3D Imaging of Rapidly Spinning Space Targets Based on a Factorization Method. Glioma grading based on 3D multimodal convolutional neural network. Using a hierarchical Bayesian model. Bioinformatics and Computational Biology. Rozi Askar, Dong Wang, Fanhu Bie, Jun Wang, Thomas Fang Zheng. 3D Models below are suitable not only for printing but for also for any computer graphics like CG, VFX, Animation or even CAD. Adresnie tablichki v vektore. Print these 3d models on your favorite 3d printer or render them with your favorite render engine. Please note, that 3dMdb (3D Model database) is only a Search Engine.
Abstract Introduction. Electroporation-based treatments rely on increasing the permeability of the cell membrane by high voltage electric pulses delivered to tissue via electrodes. To ensure that the whole tumor is covered by the sufficiently high electric field, accurate numerical models are built based on individual patient geometry. For the purpose of reconstruction of hepatic vessels from MRI images we searched for an optimal segmentation method that would meet the following initial criteria: identify major hepatic vessels, be robust and work with minimal user input. Materials and methods. Material dlya stengazeti po matematike 3 klass. We tested the approaches based on vessel enhancement filtering, thresholding, and their combination in local thresholding.
The methods were evaluated on a phantom and clinical data. Results show that thresholding based on variance minimization provides less error than the one based on entropy maximization. Best results were achieved by performing local thresholding of the original de-biased image in the regions of interest which were determined through previous vessel-enhancement filtering. In evaluation on clinical cases the proposed method scored in average sensitivity of 93.68%, average symmetric surface distance of 0.89 mm and Hausdorff distance of 4.04 mm. The proposed method to segment hepatic vessels from MRI images based on local thresholding meets all the initial criteria set at the beginning of the study and necessary to be used in treatment planning of electroporation- based treatments: it identifies the major vessels, provides results with consistent accuracy and works completely automatically. Whether the achieved accuracy is acceptable or not for treatment planning models remains to be verified through numerical modeling of effects of the segmentation error on the distribution of the electric field.