Aubert-Broche Berengere, Grova Christophe, Reilhac Anthonin, Evans Alan C, Collins D Louis
Montreal Neurological Institute, McGill University, Montreal, Canada.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):330-7. doi: 10.1007/11866565_41.
This paper describes the construction of simulated SPECT and MRI databases that account for realistic anatomical and functional variability. The data is used as a gold-standard to evaluate four SPECT/MRI similarity-based registration methods. Simulation realism was accounted for using accurate physical models of data generation and acquisition. MRI and SPECT simulations were generated from three subjects to take into account inter-subject anatomical variability. Functional SPECT data were computed from six functional models of brain perfusion. Previous models of normal perfusion and ictal perfusion observed in Mesial Temporal Lobe Epilepsy (MTLE) were considered to generate functional variability. We studied the impact noise and intensity non-uniformity in MRI simulations and SPECT scatter correction may have on registration accuracy. We quantified the amount of registration error caused by anatomical and functional variability. Registration involving ictal data was less accurate than registration involving normal data. MR intensity nonuniformity was the main factor decreasing registration accuracy. The proposed simulated database is promising to evaluate many functional neuroimaging methods, involving MRI and SPECT data.
本文描述了模拟单光子发射计算机断层扫描（SPECT）和磁共振成像（MRI）数据库的构建，该数据库考虑了实际的解剖学和功能变异性。这些数据被用作金标准，以评估四种基于SPECT/MRI相似性的配准方法。通过使用精确的数据生成和采集物理模型来考虑模拟的真实性。从三名受试者生成MRI和SPECT模拟，以考虑受试者间的解剖学变异性。功能性SPECT数据由六种脑灌注功能模型计算得出。在颞叶内侧癫痫（MTLE）中观察到的正常灌注和发作期灌注的先前模型被用于产生功能变异性。我们研究了MRI模拟中的噪声和强度不均匀性以及SPECT散射校正可能对配准精度产生的影响。我们量化了解剖学和功能变异性导致的配准误差量。涉及发作期数据的配准不如涉及正常数据的配准准确。MR强度不均匀性是降低配准精度的主要因素。所提出的模拟数据库有望评估许多涉及MRI和SPECT数据的功能性神经成像方法。
