Illustrative Multi-volume Rendering for PET/CT Scans

Automated volumetric delineation of cancer tumors on PET/CT images using 3D convolutional neural network (V-Net)..

The system can be implemented as follows: A web-service client runs on the user device, collecting sensor data from the device and input data from the user. The client compiles

Dagens kunnskapsgrunnlag er oppsummert i resultatdelen. Vi har brukt resultatene fra den nyeste tilgjengelige systematiske oversikten av høy kvalitet. I gjennomgang

Abstract Here we show for the first time the combined positron emission tomography (PET) and com- puted tomography (CT) imaging of flow processes within porous rocks to quantify

To visualize the unin- terpreted seismic data we render the cutting planes and the surrounding volume with the color trans- fer function used for the cutout volume rendering.. The

Figure 4 shows the tooth data set rendered with gradient- magnitude opacity-modulation, direct volume rendering us- ing a clipping plane, and context-preserving volume render- ing

An acceleration technique for direct volume rendering of scenes, composed of multiple volumetric objects, is developed; it is based on the distinction between regions of

In the following, we present an interactive GPU-based illustrative framework, called VolFlies- GPU, for rendering volume data, exploiting parallelism in both graphics hardware