Enhancing Fourier Volume Rendering Using Contour Extraction

Abstract

Abstract. Fourier Volume Rendering (FVR) has received considerable attention in volume visualization during the last decade due its O(N 2 logN ) rendering time complexity, where O(N 3 ) is the volume size. Nevertheless, FVR currently suffers from some quality limiting its usefulness in particular medical applications. The main reason for this is the lack of weighting sample points in dependence of the samples along the integration path. In this work we propose a solution for a special class of problems, namely the extraction and emphasis of contours in volumetric datasets. The accuracy of the illumination of the extracted contours can be derived in an exact manner. Main applications of our method include contour extraction and enhancement of features, noise removal and revealing of important spatial relationships between interior and exterior structures, making it an attractive tool for improved X-ray-like investigations of the given dataset.

High Performance GPU-Based Fourier Volume Rendering

“…FVR suffered from reduced reconstruction quality that limited its usefulness in particular medical applications. In [ 16 ], a solution for enhancing FVR using contour extraction was proposed. It provided a flexible method for extracting material boundaries on surfaces in the Fourier space.…”

Constructing a functional Fourier volume rendering pipeline on heterogeneous platforms

“…FVR suffered from reduced reconstruction quality limiting its usefulness in particular medical applications. In [7], a solution for enhancing FVR using contour extraction is proposed. It supported extracting material boundaries on surfaces in the Fourier space.…”