title: Comparative visualization for parameter studies of dataset series.
abstract: This paper proposes comparison and visualization techniques to carry out parameter studies for the special application area of dimensional measurement using 3D X-ray computed tomography (3DCT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial 3DCT device. A high-resolution series is explored using our planar-reformatting-based visualization system. We present a novel multi-image view and an edge explorer for comparing and visualizing gray values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. Our technique is scalable and generic. It can be effective in various application areas like parameter studies of imaging modalities and dataset artifact detection. For fast data retrieval and convenient usability, we use bricking of the datasets and efficient data structures. We evaluate the applicability of the proposed techniques in collaboration with our company partners.
authors.affiliation: Vienna University of Technology, Vienna, Austria. mmm@cg.tuwien.ac.at
authors.forename: Muhammad Muddassir
authors.initials: MM
authors.lastname: Malik
authors.forename: Christoph
authors.initials: C
authors.lastname: Heinzl
authors.forename: M
authors.initials: M
authors.lastname: Eduard Gröller
mesh_terms: D003196:Computer Graphics; D016208:Databases, Factual; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data*; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data; D011857:Radiographic Image Interpretation, Computer-Assisted; D015899:Tomography, Emission-Computed, Single-Photon / Q000706:statistics & numerical data; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*