Monti Serena, Cavaliere Carlo, Covello Mario, Nicolai Emanuele, Salvatore Marco, Aiello Marco
IRCCS SDN, Naples, Italy
J Healthc Eng. 2017;2017. doi: 10.1155/2017/2634389.
Coregistration of multimodal diagnostic images is crucial for qualitative and quantitative multiparametric analysis. While retrospective coregistration is computationally intense and could be inaccurate, hybrid PET/MR scanners allow acquiring implicitly coregistered images. Aim of this study is to assess the performance of state-of-the-art coregistration methods applied to PET and MR acquired as single modalities, comparing the results with the implicitly coregistration of a hybrid PET/MR, in complex anatomical regions such as head/neck (HN). A dataset consisting of PET/CT and PET/MR subsequently acquired in twenty-three patients was considered: performance of rigid (RR) and deformable (DR) registration obtained by a commercial software and an open-source registration package was evaluated. Registration accuracy was qualitatively assessed in terms of visual alignment of anatomical structures and qualitatively measured by the Dice scores computed on segmented tumors in PET and MRI. The resulting scores highlighted that hybrid PET/MR showed higher registration accuracy than retrospectively coregistered images, because of an overall misalignment after RR, unrealistic deformations and volume variations after DR. DR revealed superior performance compared to RR due to complex nonrigid movements of HN district. Moreover, simultaneous PET/MR offers unique datasets serving as ground truth for the improvement and validation of coregistration algorithms, if acquired with PET/CT.
多模态诊断图像的配准对于定性和定量多参数分析至关重要。虽然回顾性配准计算量很大且可能不准确,但混合型PET/MR扫描仪能够获取隐式配准的图像。本研究的目的是评估应用于PET和MR单模态采集图像的最先进配准方法的性能,并将结果与混合型PET/MR在头部/颈部(HN)等复杂解剖区域的隐式配准结果进行比较。我们考虑了一个由23名患者随后采集的PET/CT和PET/MR组成的数据集:评估了通过商业软件和开源配准软件包获得的刚性(RR)和可变形(DR)配准的性能。配准准确性通过解剖结构的视觉对齐进行定性评估,并通过PET和MRI中分割肿瘤计算的骰子分数进行定性测量。结果分数表明,混合型PET/MR显示出比回顾性配准图像更高的配准准确性,这是因为RR后存在整体错位、DR后出现不切实际的变形和体积变化。由于HN区域复杂的非刚性运动,DR显示出比RR更好的性能。此外,如果与PET/CT一起采集,同时进行的PET/MR可提供独特的数据集,作为配准算法改进和验证的基准。