Morphological and functional precision diagnostics of the nose
Morphological and functional precision diagnostics of the nose
Easy access and integration of external users and workflow managers to the HPC resources is crucial for the Rhinodiagnostic project. Therefore, the Jülich Supercomputing Centre (JSC) as part of the Forschungszentrum Jülich added a web access based on Jupyter/JupyterHub to the usual access via SSH. Jupyter (https://jupyter.org) is an open source web application and offers (in combination with JupyterHub) an […]
» Read more
Problem definition: Segmentation (generation of content-related regions, here: determination of nasal cavities and paranasal sinuses from CT images) using a “Convolutional Neural Network” (CNN) with Google TensorFlow In order to generate a 3D model from image data, the pixels that should represent the 3D model are to be selected. But CT pictures have image noise (random variation of brightness or […]
» Read more
A meaningful rhinological diagnosis is key to evaluate the eff ectiveness of the patient-speci fic nasal functionalities, taking into account the respective pathology. The diagnostic quality is currently primarily based on the quality of the training of the practicing physician and his or her experience in the treatment of speci fic clinical pictures. Unfortunately, such analyses do not include any information on the […]
» Read more
Computational fluid dynamics (CFD) is an established method for the simulation of complex flows. It solves the Navier-Stokes equations (momentum, mass, and energy conservation) with numerical methods (e.g. finite volume of lattice-Bolztmann methods). Flow-related problems are processed in four steps. First, a geometry covering the volume of interest is created in a CAD program. The geometry is then cross-linked […]
» Read more
Image files that have been created by magnetic resonance tomography (MR), computed tomography (CT) or microtomography can be converted into a computer model by image-based meshing. With the Marching Cubes algorithm, a voxel image consisting of image points is approximated by a polygon image. By using triangulation the surface is then divided into pieces that are relevant for the flow […]
» Read more