Intermixed visualization of anatomical structure and ventricular shape in cardiology

Abstract

In this paper, we present a novel technique for intermixed visualization of anatomical structure and ventricular shape for cardiac diagnosis. The work aims at efficiently presenting information from multiple volumes so as to obtain comprehensive pictures of clinical cases. We propose selective volume rendering for visualizing selected portions of fuzzy surfaces extracted by local image processing method as well as data intermixing for combining of selective volume rendering and conventional volume rendering. We show the results of selective volume rendering of left ventricle and right ventricle based on the cardiac dataset and the results of data intermixing of combining original volume and left ventricular volume or right ventricular volume. Our method offers the accelerated technique to accurately visualize the surfaces of defined shapes selected from the anatomical structure and the effective visual output and relations of multiple volumes using different data intermixing in three dimensional space.