3D Reconstruction Of Blood Vessels Research Articles

A semiparametric Gaussian mixture model for chest CT-based 3D blood vessel reconstruction.

Computed tomography (CT) has been a powerful diagnostic tool since its emergence in the 1970s. Using CT data, 3D structures of human internal organs and tissues, such as blood vessels, can be reconstructed using professional software. This 3D reconstruction is crucial for surgical operations and can serve as a vivid medical teaching example. However, traditional 3D reconstruction heavily relies on manual operations, which are time-consuming, subjective, and require substantial experience. To address this problem, we develop a novel semiparametric Gaussian mixture model tailored for the 3D reconstruction of blood vessels. This model extends the classical Gaussian mixture model by enabling nonparametric variations in the component-wise parameters of interest according to voxel positions. We develop a kernel-based expectation-maximization algorithm for estimating the model parameters, accompanied by a supporting asymptotic theory. Furthermore, we propose a novel regression method for optimal bandwidth selection. Compared to the conventional cross-validation-based (CV) method, the regression method outperforms the CV method in terms of computational and statistical efficiency. In application, this methodology facilitates the fully automated reconstruction of 3D blood vessel structures with remarkable accuracy.

A novel method for 3D reconstruction of blood vessels

With the development of computer technology, computer-aided diagnosis has been greatly improved. Computer-aided diagnosis can help doctors diagnose with medical imaging and other technique. Cardiovascular disease(CVD) lead to death with high probability. The computer-aided toward blood vessel is necessary. In this paper, we propose a novel method for 3D reconstructing of blood vessels. We calculate the volume data of blood vessels using an implicit modeling method based on the scanned blood vessel images, and establish a 3D model for blood vessels. Compared with existing methods, our method can obtain the surface and internal information of blood vessels accurately based on the implicit function method. The experimental results reflect that our method can implement 3D reconstruction of blood vessels with high accuracy and smoothness.

Postmortem Computed Tomography Angiography of Newborns.

We propose an original method of postmortem computed tomography angiography of the body of a deceased newborn. The work is based on the analysis of the results of comprehensive postmortem computed tomography and pathological examination of 30 newborns, who died from congenital malformations. The key to a full-fledged postmortem radiation study using intravascular contrasting of deceased newborns and infants is the presence of vascular catheters established during life, as well as conducting it no earlier than 12 h and no later than 48 h after death. As a contrast agent, we recommend to use an iodine-containing water-soluble radiopaque drug containing at least 250 mg of iodine per 1 ml. The volume of contrast agent is calculated based on body weight, taking into account the general edema syndrome. The introduction of a contrast agent is carried out through vascular catheters in 3 stages in various positions of the body. The analysis of tomograms and 3D-reconstruction of blood vessels using their pseudocoloring allows accurate assessment of the topography of blood vessels with the possibility of separate study of the arterial and venous vessels, and to identify both congenital abnormalities of the heart and blood vessels, and their acquired pathology. CT angiography in some cases is superior to traditional autopsy in the diagnosis of blood vessel pathology. Postmortem CT angiography should be considered as an important stage of postmortem radiology in the structure of comprehensive pathological analysis of newborns and infants.

3D Reconstruction of blood vessels

The aim of this paper is to achieve the 3D reconstruction of blood vessels from a limited number of 2D transversal cuts obtained from scanners. This is motivated by the fact that data can be missing. The difficulty of this work is in connecting the blood vessels between some widely spaced cuts to produce the graph corresponding to the network of vessels. We identify the vessels on each transversal cut as a mass to be transported along a graph which allows to determine the bifurcation points of vessels. Specifically, we are interested in branching transportation Brasco et al. (SIAM J Math Anal 43(2):1023---1040, 2011) to model an optimized graph associated with the network of vessels. At this stage, we are able to reconstruct a 3D level set function by using the 2D level set functions given by the transversal cuts and the graph information. When the whole scanner data are available, a global reconstruction is proposed in a simple manner, without using the mass transfer problem.

3D-reconstruction of blood vessels by ultramicroscopy

As recently shown, ultramicroscopy (UM) allows 3D-visualization of even large microscopic structures with µm resolution. Thus, it can be applied to anatomical studies of numerous biological and medical specimens. We reconstructed the three-dimensional architecture of tomato-lectin (lycopersicon esculentum) stained vascular networks by UM in whole mouse organs. The topology of filigree branches of the microvasculature was visualized. Since tumors require an extensive growth of blood vessels to survive, this novel approach may open up new vistas in neurobiology and histology, particularly in cancer research.

Shear stress, vascular remodeling and neointimal formation

The role of shear stress in atherosclerosis has been well documented. However, its role in restenosis was underexposed. In this paper a novel in vivo measuring technique and several of its applications related to restenosis will be described. The technique consists of a combination of 3D reconstruction of blood vessels and computational fluid dynamics (CFD). The 3D imaging techniques use either of 3D intravascular ultrasound (IVUS) as a stand-alone technique or a fusion of biplane angiography and IVUS (ANGUS). CFD is applied in order to relate local shear stress distribution to the morphology of the vessel wall. In the applications of these techniques it will be demonstrated that shear stress plays a role in the prediction of neointimal formation in in-stent restenosis and in vascular remodeling after balloon angioplasty. Attempts to locally increase shear stress by a newly developed flow divider indicate that shear stress reduce in-stent neointimal formation by 50%.