Mosaliganti K, Janoos F, Gelas A, Noche R, Obholzer N, Machiraju R, Megason Sean G
Department of Systems Biology, Harvard Medical School, Boston, USA.
Proc IEEE Int Symp Biomed Imaging. 2010:588-591. doi: 10.1109/ISBI.2010.5490110.
We propose an anisotropic diffusion method to denoise and aid the reconstruction of planar objects in three-dimensional images. The contribution of this paper is the development of a planarity function characterizing plate-like structures using an image Hessian's eigensystem. We then construct a diffusion tensor for anisotropically smoothing plates and satisfying necessary scale-space properties. Our method finds applications in improving the fidelity of highly noisy cell membrane images from confocal microscopy. In dense cellular regions, cell membranes assume linear shapes (planar) between neighbors. The imaging process makes cell membranes appear as diffuse structures owing to the non-uniform fluorescent marker distribution, point-spread function of the optics, and anisotropic voxel resolution which make automatic cell segmentation difficult. We apply diffusion filtering to identify and enhance membranes. We demonstrate the use of our methods on 3D cell membrane images of a zebrafish embryo acquired using fluorescent microscopy and quantify the improvement in image quality.
我们提出一种各向异性扩散方法，用于对三维图像中的平面物体进行去噪并辅助其重建。本文的贡献在于利用图像黑塞矩阵的特征系统开发了一种表征板状结构的平面度函数。然后，我们构建一个扩散张量，用于对平板进行各向异性平滑处理并满足必要的尺度空间特性。我们的方法可应用于提高共聚焦显微镜下高噪声细胞膜图像的保真度。在密集的细胞区域，相邻细胞之间的细胞膜呈线性形状（平面）。由于荧光标记分布不均匀、光学系统的点扩散函数以及各向异性体素分辨率，成像过程使细胞膜呈现为弥散结构，这使得自动细胞分割变得困难。我们应用扩散滤波来识别和增强细胞膜。我们展示了我们的方法在使用荧光显微镜获取的斑马鱼胚胎三维细胞膜图像上的应用，并量化了图像质量的改善情况。
