을 이용하여 호흡주기별 복부의 움직임 값을 측정하였다. 최대 호기(50%)와 최대 흡기(0%)에서의 복부 움직임을 진폭으로 하여 10개 위상의 진폭 기반 호흡위상을 재구성하고, 이를 위상 기반 사차원영상촬영영상의 호흡 위상과 비교하였다. 결 과 : 위상 기반 및 진폭 기반 사차원단층촬영영상으로 재구성한 영상에서의 위상 차이는 최대 30% 호흡위상에서 확인할 수 있었으며, 30% 호흡 위상에서 평균 0.13 cm (최대 0.24 cm)의 위치 차이를 확인할 수 있었고, 동일 측정 점 위치가 가지는 위상차는 30% 위상에서 평균 8.7%(최대 16.5%)의 위상차를 확인하였다. 전체 호흡 구간에서 평균 위치 차이는 0.4 cm, 평균 위상 차이는 13.0% 임을 확인하였다. 결 론 : 본 연구 결과는 위상 기반 방식으로 배열된 4DCT 영상을 진폭 기반 방식으로의 변환하였을 때 계산 값과 실측값을 분석한 결과 최대 16.5% 의 위상차가 발생함을 확인하였다.

Keywords

References

  1. Li R, Lewis JH, Cervino LI, Jiang SB : 4D CT sorting based on patient internal anatomy. Phys Med Biol. 2009 Aug 7;54(15):4821-33 https://doi.org/10.1088/0031-9155/54/15/012
  2. Lu W, Parikh PJ, Hubenschmidt JP, et al: A comparison between amplitude sorting and phase-angle sorting using external respiratory measurement for 4D CT. Med Phys. 2006 Aug;33(8):2964-2974 https://doi.org/10.1118/1.2219772
  3. Vedam SS, Keall PJ, Kini VR, et al : Determining parameters for respirtion-gted radiotherapy. Med Phys.2001 Oct;28:2139-2146 https://doi.org/10.1118/1.1406524
  4. Wink N, Panknin C, Solberg TD : Phase versus amplitude sorting of 4D-CT data. J Appl Clin Med Phys. 2006 Winter;7(1):77-85 https://doi.org/10.1120/jacmp.v7i1.2198
  5. Gianoli C, Riboldi M, Spadea MF, Travaini LL, et al : A multiple points method for 4D CT image sorting. Med Phys. 2011 Feb;38(2):656-67 https://doi.org/10.1118/1.3538921
  6. Rietzel E, Chen GTY: Improving retrospective sorting of 4D computed tomography data. Med Phys.2006 Feb;33(2):377-379 https://doi.org/10.1118/1.2150780
  7. Mutaf YD, Antolak JA, Brinkmann DH: The impact of temporal inaccuracies on 4DCT image quality. Med Phys.2007 May;34(5):1615-1622 https://doi.org/10.1118/1.2717404
  8. S SVedam, P J Keall,V R Kini, HMostafavi, et al : Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. Phys Med Biol. 2003 Jan 7;48(1):45-62 https://doi.org/10.1088/0031-9155/48/1/304
  9. V?squez AC, Runz A, Echner G, Sroka-Perez G, Karger CP : Comparison of two respiration monitoring systems for 4D imaging with a Siemens CT using a new dynamic breathing phantom. Phys Med Biol. 2012 May 7;57(9):N131-43 https://doi.org/10.1088/0031-9155/57/9/N131
  10. Glide-Hurst CK, Schwenker Smith M, Ajlouni M, Chetty IJ : Evaluation of two synchronized external surrogates for 4D CT sorting. J Appl Clin Med Phys. 2013 Nov 4;14(6):4301