摘要
针对目前扩散光学断层(DOT)成像空间定位精度较低的特点,采用与磁共振成像结合的成像方法,通过有限元网格引入磁共振先验解剖信息,可有效提高重建图像的空间分辨率和定位精度。定义了多个评价指标,利用点扩展函数(PSF)仿真,在不同组织分类和不同的光学参数条件下,定量评估了重建图像空间位置的准确性、有效分辨率和对称性,并给出了具有深度信息的三维重建图像。仿真结果表明,将大脑组织分成头皮、头骨、大脑和脑脊液可以得到最优的扩散光学断层成像的图像质量,且图像质量在三维空间分布较为均匀,同时验证了在一定范围内改变组织的光学参数大小,重建图像指标仅在较小的范围内浮动,对仿真结果影响可忽略。
A magnetic resonance imaging（MRI） guided approach is introduced aimed at improving the spatial resolution and image localization errors of diffuse optical tomography（DOT）.This approach allows incorporation of the priori MRI-based anatomical information through a segmented finite element mesh of a human brain.Since there are few existing literatures discussing the classification choice of the brain model and the settings of optical parameters,we propose three imaging quality evaluation indices in 3D space using point-spread-function（PSF） simulation,and provide a thorough evaluation of the image quality under condition of different tissue the classification and optical parameters.Meanwhile,reconstructed images are given in 3D space with depth information.It is indicated that a four-layer brain model： scalp,skull,brain and cerebrospinal fluid,produces the best image quality and the image quality is relatively even over the entire field of view.The effect of optical parameters′ variation within a certain range is relatively small and negligible.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2011年第7期191-197,共7页
Acta Optica Sinica
关键词
图像处理
图像质量
磁共振成像
扩散光学断层成像
图像分割
网格化
image processing
image quality
magnetic resonance imaging
diffuse optical tomography
image segmentation
meshing
