Landry Guillaume, Gaudreault Mathieu, van Elmpt Wouter, Wildberger Joachim E, Verhaegen Frank
Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center (MUMC), Maastricht, the Netherlands; Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-University, Munich, Germany.
Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center (MUMC), Maastricht, the Netherlands; Département de Radio-Oncologie et Centre de Recherche en Cancérologie de l'Université Laval, CHUQ Pavillon L'Hôtel-Dieu de Québec, Québec, Canada; Département de Physique, de Génie Physique et d'Optique, Université Laval, Québec, Canada.
Z Med Phys. 2016 Mar;26(1):75-87. doi: 10.1016/j.zemedi.2015.09.001. Epub 2015 Oct 1.
The goal of this study was to evaluate the noise reduction achievable from dual energy computed tomography (CT) imaging (DECT) using filtered backprojection (FBP) and iterative image reconstruction algorithms combined with increased imaging exposure. We evaluated the data in the context of imaging for brachytherapy dose calculation, where accurate quantification of electron density ρe and effective atomic number Zeff is beneficial. A dual source CT scanner was used to scan a phantom containing tissue mimicking inserts. DECT scans were acquired at 80 kVp/140Sn kVp (where Sn stands for tin filtration) and 100 kVp/140Sn kVp, using the same values of the CT dose index CTDIvol for both settings as a measure for the radiation imaging exposure. Four CTDIvol levels were investigated. Images were reconstructed using FBP and sinogram affirmed iterative reconstruction (SAFIRE) with strength 1,3 and 5. From DECT scans two material quantities were derived, Zeff and ρe. DECT images were used to assign material types and the amount of improperly assigned voxels was quantified for each protocol. The dosimetric impact of improperly assigned voxels was evaluated with Geant4 Monte Carlo (MC) dose calculations for an (125)I source in numerical phantoms. Standard deviations for Zeff and ρe were reduced up to a factor ∼2 when using SAFIRE with strength 5 compared to FBP. Standard deviations on Zeff and ρe as low as 0.15 and 0.006 were achieved for the muscle insert representing typical soft tissue using a CTDIvol of 40 mGy and 3mm slice thickness. Dose calculation accuracy was generally improved when using SAFIRE. Mean (maximum absolute) dose errors of up to 1.3% (21%) with FBP were reduced to less than 1% (6%) with SAFIRE at a CTDIvol of 10 mGy. Using a CTDIvol of 40mGy and SAFIRE yielded mean dose calculation errors of the order of 0.6% which was the MC dose calculation precision in this study and no error was larger than ±2.5% as opposed to errors of up to -4% with FPB. This phantom study showed that the SAFIRE image reconstruction algorithm provided reduced standard deviations of Zeff and ρe in uniform regions of interest while preserving mean Zeff and ρe values. This resulted in improved material type assignment. The use of SAFIRE improved brachytherapy dose calculations for the materials from the phantom investigated in this study using (125)I.
本研究的目的是评估使用滤波反投影(FBP)和迭代图像重建算法并结合增加成像曝光量,从双能计算机断层扫描(CT)成像(DECT)中可实现的降噪效果。我们在近距离放射治疗剂量计算成像的背景下评估了这些数据,其中准确量化电子密度ρe和有效原子序数Zeff是有益的。使用双源CT扫描仪扫描包含组织模拟插入物的体模。DECT扫描在80 kVp/140Sn kVp(其中Sn代表锡滤过)和100 kVp/140Sn kVp条件下进行,两种设置下使用相同的CT剂量指数CTDIvol值作为辐射成像曝光量的度量。研究了四个CTDIvol水平。使用FBP以及强度为1、3和5的正弦图确认迭代重建(SAFIRE)对图像进行重建。从DECT扫描中得出两个物质数量,即Zeff和ρe。使用DECT图像来指定物质类型,并对每个方案中误分配体素的数量进行量化。对于数值体模中的(125)I源,使用Geant4蒙特卡罗(MC)剂量计算评估误分配体素的剂量学影响。与FBP相比,使用强度为5的SAFIRE时,Zeff和ρe的标准差降低了约2倍。对于代表典型软组织的肌肉插入物,使用40 mGy的CTDIvol和3mm的层厚,Zeff和ρe的标准差低至0.15和0.006。使用SAFIRE时,剂量计算准确性通常会提高。在10 mGy的CTDIvol下,FBP的平均(最大绝对)剂量误差高达1.3%(21%),而SAFIRE将其降低至小于1%(6%)。使用40 mGy的CTDIvol和SAFIRE时,平均剂量计算误差约为0.6%,这是本研究中的MC剂量计算精度,且没有误差大于±2.5%,而FBP的误差高达-4%。该体模研究表明,SAFIRE图像重建算法在保持平均Zeff和ρe值的同时,降低了感兴趣均匀区域中Zeff和ρe的标准差。这导致了物质类型分配的改善。使用SAFIRE改进了本研究中使用(125)I对体模材料进行的近距离放射治疗剂量计算。