Boydev Christine, Taleb-Ahmed Abdelmalik, Derraz Foued, Peyrodie Laurent, Thiran Jean-Philippe, Pasquier David
Signal Processing Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.
Laboratory of Industrial and Human Automation control, Mechanical engineering and Computer Science, University of Valenciennes and Hainaut-Cambrésis, Valenciennes, France.
Radiat Oncol. 2015 Apr 10;10:83. doi: 10.1186/s13014-015-0386-8.
Cone-beam computed tomography (CBCT) image-guided radiotherapy (IGRT) systems are widely used tools to verify and correct the target position before each fraction, allowing to maximize treatment accuracy and precision. In this study, we evaluate automatic three-dimensional intensity-based rigid registration (RR) methods for prostate setup correction using CBCT scans and study the impact of rectal distension on registration quality.
We retrospectively analyzed 115 CBCT scans of 10 prostate patients. CT-to-CBCT registration was performed using (a) global RR, (b) bony RR, or (c) bony RR refined by a local prostate RR using the CT clinical target volume (CTV) expanded with 1-to-20-mm varying margins. After propagation of the manual CT contours, automatic CBCT contours were generated. For evaluation, a radiation oncologist manually delineated the CTV on the CBCT scans. The propagated and manual CBCT contours were compared using the Dice similarity and a measure based on the bidirectional local distance (BLD). We also conducted a blind visual assessment of the quality of the propagated segmentations. Moreover, we automatically quantified rectal distension between the CT and CBCT scans without using the manual CBCT contours and we investigated its correlation with the registration failures. To improve the registration quality, the air in the rectum was replaced with soft tissue using a filter. The results with and without filtering were compared.
The statistical analysis of the Dice coefficients and the BLD values resulted in highly significant differences (p<10(-6)) for the 5-mm and 8-mm local RRs vs the global, bony and 1-mm local RRs. The 8-mm local RR provided the best compromise between accuracy and robustness (Dice median of 0.814 and 97% of success with filtering the air in the rectum). We observed that all failures were due to high rectal distension. Moreover, the visual assessment confirmed the superiority of the 8-mm local RR over the bony RR.
The most successful CT-to-CBCT RR method proved to be the 8-mm local RR. We have shown the correlation between its registration failures and rectal distension. Furthermore, we have provided a simple (easily applicable in routine) and automatic method to quantify rectal distension and to predict registration failure using only the manual CT contours.
锥形束计算机断层扫描(CBCT)图像引导放射治疗(IGRT)系统是广泛使用的工具,用于在每次分次治疗前验证和校正靶区位置,从而使治疗的准确性和精确性最大化。在本研究中,我们评估了基于三维强度的自动刚性配准(RR)方法,用于使用CBCT扫描进行前列腺摆位校正,并研究直肠扩张对配准质量的影响。
我们回顾性分析了10例前列腺患者的115次CBCT扫描。使用(a)全局RR、(b)骨性RR或(c)通过局部前列腺RR细化的骨性RR进行CT到CBCT的配准,其中局部前列腺RR使用扩展了1至20毫米不同边界的CT临床靶区(CTV)。在手动绘制的CT轮廓传播后,生成自动的CBCT轮廓。为了进行评估,一名放射肿瘤学家在CBCT扫描上手动勾勒出CTV。使用骰子相似性和基于双向局部距离(BLD)的测量方法比较传播的和手动的CBCT轮廓。我们还对传播的分割质量进行了盲法视觉评估。此外,我们在不使用手动CBCT轮廓的情况下自动量化了CT和CBCT扫描之间的直肠扩张,并研究了其与配准失败的相关性。为了提高配准质量,使用滤波器将直肠内的空气替换为软组织。比较了滤波前后的结果。
对于5毫米和8毫米的局部RR与全局、骨性和1毫米的局部RR,骰子系数和BLD值的统计分析显示出高度显著的差异(p<10^(-6))。8毫米的局部RR在准确性和稳健性之间提供了最佳折衷(在对直肠内空气进行滤波后,骰子中位数为0.814,成功率为97%)。我们观察到所有失败均归因于直肠高度扩张。此外,视觉评估证实了8毫米局部RR优于骨性RR。
最成功的CT到CBCT RR方法被证明是8毫米局部RR。我们已经展示了其配准失败与直肠扩张之间的相关性。此外,我们提供了一种简单(易于在常规中应用)且自动的方法,仅使用手动CT轮廓来量化直肠扩张并预测配准失败。