Glaister Jeffrey, Carass Aaron, Pham Dzung L, Butman John A, Prince Jerry L
Dept. of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Dept. of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
Med Image Comput Comput Assist Interv. 2017 Sep;10433:92-99. doi: 10.1007/978-3-319-66182-7_11. Epub 2017 Sep 4.
The falx cerebri is a meningeal projection of dura in the brain, separating the cerebral hemispheres. It has stiffer mechanical properties than surrounding tissue and must be accurately segmented for building computational models of traumatic brain injury. In this work, we propose a method to segment the falx using T1-weighted magnetic resonance images (MRI) and susceptibility-weighted MRI (SWI). Multi-atlas whole brain segmentation is performed using the T1-weighted MRI and the gray matter cerebrum labels are extended into the longitudinal fissure using fast marching to find an initial estimate of the falx. To correct the falx boundaries, we register and then deform a set of SWI with manually delineated falx boundaries into the subject space. The continuous-STAPLE algorithm fuses sets of corresponding points to produce an estimate of the corrected falx boundary. Correspondence between points on the deformed falx boundaries is obtained using coherent point drift. We compare our method to manual ground truth, a multi-atlas approach without correction, and single-atlas approaches.
大脑镰是硬脑膜在脑内的一个脑膜突起，将大脑半球分开。它具有比周围组织更硬的力学特性，为构建创伤性脑损伤的计算模型，必须对其进行精确分割。在这项工作中，我们提出了一种使用T1加权磁共振成像（MRI）和磁敏感加权成像（SWI）对大脑镰进行分割的方法。使用T1加权MRI进行多图谱全脑分割，并使用快速行进法将灰质大脑标签扩展到纵裂中，以找到大脑镰的初始估计值。为了校正大脑镰边界，我们将一组带有手动勾勒大脑镰边界的SWI配准并变形到受试者空间。连续STAPLE算法融合相应点集以生成校正后的大脑镰边界估计值。使用相干点漂移获得变形后的大脑镰边界上点之间的对应关系。我们将我们的方法与手动真值、未经校正的多图谱方法和单图谱方法进行比较。
