Human brain 3d model project corpus callosum

#HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM SERIAL#
#HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM REGISTRATION#
#HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM SOFTWARE#

Apparently, 3D-PLI images disclose an intriguing fiber architecture, which integrates classic myeloarchitecture with tissue anisotropy as revealed by diffusion magnetic resonance imaging on a microscopic level. 3D-PLI utilizes the birefringence of myelinated and to a minor extent also unmyelinated axons in histological sections to contrast fibers with nerve cell bodies or glial cells and to determine their spatial courses in a form of 3D fiber orientation vectors. Birefringence, the main polarization property of interest for biological tissues, is caused by a difference in index of refraction that results in a phase shift between orthogonal polarization states and is often exhibited by fibrous structures, such as nerve fibers (i.e., myelinated and unmyelinated axons). No histological staining or labeling is needed by optical methods that utilize intrinsic tissue properties able to modify the polarization state of light. 3D-PLI demonstrated exceptional performance in providing fiber/non-fiber contrasts in both deep white matter and cortical regions even for entire human brain sections with an area size of up to 200В cm 2 scanned at very high spatial resolution (down to 1.3В Ојm, in-plane).

#HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM SERIAL#

The polarization microscopy technology referred to as 3D-PLI is able to reveal the brainвЂ™s fiber architecture at the micro- to the mesoscale (i.e., in the range of 1вЂ“100 Ојm) in serial large-sized unstained histological brain sections. As such new methods are provided for quantitative 3D analysis of the fiber architecture of mammalian brains.Дў. In addition examples are presented of how these techniques can be used to trace the 3D courses of fibers in 3D in human and rat brains. The methods that are used to visualize our fiber orientation models are illustrated as well as the structural modalities that will be needed as anatomical context. First, the method of 3D-PLI is briefly summarized including the tissue processing, image acquisition, and image processing. In this chapter, we will introduce 3D visualization techniques that extract important information of the 3D-PLI data and present them appropriately. A structural analysis of fiber orientation models in 3D requires specific visualization techniques due to the challenges the 3D visualization of fiber architecture is confronted with, such as the huge amount of data, the occlusion of the inner structures by the outer layers, and the visual clutter caused by the enormous number of vectors contained in the datasets. The unique value of 3D-PLI data was demonstrated in detailed studies of the course of fibers and fiber tracts in section-wise 3D analysis, i.e., the fibers were traced across the sections by means of 2D visualizations.

#HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM REGISTRATION#

The 3D reconstruction of images of serial brain section by means of image registration yields a virtual brain model reflecting local fiber orientations. It provides 3D fiber orientation models that are interpreted by a voxel-based analysis, i.e., each tissue voxel is assigned a single 3D fiber orientation vector. By means of these techniques, a detailed analysis of the complex fiber architecture in 3D is feasible.ДЈD-PLI is an essential microscopy method that makes the derivation of 3D nerve fiber orientations possible. Alignment of a 3D-PLI dataset to an appropriate brain atlas provides expert-based delineation, segmentation, and, ultimately, visualization of selected anatomical structures.

This includes the visualization of (i) anatomic structural and fiber architectonic data in one representation, (ii) a large-scale fiber orientation vector field, and (iii) a clustered version of the field.

#HUMAN BRAIN 3D MODEL PROJECT CORPUS CALLOSUM SOFTWARE#

Here, we introduce a comprehensive software tool that is able to visualize all information of a typical 3D-PLI dataset in an adequate and sophisticated manner. In order to inspect and analyze such high-resolution fiber orientation vector field, also in combination with complementary microscopy measurements, appropriate visualization techniques are essential to overcome several challenges, such as the massive data sizes, the large amount of both unique and redundant information at different scales, or the occlusion issues of inner structures by outer layers. This leads to comprehensive 3D vector fields. In a specific voxel-based analysis, each voxel is assigned a single 3D fiber orientation vector. 3D polarized light imaging (3D-PLI) is a neuroimaging technique that has recently opened up new avenues to study the complex architecture of nerve fibers in postmortem brains at microscopic scales.

Human brain 3d model project corpus callosum