title: 3D visualization to assist iterative object definition from medical images.
abstract: In medical imaging, many applications require visualization and/or analysis of three-dimensional (3D) objects (e.g. organs). At same time, object definition often requires considerable user assistance. In this process, objects are usually defined in an iterative way and their visualization during the process is very important to guide the user's actions for the next iteration. The usual procedure provides slice visualization during object definition (segmentation) and 3D visualization afterward. In this paper, we propose and evaluate efficient methods to provide 3D visualization during iterative object definition. The methods combine the differential image foresting transform for segmentation with voxel splatting/ray casting for visualization.
authors.affiliation: School of Electrical and Computer Engineering, State University of Campinas, UNICAMP, C.P. 6101, 13083-852 Campinas, SP, Brazil.
authors.forename: Romaric
authors.initials: R
authors.lastname: Audigier
authors.forename: Roberto
authors.initials: R
authors.lastname: Lotufo
authors.forename: Alexandre
authors.initials: A
authors.lastname: Falcão
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging; D006801:Humans; D021621:Imaging, Three-Dimensional; D011859:Radiography